Podcasts about moocs

This episode welcomes Linden Thomas (University of Birmingham) and John Lunney (Law Society of Ireland) to talk us through Public Legal Education and how lawyers can have a big impact in helping the public to improve their legal literacy. The public are all bound by the law but many individuals and groups do not know how the law impacts them and interacts with their every day life.  Public Legal Education seeks to help the public improve their knowledge of, and confidence with the law, rather than providing specific advice on a specific issue.   This episode explores the detail of this important movement as well as delving into a subsection of public legal education – Street Law.   We always encourage listeners to undertake practical actions after listening to the episode.  -        Look at the Moocs hosted by the Law Society of Ireland https://www.lawsociety.ie/mooc -        Explore the Young Citizen's website https://www.youngcitizens.org/ Useful resources -        Definition of Public Legal Education on the Law Society Website. https://www.lawsociety.org.uk/campaigns/public-legal-education  -        Dr Sean Arthur's article: Street Law: Creating Tomorrow's Citizens Today  https://heinonline.org/HOL/Page?handle=hein.journals/lewclr19&div=41&g_sent=1&casa_token=zXZmYC7dKX0AAAAA:EfE1sg9Rvwka1t0VlvUWz-okEwQjjMv-KNX2liZzIAFZlvR74Mzes39cjR1IT1mJvyvXx6vY&collection=journals -        The Kids Aren't Alright: The 4 Factors Driving a Dangerous Detachment from Democracy. https://www.ukonward.com/reports/the-kids-arent-alright-democracy/ -        Street Law Inc. https://streetlaw.org/  

Bienvenue dans le second épisode de notre saison numéro 3Présentation du format de cet épisode qui a pour thème :Pour en parler, nous accueillons... nous deux Pierre Audierne et Julien Morisson que l'on ne présente plus (du moins on espère

Students form an important part of the university community. As the younger generation, they are also those, whose future is at stake in the global environmental crisis. In face of these challenges, the students are increasingly building agency to create a path towards more sustainable future. In this episode, Doctor Abdul-Gafar Tobi Oshodi discusses students' voices and how students are taking an active role in sustainability work in the Lagos State University in Nigeria. Join us to learn how the students have overcome challenges and engaged in various activities ranging from practical sustainable campus development to awareness-building. Pilvi Posio is a senior researcher at the University of Turku, Finland. She currently works in the project MOOCs for Sustainability: Empowering Global Campuses coordinated by the Finnish University Network for Asian Studies. Doctor Abdul-Gafar Tobi Oshodi is a teacher and researcher at the Department of Political science at the Lagos State University. He's focusing in his research work on socio-economic challenges and the role of China in Africa. Transcript: https://www.utu.fi/fi/ajankohtaista/podcast/hopeful-globe

Dr. Kanjana Thepboriruk sits down with Dr. Pam Barger and Dr. James Cohen to talk about teaching English to speakers of other languages (TESOL) and massive open online courses (MOOCs) in Thailand. They discuss how MOOCs are capable of disrupting the way English is taught while providing universally accessible methods of language learning. Dr. Barger is a Thai American scholar and a professor of English language teaching at Wheaton College. She specializes in Comparative International Education.

In this Episode:  Dr. Jeremy Lucabaugh, Tom Bradshaw, LindaAnn Rogers, Emi Barresi, Matthew Lampe, Nic Krueger, Lee Crowson, Dr Martha Grajdek, Peter Plumeau    Visit us https://www.seboc.com/ Follow us on LinkedIn: https://bit.ly/sebocLI Join an open-mic event: https://www.seboc.com/events   References Brusoni, S., & Pavitt, K. (2003). Problem solving and the co-ordination of innovative activities. Clayton Christensen, Disruptive Innovation. http://www. claytonchristensen. com/key% 20concepts.   Vriens, D., & Søilen, K. S. (2014). Disruptive Intelligence to gather Information to deal with disruptive innovations. Journal of Intelligence Studies in Business, 4(3).   Young, S. (2018). From disruption to innovation: thoughts on the future of MOOCs. Вопросы образования, (4 (eng)), 21-43.

Digital storytelling provides students the opportunity to bring their lived experiences into the classroom as creators rather than consumers of knowledge. In this episode, Tom Mackey and Sheila Aird join us to discuss ways digital storytelling can be used to increase student information literacy, critical thinking skills, and to support diversity, equity, and inclusion initiatives. Tom is a Professor of Arts and Media and Program Coordinator for the BA and BS degrees in Digital Media Arts at SUNY Empire State University. He is the recipient of a 2022 SUNY Chancellor's Award for Excellence in Scholarship and Creative Activities and the recipient of several other awards for his teaching and mentoring work. Tom is also the co-author of several books and two MOOCs that focus on metaliteracy. Sheila is an Associate Professor and European Director of International Programs at SUNY's Empire State University in Prague, in the Czech Republic. Her work broadly focuses on cultural history and public scholarship with a particular focus on  public history, pop culture, children of colonial enslavement, and issues of race in the African Diaspora community. Sheila has presented her work in many domestic and international venues and has co-authored two papers with Tom. Sheila and Tom are the co-editors of the new book, Teaching Digital Storytelling: Inspiring Voices through Online Narratives, published in 2024 by Rowman and Littlefield. They also co-authored the framing chapter for this volume based on their collaborative development and teaching of Digital Storytelling as a virtual exchange between SUNY Empire students studying in Prague and the United States. A transcript of this episode and show notes may be found at http://teaforteaching.com.

In this Episode:  Dr. Jeremy Lucabaugh, Tom Bradshaw, LindaAnn Rogers, Emi Barresi, Matthew Lampe, Nic Krueger, Lee Crowson, Dr Martha Grajdek, Peter Plumeau    Visit us https://www.seboc.com/ Follow us on LinkedIn: https://bit.ly/sebocLI Join an open-mic event: https://www.seboc.com/events   References Brusoni, S., & Pavitt, K. (2003). Problem solving and the co-ordination of innovative activities. Clayton Christensen, Disruptive Innovation. http://www. claytonchristensen. com/key% 20concepts.   Vriens, D., & Søilen, K. S. (2014). Disruptive Intelligence to gather Information to deal with disruptive innovations. Journal of Intelligence Studies in Business, 4(3).   Young, S. (2018). From disruption to innovation: thoughts on the future of MOOCs. Вопросы образования, (4 (eng)), 21-43.

In this episode of Upstream, we're releasing an interview from 2021 with Marc Andreessen, Sriram Krishnan, and Aarthi Ramamurthy. They discuss the higher education system's inefficiencies, high costs and lack of competition, and explore innovative education models including cohort-based learning and unbundling education components. Marc shares personal anecdotes about his college experience and emphasizes the need for tech and internet-based educational models to educational models to evolve and meet global demand.

Original Show Notes------Sean and Punya welcome special guests Dr. Scotty Craig (ASU) and Dr. Ryan Baker (Penn) to discuss rapidly evolving field of Artificial Intelligence (AI), machine learning, and what implications it may have for educationGuest InformationDr. Scotty CraigIs an associate professor of human systems engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Craig is a learning engineer and has investigated research areas of emotion and learning, multimedia learning, and intelligent tutoring systems (ITS)in both laboratory and applied classroom settings. Scotty is also a fellow member of our own AI in Education Learning Futures Collaborative here at ASU.Dr. Ryan BakerIs a professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics.Dr. Baker researches how students use and learn from educational games, intelligent tutors, and other kinds of educational software. Drawing on the fields of educational data mining, learning analytics, and human–computer interaction, he develops methods for mining the data that come out of the interactions between students and educational software. He then uses this information to improve our understanding of how students respond to educational software, and how these responses influence their learning.Topics discussed:UNESCO publications on Artificial Intelligence in educationMaturity of AI in Education from both a technical perspective and practical / pedagogical perspectiveParsing student behaviors in moocs and other environments, including one that caught our eye, what Dr. Baker called “wtf” behaviorsCalls for future developments of AI to be grounded in a human-centered approachAlgorithmic bias, challenges, pitfalls and opportunitiesHow does a system like ChatGPT from Open AI impact the possible future of online learning and behavior?Big picture idea, What are we gaining and losing in seeing ourselves as essentially streams of data?Resources and Links:-Chiou, E. K., & Lee, J. D. (2021). Trusting automation: Designing for responsivity and resilience. Human factors, 0018720821100999-Penn Center for Learning Analytics-Algorithmic Bias in Education-U Penn Learning Analytics (Online) Master of Science in Education Degree Program MS in Human Systems Engineering with a Concentration in Intelligent Systems at ASUThe Intelligent Systems Concentration provides students with a Master of Science in Human Systems Engineering that prepares them with the skills needed to improve our world by creating innovative technology-based systems that integrate into human environments. Our faculty provide a guided experience with training in theory, development, and evaluation. For more information, check out our website or email  Dr. CraigLink: https://poly.engineering.asu.edu/hse/ms/

Liliya Morska talks about her use and research using MOOCs (Massively Open Online Courses) in her teaching at university with students in Poland and Ukraine.

We're pleased to have Dave Cormier, author of “Learning in a Time of Abundance,” on the show this week to explore the transformative shifts in education driven by digital abundance and technological advancements. Dave, with his extensive background in educational technology and a pioneering role in the development of MOOCs, delves into the challenges and opportunities presented by the current educational landscape. This discussion highlights the need for a paradigm shift from traditional models of learning to embrace the complexities and richness of information abundance, underscoring the importance of critical thinking, digital literacy, and adaptive learning methodologies in today's society.Guest Name: Dave CormierGuest Social: LinkedInGuest Bio: With 25 years of experience as teacher, researcher and author, Dave is interested in how technologies change what it means to learn and to have learned. He is currently a learning specialist for digital strategy and special projects at the Office of Open Learning at the University of Windsor in Ontario Canada. - - - -Connect With Our Host:Dustin Ramsdellhttps://www.linkedin.com/in/dustinramsdell/https://twitter.com/HigherEd_GeekAbout The Enrollify Podcast Network:The Higher Ed Geek is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Some of our favorites include Generation AI and I Wanna Work There. Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Connect with Us at the Engage Summit:Exciting news — Dustin will be at the 2024 Engage Summit in Raleigh, NC, on June 25 and 26, and we'd love to meet you there! Sessions will focus on cutting-edge AI applications that are reshaping student outreach, enhancing staff productivity, and offering deep insights into ROI. Use the discount code Enrollify50 at checkout, and you can register for just $200! Learn more and register at engage.element451.com — we can't wait to see you there!

Numerosas startups, como los bootcamps en línea y los MOOCs, han intentado revolucionar y reimaginar el sistema de educación superior.Sin embargo, la idea de fusionar estos modelos educativos modernos con universidades tradicionales parecía poco probable hasta hace poco.Con más de 120 mil suscriptores pagos y un millón de usuarios, Alura hizo noticia al adquirir FIAP, una reconocida universidad privada de tecnología en Brasil.Este movimiento fue un paso estratégico hacia la oferta de cursos integrales y clases presenciales que complementan sus programas en línea.Hoy en "The Startupeable Show" conversé con  Paulo Silveira, fundador de Alura, para entender las razones detrás de la adquisición de una universidad tradicional, por qué la educación en línea no puede crecer tan rápido como el SaaS, cómo equilibrar el crecimiento rápido con la calidad del aprendizaje y si las startups realmente podrán revolucionar las universidades tradicionales.Síguenos en el canal de "The Startupeable Show" en Spotify:

Today my guest is Phil Hill, an ed tech consultant and Lead at Phill Hill and Associates. Today he joins us to talk about the last twenty years and how they have shaped the sector. The conversation ranges pretty widely across a number of topics here, one of the most interesting has to do with the historic role of MOOCs. Alex and Phil agree that they are a historic failure judged by the claims made about their impact at the time, but Phil argues – pretty persuasively, that they might just possibly have been a key turning point in the history of the delivery higher education.Links:Phil Hill and AssociatesHESA's 2024 Canadian Federal Budget Commentary

In this episode, we discuss the growing trend of remote learning and online education, including MOOCs, virtual classrooms, and digital credentialing. Get on the AI Box Waitlist: ⁠⁠⁠https://AIBox.ai/⁠⁠⁠AI Facebook Community: ⁠https://www.facebook.com/groups/739308654562189⁠Podcast Studio AZ: ⁠https://podcaststudio.com/az⁠Podcast Studio Network: ⁠https://PodcastStudio.com/

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Join host Craig Smith in episode #178 of Eye on AI for an enlightening conversation with Terry Sejnowski, President of the NeurIPS Foundation and is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory  In this episode, Terry shares his unique insights into the evolution of neural networks, the monumental impact of models like GPT-4, and the intricate relationship between AI technologies and societal norms. Learn about the future trajectory of AI development, as Terry highlights the importance of integrating human brain development aspects into AI to foster models that better understand and integrate into human culture. Discover Terry's perspective on the role of reinforcement learning in AI, the challenges of aligning AI with ethical considerations, and the potential of neuromorphic engineering to revolutionize energy-efficient computing. This discussion also touches on the implications of AI in reshaping industries, science, and the global workforce. An essential listen for those fascinated by the ethical dimensions of AI, the potential of neuroscience to inform AI development, and the broader societal impacts of technological advancement.  If you're drawn to the complexities of AI and its potential to redefine our future, don't forget to rate us on Apple Podcast and Spotify. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Terry Sejnowski  (01:54) Bridging Computational Neuroscience with AI Development (05:24) Biological Principles in AI: Learning and Adaptation (07:07) The Crucial Role of Reinforcement Learning in AI (10:12) Breakthroughs in AI: Scaling Models and Language Processing (13:38) The Rapid Pace of AI Evolution: Implications and "AI Time" (16:58) Ethical Considerations and AI Alignment Challenges (20:23) Neuromorphic Engineering and Energy Efficiency (25:42) Real-world Applications: AI's Expanding Role in Society (29:04) The Developmental Approach: Training AI with Human Nuances (33:32) The Impact of AI on Science and Discovery (40:19) AI Education and Lifelong Learning: Overcoming Barriers (43:20) MOOCs and the Democratization of Learning in the AI Era (47:08) Balancing Innovation and Safety in the Accelerating AI Landscape  

Coursera is arguably the best known platform for massive open online courses (MOOCs) with over 142 million registered users worldwide and a catalogue of close to 7000 courses. The company went public in 2021 in the wake of the Covid-19 boom in the education technology sector, but has since seen its share price more than halve below its IPO. With generative A.I. at the cusp of transforming business and higher education, how is Coursera positioning itself to capitalise on this trend? We discuss these themes with Jeff Maggioncalda, Global CEO of Coursera.

LG 清空塔 | 雙機一體，清而易舉！吸塵器x掃地機─分進合擊！二合一省空間，雙機自動除塵。全球首發上市，預購送除蟎吸頭https://fstry.pse.is/5kg5w5 —— 以上為播客煮與 Firstory Podcast 廣告 —— ------------------------------- 通勤學英語VIP加值內容與線上課程 ------------------------------- 通勤學英語VIP訂閱方案：https://open.firstory.me/join/15minstoday 社會人核心英語有聲書課程連結：https://15minsengcafe.pse.is/554esm ------------------------------- 15Mins.Today 相關連結 ------------------------------- 歡迎針對這一集留言你的想法： 留言連結 主題投稿/意見回覆 : ask15mins@gmail.com 官方網站：www.15mins.today 加入Clubhouse直播室：https://15minsengcafe.pse.is/46hm8k 訂閱YouTube頻道：https://15minsengcafe.pse.is/3rhuuy 商業合作/贊助來信：15minstoday@gmail.com ------------------------------- 以下是此單集逐字稿 (播放器有不同字數限制，完整文稿可到官網) ------------------------------- Topic: In Race for Tuition-Free College, New Mexico Stakes a Claim As universities across the United States face steep enrollment declines, New Mexico's government is embarking on a pioneering experiment to fight that trend: tuition-free higher education for all state residents. 隨著美國各地大學入學人數急劇下滑，新墨西哥州政府正著手進行一項開創性實驗來應對這一趨勢：為全州居民提供免學費高等教育。 After President Joe Biden's plan for universal free community college failed to gain traction in Congress, New Mexico, one of the nation's poorest states, has emerged with perhaps the most ambitious plans as states scramble to come up with their own initiatives. 在美國總統拜登的全民免費社區大學計畫未能獲得國會支持後，美國最窮的州之一新墨西哥州提出的計畫，可能是各州爭相提出行動倡議中最具雄心的一個。 A new state law approved in a rare show of bipartisanship allocates almost 1% of the state's budget toward covering tuition and fees at public colleges and universities, community colleges and tribal colleges. All state residents from new high school graduates to adults enrolling part-time will be eligible regardless of family income. The program is also open to immigrants regardless of their immigration status. 一項新的州法在兩黨罕見合作下通過，將州預算的1%用於支付公立大學、社區大學與部落學院的學費。所有州民，從剛畢業的高中生到參加兼職教育的成人都有資格參加，無論家庭收入。該計畫也向移民開放，無論他們的移民身分如何。 Some legislators and other critics question whether there should have been income caps and whether the state, newly flush with oil and gas revenue, can secure long-term funding to support the program beyond its first year. The legislation, which seeks to treat college as a public resource similar to primary and secondary education, takes effect in July. 一些議員和其他批評人士質疑是否應設所得限制，以及剛獲大量石油與天然氣收入的該州是否能在計畫實施第一年後，獲得長期資金支持。這項立法將於7月生效，旨在將大學視為與中小學教育類似的公共資源。 Although nearly half the states have embraced similar initiatives that seek to cover at least some tuition expenses for some students, New Mexico's law goes further by covering tuition and fees before other scholarships and sources of financial aid are applied, enabling students to use those other funds for expenses such as lodging, food or child care. 儘管近半的州已採取類似舉措，想幫一些學生支付至少部分學費和雜費，新墨西哥州法律更進一步，在申請其他獎學金和學費補助前，先支付學雜費，讓學生能使用其他資金，支付如住宿、食物或兒童照顧等費用。 “The New Mexico program is very close to ideal,” said Michael Dannenberg, vice president of strategic initiatives and higher education policy at the nonprofit advocacy group Education Reform Now. Considering the state's income levels and available resources, he added that New Mexico's program is among the most generous in the country. 非營利倡議組織Education Reform Now策略倡議暨高教政策副總裁丹能貝格說：「新墨西哥的計畫非常貼近理想。」他表示，考量收入水準與可用資源，新墨西哥州的計畫是全美最慷慨的。 Dannenberg emphasized that New Mexico is going beyond what larger, more prosperous states like Washington and Tennessee have already done. Programs in other states often limit tuition assistance to community colleges, exclude some residents because of family income or impose conditions requiring students to work part time. 丹能貝格強調，新墨西哥州正超越華盛頓和田納西這些更大、更繁榮的州所做的事。其他州通常限制對社區大學的學費補助，因家庭收入排除一些州民，或要求學生兼職。Source article: https://udn.com/news/story/6904/6329103 Next Article Topic: Colleges Slash Budgets in the Pandemic,With ‘Nothing Off-Limits' Ohio Wesleyan University is eliminating 18 majors. The University of Florida's trustees last month took the first steps toward letting the school furlough faculty. The University of California, Berkeley, has paused admissions to its doctoral programs in anthropology, sociology and art history. 美國俄亥俄衛斯理大學取消了18個科系。佛州大學董事會9月採取初步措施，目標是讓校方有權放教師無薪假。柏克萊加州大學則暫停招收人類學、社會學和藝術史的博士班學生。 As it resurges across the country, the coronavirus is forcing universities large and small to make deep and possibly lasting cuts to close widening budget shortfalls. By one estimate, the pandemic has cost colleges at least $120 billion, with even Harvard University, despite its $41.9 billion endowment, reporting a $10 million deficit that has prompted belt tightening. 由於全美各地新冠肺炎疫情再度惡化，美國各大學不論規模大小，都被迫大砍支出，以彌補逐漸擴大的預算缺口，刪減的支出可能長期都不會恢復。有人估計，疫情至少使美國各大學合計損失1200億美元，就連坐擁419億美元辦學基金的哈佛大學也出現1000萬美元預算赤字，被迫勒緊褲帶。 The persistence of the economic downturn is taking a devastating financial toll, pushing many to lay off or furlough employees, delay graduate admissions and even cut or consolidate core programs like liberal arts departments. 經濟持續疲軟造成極其嚴重的財務災情，迫使許多大學裁員或放無薪假，推遲研究所學生入學，甚至取消或合併文科等核心學程。 The University of South Florida announced last month that its College of Education would become a graduate school only, phasing out undergraduate education degrees to help close a $6.8 million budget gap. In Ohio, the University of Akron, citing the coronavirus, successfully invoked a clause in its collective-bargaining agreement in September to supersede tenure rules and lay off 97 unionized faculty members. 南佛州大學上個月宣布，其教育學院將只留下研究所，分階段取消大學部，以彌補680萬美元的預算缺口。在俄亥俄州，艾克朗大學以疫情為由，在9月成功援用團體協約一項條款取代任期規則，裁掉97名加入工會的教師。 “We haven't seen a budget crisis like this in a generation,” said Robert Kelchen, a Seton Hall University associate professor of higher education who has been tracking the administrative response to the pandemic. “There's nothing off-limits at this point.” 西東大學高等教育副教授柯爾欽一直在關注校方對疫情的反應，他說：「這是一個世代以來從未見過的預算危機，在這種關頭，沒有什麼不能碰。」 Even before the pandemic, colleges and universities were grappling with a growing financial crisis, brought on by years of shrinking state support, declining enrollment, and student concerns with skyrocketing tuition and burdensome debt. Now the coronavirus has amplified the financial trouble systemwide, though elite, well-endowed colleges seem sure to weather it with far less pain. 早在疫情爆發前，美國大專院校就為日益嚴重的財務危機而掙扎，原因是州政府補助日漸減少，學生註冊數下滑而且介意學費高漲和學貸負擔沉重，如今，疫情擴大了整個高教體系財務問題，不過，辦學基金厚實的菁英大學似乎可度過難關，且承受的痛苦會少得多。 “We have been in aggressive recession management for 12 years — probably more than 12 years,” Daniel Greenstein, chancellor of the Pennsylvania State System of Higher Education, told his board of governors as they voted to forge ahead with a proposal to merge a half-dozen small schools into two academic entities. 賓州高等教育體系董事會表決通過，大力推動將6個小規模學院併為兩個學術單位，當時總校長葛林斯坦對董事會說：「我們積極從事於衰退問題管理已有12年，應該還不止12年。」 Source article: https://paper.udn.com/udnpaper/POH0067/359091/web/ Next Article Topic: Remember the MOOCs? After Near-Death, They're Booming Sandeep Gupta, a technology manager in California, sees the economic storm caused by the coronavirus as a time “to try to future-proof your working life.” So he is taking an online course in artificial intelligence. 美國加州科技業經理古普塔認為，新冠肺炎引發的經濟風暴是「防止職業生涯被未來淘汰」的時機，所以修讀了一門關於人工智慧的線上課程。 Dr. Robert Davidson, an emergency-room physician in Michigan, says the pandemic has cast “a glaring light on the shortcomings of our public health infrastructure.” So he is pursuing an online master's degree in public health. 密西根州急診室醫師戴維森說，疫情「使我們公衛基礎設施的弱點顯而易見」，所以他在修讀線上公衛碩士學位。 Children and college students aren't the only ones turning to online education during the coronavirus pandemic. Millions of adults have signed up for online classes in the past two months, too — a jolt that could signal a renaissance for big online learning networks that had struggled for years. 在新冠肺炎大流行期間轉而接受線上教育者，不限於兒童和大學生。過去兩個月，數以百萬計的成人也註冊參加線上課程，這令人驚訝的事實可能意味苦撐多年的大型線上學習網路即將再起。 Coursera, in which Gupta and Davidson enrolled, added 10 million new users from mid-March to mid-May, seven times the pace of new sign-ups in the previous year. Enrollments at edX and Udacity, two smaller education sites, have jumped by similar multiples. 古普塔與戴維森註冊的Coursera，從3月中旬到5月中旬增加1000萬新用戶，是去年同期新增註冊人數的七倍。edX與Udacity這兩個規模較小的教育網站，新註冊人數也以類似倍數暴增。 “Crises lead to accelerations, and this is best chance ever for online learning,” said Sebastian Thrun, a co-founder and chairman of Udacity. Udacity共同創辦人兼董事長史朗說：「危機導致改變加速發生，這是線上學習業未曾遇過的最佳良機。」 Coursera, Udacity and edX sprang up nearly a decade ago as high-profile university experiments known as MOOCs, for massive open online courses. They were portrayed as tech-fueled insurgents destined to disrupt the antiquated ways of traditional higher education. But few people completed courses, grappling with the same challenges now facing students forced into distance learning because of the pandemic. Screen fatigue sets in, and attention strays. Coursera、Udacity和edX近十年前出現，嘗試與大學合作推出線上課程而備受矚目，這類課程名為 「大規模開放線上課程」，簡稱「磨課師」。這種課程被描述為獲得科技支持的反叛者，意在顛覆傳統高等教育過時的授課方式。不過，很少有人能修完課程，這些人窮於應付的挑戰，與目前因為疫情被迫遠距學習的學生一樣。長時間盯著螢幕造成疲勞，而且注意力難以集中。 But the online ventures adapted through trial and error, gathering lessons that could provide a road map for school districts and universities pushed online. The instructional ingredients of success, the sites found, include short videos of six minutes or less, interspersed with interactive drills and tests; online forums where students share problems and suggestions; and online mentoring and tutoring. 不過這些線上企業透過反覆試驗來調整，並且積聚了可供被迫線上授課的學區和大學參考的知識和經驗。這些網站發現，線上授課成功的要素包括：短片時間不超過6分鐘，穿插互動練習和測驗；設立線上論壇，讓學生提出問題和建議；並提供線上指導和輔導。 A few top-tier universities, such as the University of Michigan and the Georgia Institute of Technology, offer some full degree programs through the online platforms. 有幾所頂尖大學，如密西根大學和喬治亞理工學院，透過這些線上平台提供一些正式學位學程。 While those academic programs are available, the online schools have tilted toward skills-focused courses that match student demand and hiring trends. 這些線上學校雖提供學術性學程，卻更傾向開設符合學生需要和雇用趨勢的技能課程。 The COVID-19 effect on online learning could broaden the range of popular subjects, education experts say. But so far, training for the tech economy is where the digital-learning money lies. With more of work and everyday life moving online — some of it permanently — that will probably not change. 教育專家指出，新冠肺炎可能會使線上課程熱門科目範圍變得更廣。不過到目前為止，針對科技經濟提供的訓練課程，才是數位教學業的金雞母。隨著更多的工作和日常生活轉移到線上進行，有些是永遠轉到線上，這種情況大概不會改變。 Source articles: https://paper.udn.com/udnpaper/POH0067/354879/web/

From employers to policy makers, universities and their students, everyone agrees that alternative credentials are a good thing for the economy and for expanding access to higher education. But it's one thing to think it's a good idea and another to make it happen. The truth is demand for microcredentials remains low among students, the business plans are patchy and higher education providers haven't fully embraced the new models.  In this episode we hear from an institution who has managed to get alternative credentialing right in a big way. The University of Edinburgh has been building Moocs (massive open online courses) and microcredentials for over 10 years. It currently offers 80 online master's courses and 100 Moocs and microcredentials, reaching 4.7 million learners around the world. Melissa Highton, assistant principal of online and open learning at the university, is here to tell us about their strategy behind developing Moocs, how they remain relevant to millions of learners and the secret behind their commercial success.  Michael D. Smith, a professor of information technology and public policy at Heinz College and Tepper School Of Business at Carnegie Mellon University, speaks with us about his recent book The Abundant University. Having observed disruption in the television and music industries, he urges universities to leverage technology to reach more students and secure their futures.    Read more from Melissa Highton on Campus "A look back over 10 years of Moocs"

In this interview, Jaimie Boyd, National Digital Government Leader for Deloitte Canada, discusses a new report highlighting the demand for digital skills today in the workplace. Boyd talks about the difficulties in finding talent, why it's important for companies to adopt new technologies, the challenges and the investment in cyber security. PRESS RELEASE TORONTO, Nov. 14, 2023 /CNW/ – As some organizations begin to reap the benefits of the digital revolution, the disparities that threaten progress have become more apparent for others. A new report by Deloitte's Future of Canada Centre, Digital equity: Empowering all organizations to succeed in the digital era, finds that not all Canadian organizations are equipped to seize the opportunities created by digital technologies. The third and final digital equity report from Deloitte's Future of Canada Centre reveals that small and medium enterprises (SMEs), Indigenous-owned and -led organizations, public sector organizations, and not-for-profit organizations, face disproportionate barriers to digital equity. Existing and emerging digital technologies carry huge potential to benefit Canadian organizations and spur economic growth, but a lack of in-house specialized technology experience to shape digital strategies or guide digital investment decisions, digital skills shortages in the labour market, and a constantly evolving regulatory and cyberthreat environment, interfere with these organizations' ability catch up, keep up or thrive in a digital era. “Our people are the lifeblood of a resilient economy, and we must first identify, then work to eliminate barriers and ensure they have the skills needed for the future,” says Anthony Viel, CEO, Deloitte Canada. “Thriving organizations create the foundation for thriving people, communities, and societies. The current convergence of cutting-edge technologies underpins a future of possibilities, promising enhanced efficiency, growth, and innovation for all Canadians, and organizations of all sizes across the country. If we act now, Canada's future can be bright, with outcomes for government, business, and people.” Deloitte's new report, which is based on original research including a survey of 804 Canadian senior business leaders, examines the ongoing challenges organizations face across three pillars—access, participation, and ecosystem. The report makes practical and actionable recommendations for leaders of organizations and policymakers on how to work together to ensure a more equitable future. Some of the survey findings include: Two-thirds (67%) of survey respondents describe the cost of software licences and subscriptions as somewhat or very challenging, with one in four (25%) describing it as a great challenge. 56 per cent say choosing between competing software vendors or cloud service providers is somewhat or very challenging. A majority (58%) of survey respondents say uncertainty about which technologies would be most beneficial to the organization is somewhat or very challenging. 67 per cent of organizations with over 10 employees say hiring digitally skilled workers is somewhat or very challenging, which rises to 70 per cent for medium (100-499 employees) and large organizations (500 employees or more). 59 per cent of organizations permit employees to use personal mobile devices for work, while almost a third (32%) permit employees to use personal computers or laptops for work – increasing attack surface for cybercriminals. Meanwhile, 20 per cent of Canadian business leaders surveyed say their organization has not invested in any cybersecurity software or applications. “Organizations open to investing in new ways of working, upskilling, and training employees, will be a part of the movement toward an inclusive digital future” says Jaimie Boyd, National Digital Government Leader at Deloitte Canada. “We hope organizational leaders and policymakers can use our recommendations to address the barriers Canadian organizations are facing and pave the way to a more inclusive digital future for individuals and organizations alike—because we're not there yet.” Some of the recommendations from the report include: Connect every organization with the right digital tools By creating a digital investment strategy clearly linking digital investments to business objectives, employers can participate in the digital economy as they see fit. Attending conferences, trade shows, summits, and seminars will help employers address knowledge gaps around digital solutions and keep them on the pulse of what digital tools are available in the marketplace. Participating in peer networks and industry groups, are ways for leaders to learn from one another and share best practices. Ensure organizations have the skills to thrive in the digital economy Organizations, especially smaller ones and non-profits, that are facing challenges finding and retaining digital talent need to think strategically about their talent value proposition and how it can speak better to digital and tech talent – including by being purpose/mission-forward. Employers can leverage massive open online courses (MOOCs) for on-demand learning paired with informal learning experiences (e.g., lunch-and-learns, mentorships, work-shadowing arrangements) to round out a low-cost upskilling program. Participating in industry advisory groups and working with partners to create industry training hubs are ways organizations can catch up, keep up, or thrive in the digital era. Build a secure and inclusive digital ecosystem Government policy decisions that mandate tech-enablement (such as e-invoicing and open banking), can be real force multipliers for digital adoption, and specifically accelerate small business tech adoption. By designating data protection and privacy champions and educating the workforce on data protection and related vendor management practices, employers can ensure the organization is staying abreast of the latest in the regulatory environment. Click here to read the full report. About Deloitte Canada Deloitte provides audit and assurance, consulting, financial advisory, risk advisory, tax, and related services to public and private clients spanning multiple industries. Deloitte serves four out of five Fortune Global 500® companies through a globally connected network of member firms in more than 150 countries and territories bringing world-class capabilities, insights, and service to address clients' most complex business challenges. Deloitte LLP, an Ontario limited liability partnership, is the Canadian member firm of Deloitte Touche Tohmatsu Limited. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee, and its network of member firms, each of which is a legally separate and independent entity. Please see www.deloitte.com/about for a detailed description of the legal structure of Deloitte Touche Tohmatsu Limited and its member firms. Our global Purpose is making an impact that matters. At Deloitte Canada, that translates into building a better future by accelerating and expanding access to knowledge. We believe we can achieve this Purpose by living our shared values to lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. To learn more about Deloitte's approximately 330,000 professionals, over 11,000 of whom are part of the Canadian firm, please connect with us on LinkedIn, Twitter, Instagram, or Facebook. About The Future of Canada Centre Deloitte Canada's Future of Canada Centre facilitates an exploration of new ideas, viewpoints, and insights about our country's most important national issues, with the aim of helping propel Canada into a new age of growth and competitiveness. It houses a team of Deloitte's most innovative thinkers and experienced leaders, who conduct original research in their respective fields. Mario Toneguzzi is Managing Editor of Canada's Podcast. He has more than 40 years of experience as a daily newspaper writer, columnist, and editor. He was named in 2021 as one of the Top 10 Business Journalists in the World by PR News – the only Canadian to make the list About Us Canada's Podcast is the number one podcast in Canada for entrepreneurs and business owners. Established in 2016, the podcast network has interviewed over 600 Canadian entrepreneurs from coast-to-coast. With hosts in each province, entrepreneurs have a local and national format to tell their stories, talk about their journey and provide inspiration for anyone starting their entrepreneurial journey and well- established founders. The commitment to a grass roots approach has built a loyal audience on all our social channels and YouTube – 500,000+ lifetime YouTube views, 200,000 + audio downloads, 35,000 + average monthly social impressions, 10,000 + engaged social followers and 35,000 newsletter subscribers. Canada's Podcast is proud to provide a local, national and international presence for Canadian entrepreneurs to build their brand and tell their story. #business #CanadasNumberOnePodcastforEntrepreneurs #digital #entrepreneurs# entrepreneurship #smallbusiness

Professor Barbara Oakley is a Distinguished Professor of Engineering at Oakland University. Barbara's research has been described as “revolutionary” in the Wall Street Journal. She is New York Times best-selling author who has published in outlets as varied as the Proceedings of the National Academy of Sciences, the Wall Street Journal, and The New York Times. Her book A Mind for Numbers, on effective learning in STEM disciplines, has sold over a million copies worldwide. Together with Terrence Sejnowski, the Francis Crick Professor at the Salk Institute, Barbara co-teaches Coursera's “Learning How to Learn,” one of the world's most popular massive open online courses with some four million registered students, along with a number of other leading MOOCs. Barbara has adventured widely through her lifetime. She rose from the ranks of Private to Captain in the U.S. Army, during which time she was recognized as a Distinguished Military Scholar. She also worked as a communications expert at the South Pole Station in Antarctica, and has served as a Russian translator on board Soviet trawlers on the Bering Sea. Barbara's latest books: Uncommon Sense Teaching: Practical Insights in Brain Science to Help Students Learn Learn Like a Pro: Science-Based Tools to Become Better at Anything Learning How to Learn: How to Succeed in School Without Spending All Your Time Studying; A Guide for Kids and Teens You can find others here: https://barbaraoakley.com/books/ Social Links LinkedIn: @barbaraoakley Instagram: @barb_oakley

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/environmental-studies

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

What can explain the success of science as an endeavor for getting closer to truth? Does science simply represent a successful methodology, or is it something more? In The Scientific Attitude: Defending Science from Denial, Fraud, and Pseudoscience (MIT Press, 2019), Lee McIntyre addresses recent attacks on science in areas such as climate change, vaccination, and even belief that the world is flat by explaining why science is a culture built around a “scientific attitude” that embraces evidence and a willingness to change beliefs based on where evidence leads. What does it mean for science education if the success of science derives as much from attitude as it does from methodology? And can science provide a model for other truth-seeking endeavors? Join us for a conversation that draws together ideas from science, philosophy, and education and applies them to the most important issues we face as a society. Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. Jonathan Haber is an educational researcher and consultant working at the intersection of pedagogy, technology, and educational policy. His books include MOOCS and Critical Thinking from MIT Press and his LogicCheck project analyzes the reasoning behind the news of the day. You can read more about Jonathan's work at http://www.degreeoffreedom.org. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Have a seat with BreakDown hosts Tim and Paz and their guest Peggy, Deputy Director of the Curatorial and Planning Center at Skills for U. Discover what Skills for U does, what the Taiwan Technical and Vocational Education and Training Conference features, why technical and vocational training and jobs are important, and what role English plays. Then learn about these terms: a jack of all trades and a master of none, MOOCs, and empower. —Vocabulary bilingual 雙語的 (adj.) A highly skilled workforce with many bilingual vocational and technical workers will contribute to raising Taiwan's international competitiveness. corporate 公司的；團體的 (adj.) One challenge in vocational education that corporate ESG and CSR initiatives could address is providing resources for programs that lack up-to-date knowledge and equipment. Note: ESG - environmental, social, and corporate governance; CSR - corporate social responsibility sector 部門 (n.) The conference aims to break down silos in Taiwan's vocational and technical education ecosystem by encouraging communication between the government, nonprofit, industry, and education sectors within it. incorporate包含；加上 (v.) Vocational and technical schools are incorporating English into their programs, helping to make the language alive and relevant for students, teachers, and Taiwan's society. vocational 職業的 (adj.) In a society that values education and professional careers, many parents discourage their children from pursuing a vocational job, not realizing that these jobs can be highly satisfying and that they also contribute to a healthy economy. https://bit.ly/3GtvKZ4 -- Hosting provided by SoundOn

“A.I. is not the problem; it's the solution.”—Andrew Ng at TED, 17 October 2023Recorded 21 November 2023Transcript with relevant links and links to audio fileEric Topol (00:00):Hello, it's Eric Topol with Ground Truths, and I'm really delighted to have with me Andrew Ng, who is a giant in AI who I've gotten to know over the years and have the highest regard. So Andrew, welcome.Andrew Ng (00:14): Hey, thanks Eric. It's always a pleasure to see you.Eric Topol (00:16):Yeah, we've had some intersections in multiple areas of AI. The one I wanted to start with is that you've had some direct healthcare nurturing and we've had the pleasure of working with Woebot Health, particularly with Alison Darcy, where the AI chatbot has been tested in randomized trials to help people with depression and anxiety. And, of course, that was a chatbot in the pre-transformer or pre-LLM era. I wonder if you could just comment about that as well as your outlook for current AI models in healthcare.Andrew Ng (01:05):So Alyson Darcy is brilliant. It's been such a privilege to work with her over the years. One of the exciting things about AI is a general purpose technology. It's not useful for one thing. And I think in healthcare and more broadly across the world, we're seeing many creative people use AI for many different applications. So I was in Singapore a couple months ago and I was chatting with some folks, Dean Chang and one of his doctors, Dr. M, about how they're using AI to read EHRs in a hospital in Singapore to try to estimate how long a patient's going to be in the hospital because of pneumonia or something. And it was actually triggering helpful for conversations where a doctor say, oh, I think this patient will be in for three days, but the AI says no, I'm guessing 15 days. And this triggers a conversation where the doctor takes a more careful look. And I thought that was incredible. So all around the world, many innovators everywhere, finding very creative ways to apply AI to lots of different problems. I think that's super exciting.Eric Topol (02:06):Oh, it's extraordinary to me. I think Geoff Hinton has thought that the most important application of current AI is in the healthcare/ medical sphere. But I think that the range here is quite extraordinary. And one of the other things that you've been into for all these years with Coursera starting that and all the courses for deep learning.AI —the democratization of knowledge and education in AI. Since this is something like all patients would want to look up on whatever GPT-X about their symptoms different than of course a current Google search. What's your sense about the ability to use generative AI in this way?Andrew Ng (02:59):I think that instead of seeing a doctor as a large language model, what's up with my symptoms, people are definitely doing it. And there have been anecdotes of this maybe saving a few people's lives even. And I think in the United States we're privileged to have some would say terrible, but certainly better than many other country's healthcare system. And I feel like a lot of the early go-to market for AI enabled healthcare may end up being in countries or just places with less access to doctors. The definitely countries where you can either decide do you want to go see if someone falls sick? You can either send your kid to a doctor or you can have your family eat for the next two weeks, pick one. So with families made these impossible decisions, I wish we could give everyone in the world access to a great doctor and sometimes the alternatives that people face are pretty harsh. I think any hope, even the very imperfect hope of LLM, I know it sounds terrible, it will hallucinate, it will give bad medical advice sometimes, but is that better than no medical advice? I think there's really some tough ethical questions are being debated around the world right now.Eric Topol (04:18):Those hallucinations or confabulation, won't they get better over time?Andrew Ng (04:24):Yes, I think LLM technology is advanced rapidly. They still do hallucinate, they do still mix stuff up, but it turns out that I think people still have an impression of LLM technology from six months ago. But so much has changed in the last six months. So even in the last six months, it is actually much harder now to get an LMM, at least many of the public ones offered by launch companies. It's much harder now compared to six months ago to get it to give you deliberately harmful advice or if you ask it for detailed instructions on how to commit a crime. Six months ago it was actually pretty easy. So that was not good. But now it's actually pretty hard. It's not impossible. And I actually ask LLMs for strange things all the time just to test them. And yes, sometimes I can get them when I really try to do something inappropriate, but it's actually pretty difficult.(05:13):But hallucination is just a different thing where LLMs do mix stuff up and you definitely don't want that when it comes to medical advice. So it'll be an interesting balance I think of when should we use web search for trust authoritative sources. So if I have a sprained ankle, hey, let me just find a webpage on trust from a trusted medical authority on how to deal with sprained ankle. But there are also a lot of things where there is no one webpage that just gives me an answer. And then this is an alternative for generating a novel thing that's need to my situation. In non-healthcare cases, this has clearly been very valuable in just the healthcare, given the criticality of human health and human life. I think people are wrestling with some challenging questions, but hallucinations are slowly going down.Eric Topol (05:59):Well, hopefully they'll continue to improve on that. And as you pointed out the other guardrails that will help. Now that gets me to a little over a month ago, we were at the TED AI program and you gave the opening talk, which was very inspirational, and you basically challenged the critics of the negativism on AI with three basic issues: amplifying our worst impulses, taking our jobs and wiping out humanity. And it was very compelling and I hope that that will be posted soon. And of course we'll link it, but can you give us a skinny of your antidote to the doomerism about AI?Andrew Ng (06:46):Yeah, so I think AI is a very beneficial technology on average. I think it comes down to do we think the world is better off or worse off with more intelligence in it, be it human intelligence or artificial intelligence? And yes, intelligence can be used for nefarious purposes and it has been in history, I think a lot of humanity has progress through humans getting smarter and better trained and more educated. And so I think on average the world is better off with more intelligence in it. And as for AI wiping oiut humanity, I just don't get it. I've spoken with some of the people with this concern, but their arguments for how AI could wipe up humanity are so vague that they boil down to it could happen. And I can't prove it won't happen any more than I can prove a negative like that. I can't prove that radio wave is being emitted from earth won't cause aliens to find us and space aliens to wipe us out. But I'm not very alarmed about space aliens, maybe I should be. I don't know. And I find that there are real harms that are being created by the alarmist narrative on AI. One thing that's quite sad was chatting with they're now high school students that are reluctant to enter AI because they heard they could lead to human extinction and they don't want any of that. And that's just tragic that we're causing high school students to make a decision that's bad for themselves and bad for humanity because of really unmerited alarms about human extinction.Eric Topol (08:24):Yeah, no question about that. You had, I think a very important quote is “AI is not the problem, it's the solution” during that. And I think that gets us to the recent flap, if you will, with OpenAI that's happened in recent days whereby it appears to be the same tension between the techno-optimists like you and I would say, versus the effective altruism (EA) camp. And I wonder what your thoughts are regarding, obviously we don't know all the inside dynamics of this, with probably the most publicized interactions in AI that I can remember in terms of its intensity, and it's not over yet. But what were your thoughts about as this has been unfolding, which is, of course, still in process?Andrew Ng (09:19):Yeah, honestly, a lot of my thoughts have been with all the employees of OpenAI, these are hundreds of hardworking, well-meaning people. They want to build tech, make available others, make the world better off and out of the blue overnight. The jobs livelihoods and their levers to make a very positive impact to the world was disrupted for reasons that seem vague and at least from the silence of the board, I'm not aware of any good reasons for really all these wonderful people's work and then livelihoods and being disrupted. So I feel sad that that just happened, and then I feel like OpenAI is not perfect, no organization in the world is, but frankly they're really moving AI forward. And I think a lot of people have benefited from the work of OpenAI. And I think the disruptions of that as well is also quite tragic. And this may be—we will see if this turns out to be one of the most dramatic impacts of unwarranted doomsaying narratives causing a lot of harm to a lot of people. But we'll see what continuously emerges from the situation.Eric Topol (10:43):Yeah, I mean I think this whole concept of AGI, artificial general intelligence and how it gets down to this fundamental assertion that we're at AGI, the digital brain or we're approximating or the whole idea that the machine understanding is that at unprecedented levels. I wonder your thoughts because obviously there still is the camp that says this is a sarcastic parrot. It's all anything that suggests understanding is basically because of pre-training or other matters and to try to assign any real intelligence that's at the level of human even for a particular task no less beyond human is unfounded. What is your sense about this tension and this ongoing debate, which seemed to be part of the OpenAI board issues?Andrew Ng (11:50):So I'm not sure what happening in the OpenAI board, but the most widely accepted definition of AGI is AI to do any intellectual tasks that the human can. And I do see many companies redefining AGI to other definitions. So for the original definition, I think we're decades away. We're very clearly not there, but many companies that, let's say alternative definitions and yeah, you have an alternative definition, maybe we're there already. One of my eCommerce friends looked at one of the alternative definitions. He said, well, for that definition, I think we got AGI 30 years ago.(12:29):And looking on the more positive side. And I think one of the signs that the companies reach AGI frankly would be if they're rational economic player, they should maybe let go all of their employees that do maybe intellectual work. So until that happens, I just don't, not to joke about it, that would be a serious thing. But I think we're still many decades away from that original definition of AGI. But on the more positive side in healthcare and other sectors, I feel like there's a recipe for using AI that I find fruitful and exciting, which is it turns out that jobs are made out of tasks and I think of AI as automating tasks rather than jobs. So a few years ago, Geoff Hinton had made some strong statements about AI replacing radiologists. I think those predictions have really not come true today, but it turns out as Eric, I enjoy your book, which is very thoughtful about AI as well.(13:34):And I think if you look at say the job of radiologists, they do many, many different things, one of which is read x-rays, but they also do patient intakes, they operate X-ray machines. And I find that when we look at the healthcare sector or other sectors and look at what people are doing, break jobs down into tasks, then usually there can often be a subset of tasks. There's some that are amenable to AI automation and that recipe is helping a lot of businesses create value and also in some cases make healthcare better. So I'm actually excited and because healthcare, so many people doing such a diverse range of tasks, I would love to see more organizations do this type of analysis.(14:22):The interesting thing about that is we can often automate, I'm going to make up a number, 20% or 30% or whatever, have a lot of different jobs tasks. So one, there's a strong sign we're far from AGI because we can't automate a hundred percent of the intellectual tasks, but second, many people's jobs are safe because when we automate 20% of someone's job, they can focus on the other 80% and maybe even be more productivity and causes the marginal value of labor and therefore maybe even salaries that go uprooted and down. Actually recently, a couple weeks ago, few weeks ago, released a new course on Coursera “Generative AI for Everyone” where I go deeper into this recipe for finding opportunities, but I'm really excited about working with partners to go find these opportunities and go build to them.Eric Topol (15:15):Yeah, I commend you for that because you have been for your career democratizing the knowledge of AI and this is so important and that new course is just one more example. Everyone could benefit from it. Getting back to your earlier point, just because in the clinician doctor world, the burdensome task of data clerk function of having to be slave to keyboards and entering the visit data and then all the post- visit things. Now, of course, we're seeing synthetic notes and all this can be driven through an automated note that is not involving any keyboard work. And so, just as you say, that comprises maybe 20, 30% of a typical doctor's day, if not more. And the fact is that that change could then bring together the patient and doctor again, which has been a relationship that suffered because of electronic records and all of the data clerk functions. That's just a really, I think, a great example of what you just pointed out. I love “Letters from Andrew” which you publish, which as you mentioned, one of your recent posts was about the generative AI for everyone. And in those you recently addressed loneliness, which is as associated with all sorts of bad health outcomes. And I wonder if you could talk about how AI could help loneliness.Andrew Ng (16:48):So this is a fascinating case study where, so AI fund, we had wanted to do something on AI and relationships, kind of romantic relationships. And I'm an AI guy, I feel like, what do I know about romance? And if you don't believe me, you can ask my wife, she'll confirm I know nothing about romance, but we're privileged to partner with the former CEO of Tinder, Renata Nyborg, who knows about relationships in a very systematic way far more than anyone I know. And so working with her with a deep expertise about relationships, and it turns out she actually knows a lot about AI too. But then my team's knowledge about AI we're able to build something very unique that she launched that she announced called me. Now I've been playing around with it on my phone and it's actually interesting, remarkably good. I think relationship mentor, frankly, I wish I had Meeno back when I was single instead, I've asked my dumb questions to, and I'm excited that maybe AI, I feel like tech maybe has contributed to loneliness. I know the data is mixed, that social media contributes to social isolation. I know that different opinions are different types of data, but this is one case where hopefully AI can clearly not be the problem, but be part of the solution to help people gain the skills to build better relationships.Eric Topol (18:17):Yeah, now, it's really interesting here again, the counterintuitive idea that technology could enhance human bonds, which are all too short that we want to enhance. Of course, you've had an incredible multi-dimensional career. We talked a little bit about your role in education with the founding of the massive online courses (MOOCs), but also with Baidu and Google. And then of course at Stanford you've seen the academic side, you've seen the leading tech titan side, the entrepreneurial side with the various ventures of trying to get behind companies that have promised you have the whole package of experience and portfolio. How do you use that now going forward? You're still so young and the field is so exciting. Where do you try to just cover all the bases or do you see yourself changing gears in some way? You haven't had a foot in every aspect?Andrew Ng (19:28):Oh, I really like what I do. I think these days I spend a lot of time at AI fund builds new companies using AI and deep learning.ai is an educational arm. And one of the companies that AI fund has helped incubate does computer vision work than AI. We actually have a lot of healthcare users as well using, I feel like with the recent advances in AI at the technology layer, things like large language models, I feel like a lot of the work that lies ahead of the entire field is to build applications on top of that. In fact, a lot of the media buzz has been on the technology layer, and this happens every time this technology change. When the iPhone came out, when we shifted the cloud, it's interesting for the media to talk about the technology, but it turns out the only way for the technology suppliers to be successful is if the application builders are even more successful.(20:26):They've got to generate enough revenue to pay the technology suppliers. So I've been spending a lot of my time thinking about the application layer and how to help either myself or support others to build more applications. And the annoying and exciting thing about AI is as a general purpose technology, there's just so much to do, there's so many applications to build. It's kind of like what is electricity good for? Or what is the cloud good for? It's just so many different things. So it is going to take us, frankly, longer than we wish, but it will be exciting and meaningful work to go to all the corners of healthcare and all the corners of education and finance and industrial and go find these applications and go help them.Eric Topol (21:14):Well, I mean you have such a broad and diverse experience and you predicted much of this. I mean, you knew somehow or other that when the graphic processing unit (GPU) would go from a very low number to tens of thousands of them, what might happen. And you were there, I think, before and perhaps anyone else. One of the things of course that this whole field now gets us to is potential tech dominance. And by what I mean there is that you've got a limited number of companies like Microsoft and Google and Meta and maybe Inflection AI and a few others that have capabilities of 30,000, 40,000, whatever number of GPUs. And then you have academic centers like your adjunct appointment at Stanford, which maybe has a few hundred or here at Scripps Research that has 150. And so we don't have the computing power to do base models and what can we do? How do you see the struggle between the entities that have what appears to be almost, if you will, if it's not unlimited, it's massive computing power versus academics that want to advance the field. They have different interests of course, but they don't have that power base. Where is this headed?Andrew Ng (22:46):Yeah, so I think the biggest danger to that concentration is regulatory capture. So I've been quite alarmed over moves that various entities, some companies, but also governments here in the US and in Europe, especially US and Europe, less than other places have been contemplating regulations that I think places a very high regulatory compliance burden that big tech companies have the capacity to satisfy, but that smaller players will not have the capacity to satisfy. And in particular, the definitely companies would rather not have the computer open source. When you take a smaller size, say 7 billion parameters model and fine tune it for specific to, it works remarkably well for many specific tasks. So for a lot of applications, you don't need a giant model. And actually I routinely run a seven or 13 billion parameters model on my laptop, more inference than fine tuning. But it's within the realm of what a lot of players can do.(23:51):But if inconvenient laws are passed, and they've certainly been proposed in Europe under the EU AI Act and also the White House Executive Order, if I think we've taken some dangerous steps to what putting in place very burdensome compliance requirements that would make it very difficult for small startups and potentially very difficult for less smaller organizations to even release open source software. Open source software has been one of the most important building blocks for everyone in tech. I mean, if you use a computer or a smartphone that because open, that's built on top of open source software, TCP, IP, internet, just how the internet works, law of that is built on top of open source software. So regulations that pamper people just wanting to release open source, that would be very destructive for innovation.Eric Topol (24:48):Right? In keeping with what we've been talking about with the doomsday prophecies and the regulations and things that would slow up things, the whole progress in the field, which we are obviously in touch with both sides and the tension there, but overregulation, the potential hazards of that are not perhaps adequately emphasized. And another one of your letters (Letters from Andrew), which you just got to there, was about AI at the edge and the fact that we can move towards, in contrast to the centralized computing power at a limited number of entities as you, I think just we're getting at, there's increasing potential for being able to do things on a phone or a laptop. Can you comment about that?Andrew Ng (25:43):Yeah, I feel like I'm going against many trends. It sounds like I'm off in a very weird direction, but I'm bullish about AI at the edge. I feel like if I want to do grammar checking using a large language model, why do I need to send all my data to a cloud provider when a small language model can do it just fine on my laptop? Or one of my collaborators at Stanford was training a large language model in order to do electronic health records. And so at Stanford, this actually worked done by one of the PhD students I've been working with. But so Yseem wound up fine tuning a large language model at Stanford so that he could run inference over there and not have to ship EHR and not have to ship private medical records to a cloud provider. And so I think that was an important thing to, and if open source were shut down, I think someone like Yseem would have had a much harder time doing this type of work.Eric Topol (27:04):I totally follow you the point there. Now, the last thing I wanted to get to was a multimodal AI in healthcare. When we spoke 5 years ago, when I was working on the Deep Medicine book, multimodal AI wasn't really possible. And the idea was that someday we'll have the models to do it. The idea here is that each of us has all these layers of data, our various electronic health records, our genome, our gut microbiome, our sensors and environmental data, social determinants of health, our immunome, it just goes on and on. And there's also the corpus of medical knowledge. So right now, no one has really done multimodal. They've done bimodal AI in healthcare where they take the electronic health records and the genome, or usually it's electronic health records and the scan, medical scan. No one has done more than a couple layers yet.(28:07):And the question I have is, it seems like that's imminently going to be accomplished. And then let's then get to will there be a virtual health coach? So unlike these virtual coaches like Woebot and the diabetes coaches and the hypertension coaches, will we ultimately have with multimodal AI, your forecast on that, the ability to have feedback to any given individual to promote their health, to prevent conditions that they might be at risk for having later in life or help managing all their conditions that they actually have already been declared. What's your sense about where we are with multimodal AI?Andrew Ng (28:56):I think there's a lot of work to be done still at unimodal, a lot of work to be done in text. LLM AI does a lot of work on images, and maybe not to talk about Chang's work all the time, but just this morning, I was just earlier, I was chatting with him about he's trying to train a large transformer on some time series other than text or images. And then semi collaborative, Stanford, Jeremy Irvin, Jose kind of poking at the corners of this. But I think a lot of people feel appropriately that there's a lot of work to be done still in unimodal. So I'm cheering that on. But then there's also a lot of work to be done in multimodal, and I see work beyond text and images, maybe genome, maybe some of the time series things, maybe some the HR specific things, which maybe is kind of textbook kind of not, I think it was just about a year ago that check GP was announced. So who knows? Just one more year of progress, who knows where it will be.Eric Topol (29:55):Yeah. Well, we know there will be continued progress, that's for sure. And hopefully as we've been discussing, there won't be significant obstacles for that. And hopefully there will be a truce between the two camps of the doomerism and optimism or somehow we're meet in the middle. But Andrew, it's been a delight to get your views on all this. I don't know how the OpenAI affair will settle out, but it does seem to be representative of the times we live in because at the same TED AI that you and I spoke at Ilya, spoke about AGI and that was followed onlhy a matter by days by Sam Altman talking about AGI and how OpenAI was approaching AGI capabilities. And it seems like this is, even though as you said, that there's a lot of different definition for AGI, the progress that's being made right now is extraordinary.(30:57):And grappling with the idea that there are certain tasks, at least certain understandings, certain intelligence that may be superhuman via machines is more than provocative. And I know you are asked to comment about this all the time, and it's great because in many respects, you're an expert, neutral observer. You're not in one of these companies that's trying to assert that they have sparks of AGI or actual AGI or whatever. So in closing, I think we look to you as , not just an expert, but one who has had such broad experience in this field and who has predicted so much of its progress and warned of the reasons that we would not continue to make that type of extraordinary progress. So I want to thank you for that. I'll keep reading Letters from Andrew. I hope everybody does, as many people as possible, should attend your “Generative AI for Everyone” course. And thank you for what you've done for the field, Andrew, we're all indebted to you.Andrew Ng (32:17):Thank you, Eric. You're always so gracious. It's always such a pleasure to see you and collaborate with you.Thanks for listening and reading Ground Truths. Please share this podcast if you found it informative. Get full access to Ground Truths at erictopol.substack.com/subscribe

Will the COVID-19 pandemic be remembered as a turning point in how universities deliver teaching and learning? How might the widespread use of digital tools change higher education? Leveling the Learning Curve: Creating a More Inclusive and Connected University (Columbia UP, 2023) explores the role of digital education at this crucial crossroads. Built on interviews with more than fifty leading practitioners from major universities and ed-tech firms, Leveling the Learning Curve is an indispensable guide to the inner workings of digital education. Written for university managers and leaders, it explores how new tools can allow universities to reach new audiences and address long-standing imbalances. The authors examine challenges to implementing digital education programs and provide insight into how universities have managed to balance the needs of faculty and on- and off-campus students. The book traces the history of digital education initiatives from Khan Academy, TED Talks, and MOOCs through the pandemic, examining both successes and failures. It offers compelling examples of what a "connected university" looks like in practice, sharing ways digital tools can bring in wider audiences, expand interdisciplinary teaching and learning, connect students to real-life issues, help meet equity goals, and open new revenue streams. Designed as both a manual and an in-depth study, Leveling the Learning Curve is required reading for educational leaders looking to navigate the complex waters of postpandemic digital education. Learn more about your ad choices. Visit podcastchoices.com/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Will the COVID-19 pandemic be remembered as a turning point in how universities deliver teaching and learning? How might the widespread use of digital tools change higher education? Leveling the Learning Curve: Creating a More Inclusive and Connected University (Columbia UP, 2023) explores the role of digital education at this crucial crossroads. Built on interviews with more than fifty leading practitioners from major universities and ed-tech firms, Leveling the Learning Curve is an indispensable guide to the inner workings of digital education. Written for university managers and leaders, it explores how new tools can allow universities to reach new audiences and address long-standing imbalances. The authors examine challenges to implementing digital education programs and provide insight into how universities have managed to balance the needs of faculty and on- and off-campus students. The book traces the history of digital education initiatives from Khan Academy, TED Talks, and MOOCs through the pandemic, examining both successes and failures. It offers compelling examples of what a "connected university" looks like in practice, sharing ways digital tools can bring in wider audiences, expand interdisciplinary teaching and learning, connect students to real-life issues, help meet equity goals, and open new revenue streams. Designed as both a manual and an in-depth study, Leveling the Learning Curve is required reading for educational leaders looking to navigate the complex waters of postpandemic digital education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/education

Will the COVID-19 pandemic be remembered as a turning point in how universities deliver teaching and learning? How might the widespread use of digital tools change higher education? Leveling the Learning Curve: Creating a More Inclusive and Connected University (Columbia UP, 2023) explores the role of digital education at this crucial crossroads. Built on interviews with more than fifty leading practitioners from major universities and ed-tech firms, Leveling the Learning Curve is an indispensable guide to the inner workings of digital education. Written for university managers and leaders, it explores how new tools can allow universities to reach new audiences and address long-standing imbalances. The authors examine challenges to implementing digital education programs and provide insight into how universities have managed to balance the needs of faculty and on- and off-campus students. The book traces the history of digital education initiatives from Khan Academy, TED Talks, and MOOCs through the pandemic, examining both successes and failures. It offers compelling examples of what a "connected university" looks like in practice, sharing ways digital tools can bring in wider audiences, expand interdisciplinary teaching and learning, connect students to real-life issues, help meet equity goals, and open new revenue streams. Designed as both a manual and an in-depth study, Leveling the Learning Curve is required reading for educational leaders looking to navigate the complex waters of postpandemic digital education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

Will the COVID-19 pandemic be remembered as a turning point in how universities deliver teaching and learning? How might the widespread use of digital tools change higher education? Leveling the Learning Curve: Creating a More Inclusive and Connected University (Columbia UP, 2023) explores the role of digital education at this crucial crossroads. Built on interviews with more than fifty leading practitioners from major universities and ed-tech firms, Leveling the Learning Curve is an indispensable guide to the inner workings of digital education. Written for university managers and leaders, it explores how new tools can allow universities to reach new audiences and address long-standing imbalances. The authors examine challenges to implementing digital education programs and provide insight into how universities have managed to balance the needs of faculty and on- and off-campus students. The book traces the history of digital education initiatives from Khan Academy, TED Talks, and MOOCs through the pandemic, examining both successes and failures. It offers compelling examples of what a "connected university" looks like in practice, sharing ways digital tools can bring in wider audiences, expand interdisciplinary teaching and learning, connect students to real-life issues, help meet equity goals, and open new revenue streams. Designed as both a manual and an in-depth study, Leveling the Learning Curve is required reading for educational leaders looking to navigate the complex waters of postpandemic digital education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Will the COVID-19 pandemic be remembered as a turning point in how universities deliver teaching and learning? How might the widespread use of digital tools change higher education? Leveling the Learning Curve: Creating a More Inclusive and Connected University (Columbia UP, 2023) explores the role of digital education at this crucial crossroads. Built on interviews with more than fifty leading practitioners from major universities and ed-tech firms, Leveling the Learning Curve is an indispensable guide to the inner workings of digital education. Written for university managers and leaders, it explores how new tools can allow universities to reach new audiences and address long-standing imbalances. The authors examine challenges to implementing digital education programs and provide insight into how universities have managed to balance the needs of faculty and on- and off-campus students. The book traces the history of digital education initiatives from Khan Academy, TED Talks, and MOOCs through the pandemic, examining both successes and failures. It offers compelling examples of what a "connected university" looks like in practice, sharing ways digital tools can bring in wider audiences, expand interdisciplinary teaching and learning, connect students to real-life issues, help meet equity goals, and open new revenue streams. Designed as both a manual and an in-depth study, Leveling the Learning Curve is required reading for educational leaders looking to navigate the complex waters of postpandemic digital education. Learn more about your ad choices. Visit megaphone.fm/adchoices

Brought to you by Jira Product Discovery—Atlassian's new prioritization and roadmapping tool built for product teams | Coda—Meet the evolution of docs | Wix Studio—The web creation platform built for agencies—Brian Balfour is the founder and CEO of Reforge. Prior to Reforge, he was the VP of Growth at HubSpot and co-founded three other startups. In today's episode, Brian shares 10 lessons from his career, growth, and life:• Lesson 1: Inspect the work, not the person.• Lesson 2: Tell me what it takes to win; then tell me the cost.• Lesson 3: Problems never end (and that's okay).• Lesson 4: The year is made in the first six months.• Lesson 5: Growth is a system between acquisition, retention, and monetization. Change one and you affect them all.• Lesson 6: Do the opposite.• Lesson 7: Use cases, not personas.• Lesson 8: Solving for everyone is solving for no one.• Lesson 9: Find sparring partners, not mentors or coaches.• Lesson 10: 2x+ the activation energy for things that need to change.—Find the full transcript at: https://www.lennyspodcast.com/brian-balfour-10-lessons-on-career-growth-and-life/—Where to find Brian Balfour:• X: https://twitter.com/bbalfour• LinkedIn: https://www.linkedin.com/in/bbalfour/• Website: https://brianbalfour.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Brian's background(04:29) His Notion doc of lessons(07:35) Lesson 1: Inspect the work, not the person(12:39) Implementing lesson 1 and a recap of Reforge Artifacts(16:01) Lesson 2: Tell me what it takes to win; then tell me the cost(18:17) Why you should revisit your ideal end state often(20:25) How planning works at Reforge(23:50) Lesson 3: Problems never end (and that's okay)(26:31) The “players, coaches, captains” framework(30:24) How AI will allow for smaller teams(34:13) Small teams do bigger things(34:37) Lesson 4: The year is made in the first six months(38:20) Lesson 5: Growth is a system between acquisition, retention, and monetization (40:44) Examples of engagement and retention problems from HubSpot and Reforge(46:21) Lesson 6: Do the opposite (55:25) Brian's thoughts on category creation(57:39) Lesson 7: Use cases, not personas(1:01:18) The use case map(1:03:38) Lesson 8: Solving for everyone is solving for no one (1:11:14) There are many ways to do product(1:16:52) Lesson 9: Find sparring partners, not mentors or coaches(1:23:49) Advice on setting the tone for group sharing(1:25:07) Lesson 10: You need to give 2x the activation energy for things that need to change(1:32:02) Lightning round—Referenced:• Reforge: https://www.reforge.com/• Frank Slootman on LinkedIn: https://www.linkedin.com/in/frankslootman/• Artifacts: https://artifacts.reforge.com/artifacts• Ray Dalio's 5 Step Process: https://commoncog.com/dalios-5-step-process-to-getting-what-you-want/• Building effective teams: https://www.reforge.com/blog/building-effective-teams• Scott Belsky's website: https://www.scottbelsky.com/• MOOCs: https://en.wikipedia.org/wiki/Massive_open_online_course• The Creative Act: A Way of Being: https://www.amazon.com/Creative-Act-Way-Being/dp/0593652886/• A Breakdown of LinkedIn's AI Assisted Growth Loop: https://brianbalfour.com/essays/a-breakdown-of-linkedins-ai-assisted-growth-loop• Lex Fridman Podcast: https://lexfridman.com/podcast/• Acquired podcast: https://www.acquired.fm/• Unsolicited Feedback podcast: https://www.reforge.com/podcast/unsolicited-feedback• Elena Verna Analyzes Airtable's Shift to Enterprise and Slack's Product Roadmap: https://www.reforge.com/podcast/unsolicited-feedback/episode-5• The ultimate guide to product-led sales | Elena Verna: https://www.lennyspodcast.com/the-ultimate-guide-to-product-led-sales-elena-verna/• How to become a category pirate | Christopher Lochhead (author of Play Bigger, Niche Down, Category Pirates, more): https://www.lennyspodcast.com/how-to-become-a-category-pirate-christopher-lochhead-author-of-play-bigger-niche-down-category/• Dharmesh Shah on LinkedIn: https://www.linkedin.com/in/dharmesh/• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennyspodcast.com/the-ultimate-guide-to-jtbd-bob-moesta-co-creator-of-the-framework/• How to sell your ideas and rise within your company | Casey Winters, Eventbrite: https://www.lennyspodcast.com/how-to-sell-your-ideas-and-rise-within-your-company-casey-winters-eventbrite/• Target the Right Market: https://hbr.org/2012/10/target-the-right-market-2• Douglas Atkin on LinkedIn: https://www.linkedin.com/in/doatkin• How Linear builds product: https://www.lennysnewsletter.com/p/how-linear-builds-product• How Notion builds product: https://www.lennysnewsletter.com/p/how-notion-builds-product• Aaron White on LinkedIn: https://www.linkedin.com/in/aaronmwhite/• Ariel Diaz on LinkedIn: https://www.linkedin.com/in/arieldiaz/• Ray Dalio's website: https://www.principles.com/• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296• The Wolf of Wall Street on Netflix: https://www.netflix.com/title/70266676• Margin Call on Prime Video: https://www.amazon.com/Margin-Call-Kevin-Spacey/dp/B005UT29Z0• The Big Short on Netflix: https://www.netflix.com/title/80075560• The Bear on Hulu: https://www.hulu.com/series/the-bear-05eb6a8e-90ed-4947-8c0b-e6536cbddd5f• Halt and Catch Fire on Prime Video: https://www.amazon.com/Halt-Catch-Fire-Season-1/dp/B00KCXIHJG• Vuori: https://vuoriclothing.com/• The man in the arena: https://www.theodorerooseveltcenter.org/Learn-About-TR/TR-Encyclopedia/Culture-and-Society/Man-in-the-Arena.aspx• Startup Dads podcast: https://podcasts.apple.com/us/podcast/startup-dad/id1693312339—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

دکتر ریتا مجتهدزادهپزشک، دکترای برنامه‌ریزی آموزش از راه دور،دانشیار گروه یادگیری الکترونیکی در علوم پزشکی، دانشکده پزشکی، دانشگاه علوم پزشکی تهران دکتر ریتا مجتهدزاده تحصیلات پزشکی خود را در دانشگاه علوم پزشکی تهران کسب کردند و پس از فراغت از تحصیل در همان دانشگاه مشغول بهتحصیل کارشناسی ارشد سلامت عمومی (MPH) شدند. پس از آن باعلاقه‌ای که به آموزش و تکنولوژی داشتند، دکترای خود را در ربرنامه‌ریزی آموزش از راه دور ادامه دادند.ریتا مجتهدزاده از پیشگامان یادگیری الکترونیکی در دانشگاه علوم پزشکی تهران و کشور بوده و مجری اصلی پروژه‌های ملی متعدد آموزش مجازی ازجمله پروژه پیاده‌سازی سامانه ملی موکس (MOOCs) و سیستم مدیریت یادگیری نوید، بوده اند.دکتر مجتهدزاده از کودکی رویای استادی در دانشگاه علوم پزشکی تهران راداشتند و با دنبال کردن علاقه خود به حوزه آموزش و تکنولوژی، به این آرزودست یافتند. در سالهایی که دکتر مجتهدزاده وارد حوزه آموزش مجازیشدند کمتر کسی فکر می‌کرد که یادگیری از راه دور انقدر فراگیر شود وایشان با پشتکار و تلاشی مثال زدنی مسیر خود را در این حوزه باز کردند.مسیر شغلی و انتخاب‌های دکتر مجتهدزاده فقط در مورد فرصت‌ها وموفقیت‌های علمی و اجرایی و شغلی نیست و بخش بزرگی از انتخاب‌هایایشان به تعادل زندگی و کار مربوط می‌شود. ریتا مجتهدزاده مادر و همسریاست که در کنار بلندپروازی حرفه‌‌ای خانواده را در اولویت قرار داده و بهانتخاب‌های خود را براساس این ارزش‌ها انجام داده است. Hosted on Acast. See acast.com/privacy for more information.

In the style of Carl Sagan, we share the cosmic view, Of the future of online education and AI, where the universe is our cue. Picture a universe expanding, MOOCs like galaxies in the night, Personalized learning, blended learning models, VR and AR – an awe-inspiring sight. Microlearning's wisdom, like stardust in cosmic breeze, Tiny particles of knowledge, carried on celestial seas. Lifelong learning, a pulsar's continuous beat, A rhythm of growth and change, a veritable lifelong feat. Sprinkle in a movie quote or three, with words of wisdom to delight, you'll see: – “What we learn with pleasure, we never forget.” [Remember the Titans, 2000] – “The important thing is not to stop questioning. Curiosity has its own reason for existing.” [Good Will Hunting, 1997] – “You can't put a price on a good education.” [School of Rock. 2003] So together, let us journey through this cosmic scope, With Mary Nunaley, Dr. Anne H. DeClouette, Murray Johannsen, and Julie Ryan, we'll explore with great hope. Welcome to The Future of Online Education and AI: Teach Me Tonight? – Part 2.

In the style of Carl Sagan, we share the cosmic view, Of the future of online education and AI, where the universe is our cue. Picture a universe expanding, MOOCs like galaxies in the night, Personalized learning, blended learning models, VR and AR – an awe-inspiring sight. Microlearning's wisdom, like stardust in cosmic breeze, Tiny particles of knowledge, carried on celestial seas. Lifelong learning, a pulsar's continuous beat, A rhythm of growth and change, a veritable lifelong feat. Sprinkle in a movie quote or three, with words of wisdom to delight, you'll see: – “What we learn with pleasure, we never forget.” [Remember the Titans, 2000] – “The important thing is not to stop questioning. Curiosity has its own reason for existing.” [Good Will Hunting, 1997] – “You can't put a price on a good education.” [School of Rock. 2003] So together, let us journey through this cosmic scope, With Mary Nunaley, Dr. Anne H. DeClouette, Murray Johannsen, and Julie Ryan, we'll explore with great hope. Welcome to The Future of Online Education and AI: Teach Me Tonight? – Part 2.

In the style of Carl Sagan, we share the cosmic view, Of the future of online education and AI, where the universe is our cue. Picture a universe expanding, MOOCs like galaxies in the night, Personalized learning, blended learning models, VR and AR – an awe-inspiring sight. Microlearning's wisdom, like stardust in cosmic breeze, Tiny particles of knowledge, carried on celestial seas. Lifelong learning, a pulsar's continuous beat, A rhythm of growth and change, a veritable lifelong feat. Sprinkle in a movie quote or three, with words of wisdom to delight, you'll see: – “What we learn with pleasure, we never forget.” [Remember the Titans, 2000] – “The important thing is not to stop questioning. Curiosity has its own reason for existing.” [Good Will Hunting, 1997] – “You can't put a price on a good education.” [School of Rock. 2003] So together, let us journey through this cosmic scope, With Mary Nunaley, Dr. Anne H. DeClouette, Murray Johannsen, and Julie Ryan, we'll explore with great hope. Welcome to The Future of Online Education and AI: Teach Me Tonight? – Part 2.

Nahuel Lema es Co-Fundador y CTO de Coderhouse una aplicación web que ofrece cursos en línea en vivo sobre programación, diseño, datos, marketing en línea y más. Sus cursos son casi tan asequibles como los Moocs en línea ($ 40 al mes) y tan efectivos como los Bootcamps. En este episodio platicamos sobre la inteligencia artificial y la aceleración en el rubro educativa, así como la importancia de seguir actualizandonos y vivir una vida de constante aprendizaje. Dentro de la charla mencionamos algunos recursos y sitios webs que deberías consultar: https://www.superpowerdaily.com/ https://www.therundown.ai/ https://newsletter.theresanaiforthat.com/ https://startups.beehiiv.com/ Definitivamente el sitio web que más me voló la mente es este: https://genai.works/ donde puedes descubrir tu nueva aplicación de inteligencia artificial para resolver alguna tarea de tu día a día. Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's episode, Arlene shares 10 practical tips to enjoy your work or any other area of your life more. Whether you have something that causes you frustration or stress in your job or your personal life, these tips are here to help you navigate the difficulties and turn them into bliss. Listen in and learn what the stats say about people using their vacation time (you'll be surprised!), what to do to positively impact your mental health, why investing in yourself is so crucial, and more. So, what is one area of your life that you want to enjoy more and what are you going to do to change that? Connect with Arlene and let her know! This episode is linked to chapter 3 - "Looking Forward" - of Arlene's book. Get your copy here! In this episode, we cover: -Practicing gratitude to boost happiness. -The importance of finding a spiritual practice. -Why focusing on the hard things first will lead to less stress. -Learning new skills with MOOCs. Connect with Arlene:-Follow her on Instagram @arlene_pace_green.-Visit her website at www.arlenepacegreen.com -Enjoying what you hear? Follow and leave a review HERE. Resources and links mentioned in this episode:-Arlene's book, You Deserve To Love Your Job is now available in paperback and Kindle. Get your copy here!-Join the Crew -Arlene's private email group and get a checklist to get your LinkedIn profile in top shape and the first chapter of her book.-Subscribe to Arlene's YouTube channel here!-Check out the merch here! Don't forget to tune into episode 27 where Arlene and her husband, Kelvin W. Green talk about the positive effects hobbies can have on our lives as well as how to start one. Find the episode here.

Tom Adams is The Chair and CoFounder of Pedago Studios and the President and CoFounder of Quantic Business School. He's also the former CEO of Rosetta Stone. He joins host Mike Palmer in a conversation about the strategic approach he and team are taking in building new learning programs informed by the impending revolution in interactive learning. We hear how Tom got his start in the early days of EdTech, successfully taking Rosetta Stone public as CEO. From there, we learn what drew him into the new initiative that is driving the work at Quantic and beyond. Tom paints a vision of what truly interactive learning products are, with the learner responding to novel stimuli on average every 8 seconds. This contrasts much of the video-based content that is prevalent in the MOOCs and elsewhere. Tom shares why Pedago focused on business education and technology as we zero in on who Quantico's target market is. We also get a sense of how interactive content powered by the emerging capabilities of AI may transform educational experiences for years to come. Don't miss this visionary exploration of business education and the emerging category of interactive learning with an industry leader with a proven track record in the field. Subscribe to Trending in Education wherever you get your podcasts. Visit us at TrendinginEd.com for more sharp takes on the future of education.

According to teachfloor.com, In the near future, AI systems can disrupt online education, providing everyone, regardless of age, race, and background, with the opportunity to access knowledge and learn online. AI can help education become smarter, faster, and cheaper. It is already happening, and we can expect it to grow exponentially…. We queried ChatGPT: “Please tell me about the future of online instruction and AI.” Response: * Expansion of MOOCs to deliver high-quality educational content to a large number of learners across the globe…typically free or low-cost for anyone with an internet connection. * Personalized Learning and Adaptive Learning Technologies to adjust the learning experience and provide real-time feedback to learners and teachers. * Blended Learning Models combining online education with face-to-face instruction. * VR and AR to explore virtual environments, simulations, and remote collaboration. * Microlearning and Bite-sized Content via videos, quizzes, interactive modules. * Lifelong Learning and Continuous Upskilling for professional development. And we asked ChatGPT: “Please send fictional movie quotes about Education.” Response: * “What we learn with pleasure, we never forget.” [Remember the Titans, 2000 film] * “With the Internet, we can continue our education every single day, in every conceivable way.” [Avengers: Age of Ultron, 2015 film] We'll ask Mary Nunaley, Murray Johannsen, Julie Ryan, and Dr. Anne H. DeClouette for their take on The Future of Online Education and AI: Teach Me Tonight?

According to teachfloor.com, In the near future, AI systems can disrupt online education, providing everyone, regardless of age, race, and background, with the opportunity to access knowledge and learn online. AI can help education become smarter, faster, and cheaper. It is already happening, and we can expect it to grow exponentially…. We queried ChatGPT: “Please tell me about the future of online instruction and AI.” Response: * Expansion of MOOCs to deliver high-quality educational content to a large number of learners across the globe…typically free or low-cost for anyone with an internet connection. * Personalized Learning and Adaptive Learning Technologies to adjust the learning experience and provide real-time feedback to learners and teachers. * Blended Learning Models combining online education with face-to-face instruction. * VR and AR to explore virtual environments, simulations, and remote collaboration. * Microlearning and Bite-sized Content via videos, quizzes, interactive modules. * Lifelong Learning and Continuous Upskilling for professional development. And we asked ChatGPT: “Please send fictional movie quotes about Education.” Response: * “What we learn with pleasure, we never forget.” [Remember the Titans, 2000 film] * “With the Internet, we can continue our education every single day, in every conceivable way.” [Avengers: Age of Ultron, 2015 film] We'll ask Mary Nunaley, Murray Johannsen, Julie Ryan, and Dr. Anne H. DeClouette for their take on The Future of Online Education and AI: Teach Me Tonight?

According to teachfloor.com, In the near future, AI systems can disrupt online education, providing everyone, regardless of age, race, and background, with the opportunity to access knowledge and learn online. AI can help education become smarter, faster, and cheaper. It is already happening, and we can expect it to grow exponentially…. We queried ChatGPT: “Please tell me about the future of online instruction and AI.” Response: * Expansion of MOOCs to deliver high-quality educational content to a large number of learners across the globe…typically free or low-cost for anyone with an internet connection. * Personalized Learning and Adaptive Learning Technologies to adjust the learning experience and provide real-time feedback to learners and teachers. * Blended Learning Models combining online education with face-to-face instruction. * VR and AR to explore virtual environments, simulations, and remote collaboration. * Microlearning and Bite-sized Content via videos, quizzes, interactive modules. * Lifelong Learning and Continuous Upskilling for professional development. And we asked ChatGPT: “Please send fictional movie quotes about Education.” Response: * “What we learn with pleasure, we never forget.” [Remember the Titans, 2000 film] * “With the Internet, we can continue our education every single day, in every conceivable way.” [Avengers: Age of Ultron, 2015 film] We'll ask Mary Nunaley, Murray Johannsen, Julie Ryan, and Dr. Anne H. DeClouette for their take on The Future of Online Education and AI: Teach Me Tonight?

Este episodio 154 invitamos a Nahuel Lema, un emprendedor argentino que es Cofundador y Staff Engineer de Coderhouse.  Nahuel, junto con sus cofundadores Christian Patiño y Pablo Ferreiro, entró a Coderhouse en 2014, una exitosa plataforma de educación en línea que ofrece cursos en vivo sobre programación, diseño, datos, marketing y más. Desde entonces, la plataforma ha experimentado un crecimiento fenomenal.  Con su enfoque único en cursos asequibles y efectivos, Coderhouse ha logrado captar la atención de inversores destacados, como Y Combinator, David Vélez, Guillermo Rauch y Hugo Barra. Nahuel y su equipo han logrado combinar la accesibilidad de los MOOCs en línea con la efectividad de los bootcamps, obteniendo una alta tasa de finalización de cursos de más del 90%. Además de su trabajo en Coderhouse, Nahuel también se destaca como mentor de emprendedores en Growth Rockstars de Dylan Rosemberg, compartiendo su experiencia y conocimientos con la próxima generación de líderes empresariales. ¡Nahuel y Coderhouse están ofreciendo 10% en todos sus cursos para todos nuestros oyentes! Beneficio: 10% OFF adicional sobre Plan CoderBeca en todos los cursos y carreras. Código: THENETWORKCODER T&C: Válido desde el 30/05/2023 hasta el 31/12/2023 23:59 inclusive. Acumulable con otras promociones. Válido para todas las carreras y/o cursos brindados por CODERHOUSE, excepto Servicios de Desarrollo Profesional, Membresías y Masters. La promoción consiste en una bonificación del 10% sobre el precio de la CoderBeca. El código de descuento puede usarse ilimitadamente, pero sólo una vez por carrera y/o curso. Válido en Latinoamérica. Gracias a nuestros sponsors: xtrim: ¡El nombre de tu empresa en la camiseta de los árbitros! Participa en www.SponsorConectado.com Pardux: Expandir tu negocio por Latinoamérica nunca fue tan fácil. https://www.pardux.com/ Farmacéutica La Santé: Tu Generico, Tu Vida. ⁠www.lasanteecuador.com⁠ Anubis Crypto: Aprende a invertir en criptomonedas con Anubis Academy. ⁠https://www.grupoanubis.com/⁠ Facturero Movil: Con Facturero Móvil podrás crear documentos electrónicos autorizados por el SRI, sin contratos y desde 10 dólares. ⁠www.factureromovil.com

Sean and Punya welcome special guests Dr. Scotty Craig (ASU) and Dr. Ryan Baker (Penn) to discuss rapidly evolving field of Artificial Intelligence (AI), machine learning, and what implications it may have for educationGuest InformationDr. Scotty CraigIs an associate professor of human systems engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Craig is a learning engineer and has investigated research areas of emotion and learning, multimedia learning, and intelligent tutoring systems (ITS)in both laboratory and applied classroom settings. Scotty is also a fellow member of our own AI in Education Learning Futures Collaborative here at ASU.Dr. Ryan BakerIs a professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics.Dr. Baker researches how students use and learn from educational games, intelligent tutors, and other kinds of educational software. Drawing on the fields of educational data mining, learning analytics, and human–computer interaction, he develops methods for mining the data that come out of the interactions between students and educational software. He then uses this information to improve our understanding of how students respond to educational software, and how these responses influence their learning.Topics discussed:UNESCO publications on Artificial Intelligence in educationMaturity of AI in Education from both a technical perspective and practical / pedagogical perspectiveParsing student behaviors in moocs and other environments, including one that caught our eye, what Dr. Baker called “wtf” behaviorsCalls for future developments of AI to be grounded in a human-centered approachAlgorithmic bias, challenges, pitfalls and opportunitiesHow does a system like ChatGPT from Open AI impact the possible future of online learning and behavior?Big picture idea, What are we gaining and losing in seeing ourselves as essentially streams of data?Resources and Links:-Chiou, E. K., & Lee, J. D. (2021). Trusting automation: Designing for responsivity and resilience. Human factors, 0018720821100999-Penn Center for Learning Analytics-Algorithmic Bias in Education-U Penn Learning Analytics (Online) Master of Science in Education Degree Program MS in Human Systems Engineering with a Concentration in Intelligent Systems at ASUThe Intelligent Systems Concentration provides students with a Master of Science in Human Systems Engineering that prepares them with the skills needed to improve our world by creating innovative technology-based systems that integrate into human environments. Our faculty provide a guided experience with training in theory, development, and evaluation. For more information, check out our website or email  Dr. CraigLink: https://poly.engineering.asu.edu/hse/ms/ The Learning Futures Podcast is jointly produced by Enterprise Technology and the Mary Lou Fulton Teachers College at Arizona State University.

Get the book, Uncommon Sense Teaching: Practical Insights in Brain Science to Help Students Learn Visit Barbara's website, www.barbaraoakley.com Visit Beth's website www.bethrogowsky.com About the Author Barbara Oakley, PhD, is the bestselling author of A Mind for Numbers and a professor of engineering at Oakland University in Rochester, Michigan. Her research involves bioengineering with an emphasis on neuroscience and cognitive psychology. Dr. Oakley is an internationally recognized expert on learning and on creating high-quality online materials for massive open online courses (MOOCs). With Terrence Sejnowski, she teaches one of the world's most popular MOOCs, called Learning How to Learn.   Beth Rogowsky, Ed.D., is a professor of education at Bloomsburg University of Pennsylvania. In addition to completing post-doctoral training in neuroscience, she has fourteen years of experience teaching English language arts to middle-schoolers in rural and urban public schools.

Eric Grimson is MIT's chancellor for academic advancement and interim vice president for Open Learning; he's also a longstanding professor of computer science and medical engineering. In this episode, Prof. Grimson shares his thoughts on in-person and online education. We learn that he rehearses each lecture one, two, or even three times before coming to the classroom, and that he often pauses in his speech when lecturing to avoid distracting his students with “um”s and “ah”s and similar disfluencies. But though some of the techniques he describes might seem to reflect a view of teaching as performance, Grimson firmly believes that education should be a dialogue rather than a monologue—that students should be engaged as partners in the exploration of the material, even in an introductory-level class. “Anybody with enough curiosity ought to be able to explore a field,” he says, “and we ought to be able to teach at a level that opens it up to them.” The same conviction underlies his commitment to sharing his expertise online, whether by publishing his course materials on MIT OpenCourseWare or through purpose-built MOOCs on MITx. [Warning: this episode also includes numerous bad jokes!]     Relevant Resources:MIT OpenCourseWare The OCW Educator Portal 6.0001 Introduction to Computer Science and Programming in Python on OCW 6.0002 Introduction To Computational Thinking And Data Science on OCWProfessor Grimson's faculty page Music in this episode by Blue Dot Sessions  Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We'd love to hear from you! Call us @ 617-715-2517On our siteOn Facebook On Twitter On Instagram  Stay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer  Dave Lishansky, producer Show notes by Peter Chipman

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It's likely that, at some point, you have helped somebody make a change in their life. But while you may have meant well, you might have gone about it the wrong way–approaching the person as someone to be “fixed” instead of inspiring them to learn and create positive change.  Coaching somebody for the sake of compliance more often than not ends up being a band aid solution. Results become temporary to appease an immediate need, but people are likely to return to their old ways if not invested in the change.  Sustainable change happens when we deeply engage somebody with a positive vision of themselves–called by our guest as “Coaching with Compassion.”  Today's guest is Dr. Richard Boyatzis, a professor in the Department of Organizational Behavior, Psychology, and Cognitive Science at Case Western Reserve University. He has written books and numerous articles in the field of neuroscience, coaching, management education, and more, as well as Coursera MOOCs with over one and a half million enrollees. Armed with a PhD in Social Psychology from Harvard and a passion for development, Dr. Boyatzis is dedicated to providing ways to help people change that are leveraged with the latest in neuroscience.  Key Points:  Nurture human capital through motivation and inspiration.  Emotional intelligence is an essential trait in leadership and coaching.  Create sustainable change through encouraging introspection and learning.  Episode Highlights  [00:57] On creating sustainable, positive change in people  [02:26] Dr. Richard Boyatzis  [10:26] Effective leadership and activating the human capital  [17:24] Dr. Boyatzis in Aerospace Engineering and finding his passion in Organizational Psychology  [27:54] Dr. Boyatzis' personal philosophy of shared visions and equal opportunity that applies to his body of work  [34:44] The important role of emotional intelligence in leadership in both having self-awareness and dealing with others' emotions  [41:24] Recovering from the buildup of stress which affects your emotional intelligence  [46:42] On goals sometimes having a negative emotional tractor  [50:01] On choosing jobs based on the characteristics of it and the environment, instead of based on the job itself  [52:03] Intentional Change Theory, applying it into one's life, and creating sustainable change  [1:02:41] Advice for leaders on how they can become better at coaching  [1:06:16] Intentional Change Theory and applying it at the organizational level  [1:08:41] Advice for people who want to become leaders: (1) stay consistent with practicing their personal vision; (2) have conversations about your vision, innovation, etc.;    [1:10:58] Questions to stimulate a dissonant leader   [1:12:31] On finding a medium that inspires you in leadership  Resources Mentioned:  Primal Leadership by Daniel Goleman, RIchard Boyatzis, and Annie McKee  Helping People Change: Coaching with Compassion for Lifelong Learning and Growth by Richard Boyatzis, Melvin Smith, and Ellen Van Oosten  Becoming a Resonant Leader: Develop Your Emotional Intelligence, Renew Your Relationships, Sustain Your Effectiveness by Annie McKee, Richard Boyatzis, Fran Johnson  Richard Boyatzis' MOOCs on Coursera