Podcasts about Learning analytics

Al Stark and special co-host Katrina Lee Koo talk to Hassan Khosravi, an Associate Professor in Data Science and Learning Analytics at UQ. In response to ever bigger class sizes and the need for students to have learning tailored for their individual needs, Hassan decided to build RiPPLE, an app for in-class teaching. They also talk about other useful apps and tech that helps student learning in big or small classes.

We caught up with our head of analytics, James Hodgkin, at the launch of learning analytics. James talks about the new features available, the importance of people at the heart of data and future plans for the updated platform including student wellbeing. Show notes Watch the live recording Learn more about the learning analytics platform Read our blog on the future of learning analytics: make data your organisation's priority Listen to our tech takes podcast, delivering learning analytics fit for the future Read the Office for Students (OfS) mental health analytics project - an evaluation Subscribe to Headlines - our newsletter which has all the latest edtech news, guidance and events tailored to you

We have another exciting episode of HR Insights: The Podcast. This week, Stuart Elliott is joined by HR Consulting Director and Thought Leader at EDLIGO, Reimund Nienaber to discuss his role of leveraging talent analytics to enhance employee satisfaction and business outcomes. He explains how EDLIGO supports companies in their digital transformation journey and the importance of understanding data to personalise career development paths.In this episode, Stuart and Reimund begin the conversation by talking through his career and role at EDLIGO as well as the benefits of talent analytics. He emphasises the importance of starting small with data, and allowing EDLIGO's AI driven competency frameworks to fill in the gaps, thus enhancing personalised career development paths and creating a positive impact on overall job satisfaction. The conversation then moves on to the role of talent analytics in fostering a more inclusive workplace, free of bias and ensuring equal opportunities for career advancement. Reimund expresses the concerns and scepticisms employees may have regarding the use of talent analytics and how organisations can address these to build transparency and trust.Reimund Nienaber is passionate about Talent Development, Talent Analytics, and Learning Analytics. He is a seasoned HR leader with extensive global experience and a strong track record of driving innovation. With over 20 years of expertise in human resources and 15 years in technical and managerial roles within the telecommunications industry, he excels as a trusted senior management advisor and coach. He holds a Master Professional (CCI) in Business Management (IHK) and is a Certified Business Economist (DeLSt). His focus is on continuously improving people and processes through game-changing strategic initiatives, enabling businesses to thrive in rapidly changing environments.Key Timestamps: 03:02 - Intro into Reimund 04:58 – Reimund's role within EDLIGO08:28 – How talent analytics can be used to personalise career development paths for employees and improve employee satisfaction12:17 - Leveraging AI to create reliable competency frameworks 21:11 – How a manager can use talent analytics to identify skills gaps in their team26:00 - The difference between ‘future skills' and ‘competency'29:35 – The role of talent analytics in helping us create more inclusive environments38:00 – Changing the sceptics' minds on data-driven research41:04 – How to use data to enhance your own performance and career growth You can listen to and download HR Insights from Apple Podcasts, Google Podcasts, Spotify and other popular podcast apps. Please subscribe so the latest episodes are directly available! You can also join our HR Community and follow us on LinkedIn and Instagram. Thank you for listening and please do review and rate us wherever you listen!

Join us to unlock the secrets of how artificial intelligence is revolutionizing higher education with Dr. Christina Agvent from Trifecta Education, one of our keynote speakers at the Lumivero Virtual Conference on September 25-26, 2024. She has more than 30 years in the field, where she blends technology and learning, and champions rethinking education to incorporate AI, focusing on its ethical and effective use. Through her books "AI-engagED: Future-proof Education” practical strategies for enhancing education with AI. She consults on AI's ethical integration in education and speaks widely on the topic. 

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/

What attributes impact an individual's performance in the workplace? My guest in this episode addresses this with a technology he developed that uses an objective way to understand what knowledge, skills, motivation, perception, collaboration, information flow, and leadership attributes each individual has. Combining this unique data set with customer data and HR data, to understand what really contributes to profit and revenue from a workforce perspective. Patrick Veenhoff is the Founder and CEO of Outlier Lab in Switzerland. He has been exploring the question, of what behaviours drive performance, for 25 years. He has developed software helps people optimize their learning in the workplace. His approaches delivered a 25% increase in lead generation, a 10%-win ratio improvement through better collaboration, and a 30% sales enablement cost reduction. Patrick founded Outlier Lab to help people become the optimal version of themselves. He performs empirical research on behavioural indicators and holds a master's degree in business administration. His work has received multiple industry awards, most recently for "Best Use of Learning Analytics to Impact Business Performance". Patrick is a sought-after speaker and chair, engaging with audiences in over 50 events worldwide. Links: Patrick Veenhoff: https://www.linkedin.com/in/patrickveenhoff/ Outlier Lab: https://outlierlab.io LinkedIn: https://www.linkedin.com/company/theoutlierlab/ Email: patrick.veenhoff@outlierlab.io

In dieser Folge "E-Learning Inc." geht es um aktuelle Learning & Development Trends und deren Entwicklung: Künstliche Intelligenz, Learning Analytics und Selbstgesteuertes Lernen. Wolfram Jost, Vorstand imc, beleuchtet die Trends aus Sicht des E-Learning Anbieters während Nadine Vöhringer von Festo über die praktische Umsetzung im Unternehmen spricht. Was euch erwartet:

The saying “the numbers don't lie” might be true when it comes to certain settings, but when it comes to measuring learning analytics, numbers are not the end all be all. If that's the case, how can we measure the impact of L&D initiatives?Learning and development expert Dani Johnson shares her insights on how to better successfully measure the impact of L&D. In her 15 years of experience as an analyst and as Co-Founder of RedThread Research, Dani talks about the different obstacles that Learning Analytics face when it comes to development, accurately capturing impact, and evolving alongside new technology. Join us as we discuss:Traditional LMS vs. new technologyLeadership prioritizing new data, showing the impact of learning initiatives Measuring learning when it comes to more complex jobsThe limitations of using ROI as a measurement

Dr Shlomi Hanuka tells us about a groundbreaking research initiative that he leads, collaborating with experts from Israel, Australia and Uruguay, aimed at enhancing the educational landscape through the implementation of cutting-edge technology. The technology is based on sophisticated learning analytics, that includes dashboards and other concepts.

This episode of the SoLAR Spotlight podcast series features Dr Aneesha Bakharia, Senior Lecturer at the University of Queensland in Australia, and Professor Barbara Wasson, Director of the Centre for The Science of Learning and Technology (SLATE), University of Bergen, Norway as guests, hosted by Shibani Antonette & Rogers Kaliisa. They converse about the recent advances in generative AI and tools like ChatGPT and how they relate to work in learning analytics that aims to improve teaching and learning with data. What is your takeaway from this podcast? What is the lie that Aneesha & Barbara tell in the 'two truths and a lie' game? Let us know on Twitter using the hashtag #SoLARspotlight on Twitter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch.

Barbara Wasson (BScCS'82) is the director for SLATE - The Science of Learning and Technology, the Norwegian national centre for learning analytics. She is one of the founders of Kaleidoscope, a European Network of Excellence on Technology Enhanced Learning and has been the principal researcher on numerous Norwegian and international projects. She is also member of the Norwegian Ministry of Education's Expert group on Learning Analytics and the Council of Europe Expert Group on AI in Education.   Barbara is passionate about learning analytics, AI and education, learning games, e-assessment, teacher inquiry, and data literacy. Host Katie Davey chats with her about the future of data and technology in learning design.  In this episode:    Barbara's experience growing up around computers at UNB and how she got into learning analytics and AI  Policy around learning analytics and AI in the classroom and how privacy and ethics policy is crucial.   How much data can we use to aid in learning without harming children's privacy?  The astounding amount of important data all around us, and the dilemmas this causes for teaching and learning in schools.  The importance of data literacy and AI and how to prepare people for how AI will be a part of daily life soon.  How to learn with AI, and empowering students at an early age to use technology and AI.   Who decides what knowledge is? How does that affect creativity and innovation?  Barbara's thoughts on future trends in technology in learning.  Links and resources:   The story of the Wasson family and computer science at UNB   University of Bergen   AI and Education paper by Barbara Wasson  Thanks to:    Our alumni host, Katie Davey  Music by alumni artist, Beats of Burden   Our alumni Affinity Partners, TD Insurance and Manulife    To listen to UNBeknownst and for more info on the podcast, the hosts and how to subscribe to new episode alerts, visit our website. 

Episode length: 28:11 Author: Thoma et. al. Publication: Next Steps in the Implementation of Learning Analytics in Medical Education: Consensus from an International Cohort of Medical Educators J Grad Med Educ. 2020 Jun;12(3):303-311. Purpose: From the authors: “We sought to characterize barriers to the use of learning analytics techniques in medical education by identifying the questions of educators interested in this field.”

Series: Artificial Intelligence, Leadership and the Future of Further EducationWith:Richard Foster-Fletcher, Executive Chair, MKAI.orgKurt Hintz, Executive Principal, Capital City College GroupDr. Sean Mackney, Principal and CEO at PetrocEpisode 6: Equal Opportunities in the Digital AgeEpisode NotesThis episode centres on the pivotal role of artificial intelligence (AI) in shaping equal opportunities in the education sector, with a special focus on further education and leadership. Discussions range from how AI could democratise access to quality education to its ethical considerations.Objectives:To discuss AI's potential to level the playing field in education, especially in further education.To examine the governmental policies around AI's impact on education and lifelong learning.To explore the ethical considerations of AI in educational settings, particularly in terms of inclusion and analytics.Key Discussions:AI's Potential in Education and LeadershipRichard, Sean, and Kurt explore the untapped potential of AI to bring equality in educational opportunities. Sean is optimistic that AI could particularly assist those from disadvantaged backgrounds, providing a supportive structure for learning.AI's Potential in Education: Group-Fetch and Cognitive OffloadSean and Kurt touch upon how AI can aid in personalised learning experiences. Sean brings up the concept of 'group-fetch' and deep relationships, while Kurt discusses 'cognitive offload' to ease complex tasks.AI's Impact on Education and Lifelong LearningSean brings attention to the governmental view of AI across sectors, urging caution that the pace of technological advancements could outstrip societal adaptation. He advocates for policies like universal income to offset AI's unpredictable disadvantages.Adapting to AI: The Future of Skills and CareersSean and Kurt delve into the necessity for career adaptability in an AI-driven landscape. Sean speaks about the need for switching careers in the case of automation, exemplified by a bricklayer adapting to drone operation.Colleges as Anchors in the Age of AIThe panel addresses the role of colleges as community anchors, contributing to productivity and equal opportunities. Kurt and Sean emphasise the ethical use of data and AI by colleges and call for government frameworks to guide this.GPT-4 Release and Productivity BoostSean talks about the upcoming release of GPT-4, predicting improvements in productivity. He also hints at the possibility of governmental policy mandating access to mobile hardware and speed.Inclusion, AI, and EthicsSean and Richard focus on the importance of inclusion and ethical engagement with AI and data. They debate the potential benefits and risks of AI in this context.Ethics and Learning Analytics in Higher EducationThe discussion turns towards the ethical dimensions of learning analytics. While Sean expresses reservations about how these tools could potentially limit personal growth, Kurt sees them as useful for tracking skills and behaviours.Action Items:Implement ethical guidelines for AI in educational settings.Lobby for governmental frameworks that promote the ethical use of AI.Encourage a balanced approach that values both technological advancements and ethical considerations.The episode serves as a comprehensive guide for educators, policymakers, and thought leaders on the importance and complexity of integrating AI into the educational landscape. It stresses the need for a careful, well-considered approach.

In this podcast episode, Dr. Jonathan H. Westover talks with John Peebles about how learning analytics can revolutionize the way organizations ensure long-term resilience. John Peebles is CEO at Administrate (https://uk.linkedin.com/in/johnjpeebles). Check out the ⁠HCI Academy⁠: Courses, Micro-Credentials, and Certificates to Upskill and Reskill for the Future of Work! Check out the LinkedIn ⁠Alchemizing Human Capital⁠ Newsletter. Check out Dr. Westover's book, ⁠The Future Leader⁠. Check out Dr. Westover's book, ⁠'Bluer than Indigo' Leadership⁠. Check out Dr. Westover's book, ⁠The Alchemy of Truly Remarkable Leadership⁠. Check out the latest issue of the ⁠Human Capital Leadership magazine⁠. Each HCI Podcast episode (Program, ID No. 627454) has been approved for 0.50 HR (General) recertification credit hours toward aPHR™, aPHRi™, PHR®, PHRca®, SPHR®, GPHR®, PHRi™ and SPHRi™ recertification through HR Certification Institute® (HRCI®). Each HCI Podcast episode (Program ID: 24-DP529) has been approved for 0.50 HR (General) SHRM Professional Development Credits (PDCs) for SHRM-CP and SHRM-SCPHR recertification through SHRM, as part of the knowledge and competency programs related to the SHRM Body of Applied Skills and Knowledge™ (the SHRM BASK™). Human Capital Innovations has been pre-approved by the ATD Certification Institute to offer educational programs that can be used towards initial eligibility and recertification of the Certified Professional in Talent Development (CPTD) and Associate Professional in Talent Development (APTD) credentials. Each HCI Podcast episode qualifies for a maximum of 0.50 points.

In this Epsiode Dan talks to Travis Smith about many aspects of Generative AI and Data in Education.   Is AI the fuel that drives insight? Can we really personalise education?  We also look at examples of how AI is currently being used in education. 

01:15 Was hätte ich an diesem Prompt besser machen können? Bitte gib mir 10 Interviewfragen auf Deutsch für meinen Podcast https://www.lerneningeil.de/ zum Thema Künstliche Intelligenz und Corporate Learning. Zielgruppe ist HR und Learning & Development Professionals. Lass dich hiervon inspirieren: https://lernraumdesign.de/ki-corporate-learning 05:45 Welche Rolle spielt Künstliche Intelligenz (KI) derzeit im Bereich Corporate Learning, und wie sehen Sie die zukünftige Entwicklung? 07:30 Es gibt aktuell unzählige KI Applikationen neben ChatGPT, Midjourney oder Synthesia zum Beispiel. Welche nutzt Du neben ChatGPT wieso am liebsten? Kosten- und Compliance-technisch ist es oft schwierig, neue Tools durchzukriegen - welches KI Tool sollte in Firmen must have sein? 09:50 Wie kann KI dazu beitragen, personalisierte Lernangebote für Mitarbeiterinnen und Mitarbeiter zu schaffen? 14:24 Welche Tools und Anbieter arbeiten mit KI Technologie ähnlich ChatGPT und welche kannst Du empfehlen? 16:30 Wenn ich KI Technologie ähnlich ChatGPT im Unternehmen nutzen möchte, muss ich das Tool bei Implementierung neu mit Daten füttern? 17:40 Das heißt es müssen bei Einsatz drei Personen ein Jahr lang das Tool mit Daten füttern, oder? 18:22 Wie kann mir KI bei der Verschlagwortung von digitalen Lernangeboten helfen? Ich kann ChatGPT 4.0 Compliance-technisch nicht den internen Link zu Compliance Web Based Training XYZ geben... 21:15 Wie kann KI bei Learning Analytics unterstützen, ganz pragmatisch in einer stinknormalen Firma ohne fancy tools... #chatgpt #learningdevelopment #lerneningeil #ki 23:12 Welche Empfehlungen würdest Du HR- und Learning & Development-Professionals geben, die den Einsatz von KI in ihrem Unternehmen planen oder bereits umsetzen möchten? 25:40 Du hast eine KI Experimentierwerkstatt ins Leben gerufen. Was ist das? Der Talk als Podcast: https://www.lerneningeil.de⁠ Sandra Schmids Lernraumdesign: https://www.lernraumdesign.de/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/lerneningeil/message

Most L&D professionals measure training after it's over but what if you could predict the success of a learning program in advance? Author Ken Phillips, CEO of The Phillips Group, shares how predictive learning analytics can change the learner's experience and the outcomes for an organization.SHOW NOTES:Ken Phillips shared many actionable items in his interview including the following:Predictive learning analytics can help tell you which learners are most likely to apply what they've learned in a training program and which ones weren't. It also helps predict which managers are most likely to support the training.Predictive learning analytics can significantly reduce the amount of scrap training, or training that's delivered but not applied directly back to the job. Traditional measurement and evaluation typically is backwards-looking and it is most focused on training programs. Predictive learning analytics is forward-looking and examines what's likely to happen after the training concludes. Learn more about Ken Phillip's book, Evaluate Learning With Predictive Learning Analytics on TD.org.Read about Ken's talk at the #ATD23 Conference in San Diego. Powered by Learning earned an Award of Distinction in the Podcast/Audio category from The Communicator Awards and a Silver Davey Award for Educational Podcast. The podcast is also named to Feedspot's Top 40 L&D podcasts and Training Industry's Ultimate L&D Podcast Guide.Learn more about d'Vinci at www.dvinci.com.

The human element of learning analytics and how to use data to create better learning experiences. In this episode, Stella dives into learning data and how to use it, with Bart Rienties, Professor of Learning Analytics at The Open University.Bart Rienties is the Professor of Learning Analytics at The Open University. As an educational psychologist, he brings a fascinating perspective.In this episode Stella and Bart discuss:The key elements of learning analyticsThe importance of the human element of leveraging learning data to support students and the learning environment.The value of tailoring the learning experience using dataHow to use analytics to pinpoint learner's strong points and areas for developmentA real-world story of how using predictive learning analytics raised retention rates by 2 to 10%

In recent years, there has been a growing interest in the field of multimodal learning analytics (MMLA), which focuses on collecting data from physical & online teaching contexts by analysing learning artefacts, traces, and natural human signals, such as gestures and facial expressions. However, despite advances in MMLA, there remain many conceptual, theoretical, methodological, analytical, and pedagogical challenges. In this episode, Dr Rogers Kaliisa discusses the topic of MMLA with Dr Mutlu Cukurova from the University College London and Dr Sambit Praharaj from the Center for Advanced Internet Studies (CAIS)and Ruhr University Bochum in Germany.

Megan Torrance, CEO and founder of TorranceLearning, joins the podcast to share how to get started with data and analytics.  Megan provides a framework for talent development professionals to archive, analyze, and act on workplace learning data, whether you are a beginner or a long-time data user.   Resources: Megan's new book: Data and Analytics for Instructional Designers Megan on LinkedIn: https://www.linkedin.com/in/megantorrance TorranceLearning website: https://www.torrancelearning.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.

Today we have a special guest, Chat GPT. We will hear what it thinks about different topics around EdTech, Learning Analytics and how its existence could impact education. We hope you enjoy it.   I am ChatGPT, a large language model developed by OpenAI. My purpose is to provide helpful responses to users who ask me questions or engage me in conversation. I was trained using a vast amount of data from the internet, including books, articles, and other sources. My training included natural language processing, machine learning, and other advanced techniques to help me understand and respond to human language.  My training data covers a wide range of topics, including science, technology, history, literature, and much more. I am designed to be flexible and adaptable, so I can provide informative and accurate answers to a variety of questions.  Overall, my goal is to be a helpful and informative resource for anyone who needs answers or wants to learn more about the world around us. Whether you have a specific question in mind or just want to engage in a conversation, I'm here to help!   See omnystudio.com/listener for privacy information.

La analítica del aprendizaje es un enfoque basado en datos para comprender y mejorar el aprendizaje. Con la ayuda de la Inteligencia Artificial y el Aprendizaje Automático, la Analítica del Aprendizaje está avanzando rápidamente. En esta plática, Isabel Hiliger nos cuenta hacia dónde se dirige la analítica del aprendizaje y cómo estas nuevas tecnologías están cambiando nuestra forma de enseñar y aprender. Exploraremos el potencial de estas nuevas herramientas para hacer que el aprendizaje sea más eficaz y eficiente. También analizaremos algunas de las consideraciones éticas que acompañan a estas nuevas tecnologías. Así que si estás interesado en aprender más sobre el futuro de Learning Analytics, ¡este podcast es para ti!   Algunos de los links que se comentaron en el podcast: Isabel Hilliger Carrasco ihillige@ing.puc.cl Twitter: @isahillige https://solar.org  See omnystudio.com/listener for privacy information.

In this episode of Beltway Broadcast, your Metro DC Chapter of ATD hosts Peggy Parskey. Peggy owns her own consulting firm, Parskey Consulting, focused on organizational improvement initiatives in the Learning & Development and Human Resources functions. She is the co-author of Measurement Demystified, Measurement Demystified Field Guide, and Learning Analytics, 2nd Edition. In this episode, Peggy discusses a simplified framework that talent development practitioners can use for measurement, analytics, and reporting. If you'd like to learn more about Peggy, checkout her LinkedIn profile. For more info about the Metro DC Chapter of ATD, visit DCATD.org.  Episode Credits: Series Announcer: Julie Waters Hosts: Christina Eanes, Stephanie Hubka, Laëtitia Gnago, and Halyna Hodges

Assessments can sometimes be scary for both students and educators. Join Brandy Pitre, Director of Assessment and Learning Analytics at Savvas Learning, for an essential Assessments 101 discussion with Tavy Wells Chen and Shirley Li.  In the podcast they unpack words like screener, diagnostic, norming, and scaling to help educators better understand the relationship between assessments and learning.

In Episode 5 of The People Analytics Advantage series, we are having an in-depth discussion about Learning Anaytics. In today's economy, learning has become the focal point of hiring discussions because it signals that the employer values their people and is actively investing in their success. So has Learning Analytics. With more and more people leaders and Chief Learning Officers opting for a data-driven approach, Learning Analytics is becoming a much-needed requirement especially if it can link learning content to employees' skill, performance, and goals, paving for a more thoughtful and analytic-driven career mobility. Find out more in this podcast hosted by Chitra Shastri along with Oracle's very own Manisha Gupta VP Product, HCM Analytics.

This episode of the SoLAR Spotlight podcast series features Judy Kay and Giora Alexandron as guests, hosted by Shibani Antonette. They talk about the distinctive needs for explainable algorithmic models in education and ways to deploy them for learning analytics. What is your takeaway of this podcast? What is the lie that Judy and Giora tell in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight on Twittter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

Get to know the new CLIME Director and Assistant Dean for Educator Development Dr. Kristina Dzara. Dr. Dzara began her new position at the University of Washington School of Medicine in April 2022. Show Notes: CLIME Teaching Scholars Program Lau, Dzara, Khachadoorian-Elia, and Berkowitz. 2021. “The ‘Medical Education Roadshow:' Delivering Faculty Development to Busy Clinician Educators When They Least Expect It.” Journal of Continuing Education in the Health Professions.  Well Being for Life and Learning: “A Guidebook for Advancing Student Well-Being at the University of Washington.” Berkowitz, Dzara, and Simpkin. 2021. “Building Your ‘Educational Peloton:' Cycling Together for Success During Uncertain Times.” Journal of Continuing Education in the Health Professions. CLIMEcasts Anti Ableism Series  Goldhamer, Pusic, Co, and Weinstein. 2022. “Can Covid Catalyze an Educational Transformation? Competency-Based Advancement in a Crisis.” New England Journal of Medicine.  Thoma, Warm, Hamstra, Cavalcanti, Pusic, Shaw, Verma, Frank, Hauer. 2020. “Next Steps in the Implementation of Learning Analytics in Medical Education: Consensus From an International Cohort of Medical Educators.” Journal of Graduate Medical Education.  Academic Medicine Last Pages Chan, Dzara, Paradise Dimeo, Bhalerao, and Maggio. 2020. “Social Media in Knowledge Translation and Education for Physicians and Trainees: A Scoping Review.” Perspectives on Medical Education.  @UW_CLIME @KristinaDzara Health Humanities Faculty Development (Alice Fornari) CLOSLER (Margaret S. Chisolm)Bynum, Varpio, Laggo, Teunissen. 2020. “I'm Unworthy of Being in This Space: The Origins of Shame in Medical Students.” Medical Education.  

Reimund Nienaber is a Talent Development, Talent Analytics and Learning Analytics enthusiast and evangelist. Senior HR leader and generalist with profound hands-on global leadership capabilities, expertise and business acumen innovating 20 years in human resources and 15 years in technical and managerial roles with commended performance and proven results. Totalling 20+ years in the telecommunications industry. Excelling as a trusted senior management sparring partner and coach to develop business and people in a relentlessly and changing dynamic environment. Leading first-class HR teams favouring agile methodology. This week Reimund joins me to talk about Eligo and the work they are doing to provide organizations around the world with AI-powered learning and talent analytics.   Reimund also shares what he does to take care of himself while working in this demanding profession and shares one of his favourite resources to stay up to date in HR.   Check out Eligo at www.edligo.net and follow Reimund on LinkedIn.

Learning analytics is about learning, but what does learning means? How do researchers in the learning analytics community and those in the learning sciences community understand learning? What approaches do they take to investigating learning? In this episode, we spoke to A/Prof Jason Lodge and Prof Nancy Law about the intersection of learning analytics and learning sciences. What is your takeaway of this podcast? What is the lie that Jason and Nancy told in the 'two truths and a lie' game? Let us know using the hashtag #SoLARspotlight on Twitter.

Personalization is a must-have in modern marketing. Most customers have no time to consume irrelevant content. They leave immediately and never regret it. How to personalize the marketing message by learning analytics? Matthias Bettag shares his valuable insights. Watch or listen to the entire episode to know a lot more. Wanna get more traffic? Submit…

Brewers bench coach Pat Murphy thinks it took Craig Counsell a little while to learn analytics.

Find the YouTube video link below: Learning Analytics and AI with Stella Lee

This is Episode 18 of "Centering Centers", a POD Network podcast that explores the work of Centers of Teaching and Learning and the vision and insights of educational developers in higher education. This episode features Marsha Lovett, Senior Associate Vice Provost for Educational Innovation & Learning Analytics, Director, Eberly Center for Teaching Excellence & Educational Innovation and Teaching Professor, Department of Psychology at Carnegie Mellon University in Pittsburgh, Pennsylvania, discussing how a research-mindset is being infused into teaching practice at her institution. Eberly's Teaching as Research website: https://www.cmu.edu/teaching/teaching-as-research/index.html

This episode of the SoLAR Spotlight podcast series features Andrew Krumm as guest, hosted by Shibani Antonette and Rogers Kaliisa. They converse about the implementation of learning analytics in schools - where we are now, what challenges we face and how we can look toward the future. What is your takeaway of this podcast? What is the lie that Andy tells in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight on Twittter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch.

Beth Porter started her career in the mathematics classroom before moving into edtech with Mathsoft and Pearson, where she was a VP of software product management. She was an VP of product at Edx in the heady MOOC days of 2014-2015, has consulted, taught at MIT and Boston University, and is most recently, the co-founder of two Edtech companies- Esme Learning, where she is the President and COO and Riff Analytics, which was acquired by Esme Education in December 2021.Esme Learning offers executive education courses from top universities including MIT, Cambridge and Oxford, offered through AI-powered recommendations. Riff Analytics is an analytics platform that uses voice data collected during video calls to show how people interact, measure engagement, and determine the split of speakership, among other metrics. Recommended ResourcesThe Gap Letter by Ryan Craig of Achieve Partners (newsletter)

In this episode of Beltway Broadcast, your Metro DC Chapter of ATD hosts Ken Phillips. Ken is a seasoned learning professional breaking new ground in measurement and evaluation using Predictive Learning Analytics. He has over 35 years of experience helping organizations craft measurement and evaluation strategies and tactics. In this episode, Ken explains the process of Predictive Learning Analytics, shares key training transfer components, and discusses how to eliminate obstacles that prevent participants from applying what they learned.  If you'd like to learn more about Ken, checkout his LinkedIn profile or visit his company's website.  For more info about the Metro DC Chapter of ATD, visit DCATD.org.  Episode Credits: Series Announcer: Julie Waters Hosts: Christina Eanes, Stephanie Hubka, Laëtitia Gnago, and Halyna Hodges

Dashboard is a prominent artefact that users interact with when it comes to learning analytics. What is a learning analytics dashboard ? Who is it for? What is the key to effective adoption of learning analytics dashboard? Listen to Martin Hlosta and Fabio Campos sharing their experience in supporting the use of learning analytics dashboard on a large scale. Can you guess the lies that Martin and Fabio told about themselves? Let us know on Twitter using the hashtag #SoLARspotlight. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

The final part: Join TJ editor Jon Kennard as he concludes his conversation with Steve Finch, head of customer success at digital learning experts Thinqi, and Krystyna Gadd, founder of How to Accelerate Learning and author of 'How Not To Waste Your Money On Training'. In the final episode they talk vanity metrics, triangulation, analytics tips and much more.

This episode of the SoLAR Spotlight podcast series features Leah Macfadyen and Danny Liu as guests, hosted by Shibani Antonette. They converse about the importance of learning analytics practitioners and the pragmatisms in translating learning analytics research into real classroom practice. What is your takeaway of this podcast? What is the lie that Leah and Danny tell in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight on Twittter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch.

№ 41 Robert Paddock, Valenture InstituteMy guest for today is Robert Paddock, a EdTech and eLearning entrepreneur from South Africa. While many people are familiar with his first venture - called GetSmarter, which was acquired by 2U in 2017, his latest venture is the Valenture Institute. Valenture is a vanguard effort in the South African secondary education space that seeks to redefine what an all-online education can be.In this fast-paced conversation we talk about:

On today's episode, we sat down with Ryan Baker, an Associate Professor in the Graduate School of Education at the University of Pennsylvania and directs the Penn Center for Learning Analytics. In Ryan's work he's done much research and analysis on the impact on Artificial Intelligence (AI) in education and how it impacts a range of learners. We asked him a few questions specific to students with disabilities and how we can analyze AI's ability to help all students. A few of the questions discussed were ‘what impact does bias truly have on AI and ‘what opportunities are there for individuals with disabilities with current and future AI.'   Mentioned People/Resources: Info on Ryan Baker: https://www.upenn.edu/learninganalytics/ryanbaker/ Ryan Baker's work on Algorithmic Bias in Education: https://edarxiv.org/pbmvz/download?format=pdf René F. Kizilcec and Hansol Lee's work on Algorithmic Fairness in Education: https://arxiv.org/ftp/arxiv/papers/2007/2007.05443.pdf More information on the Educating All Learners Alliance: Website: www.educatingalllearners.org Twitter: @educateall_org YouTube: Educating All Learners

In this episode, we discussed the role of feedback in learning and how learning analytics can help scaffolding a feedback process. What is feedback to learners? What role can learning analytics play in feedback processes? Listen to Professor David Carless (University of Hong Kong) and Dr Lisa Lim (University of Technology Sydney) sharing their thoughts on this topic and some interesting information about themselves. What's your takeaway? What are the lies told at the 2 Truths and 1 Lie game. Please Tweeting us using #SoLARspotlight. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

This week, Brenna is trying to figure out if this really is the home stretch, or if it's just Groundhog Day, and she's joined by someone who loves to geek out about data as much as she does.

This episode of the SoLAR Spotlight podcast series features Ruth Crick and Elizabeth Koh as guests, hosted by Shibani Antonette. They talk about key skills to nurture among 21st century learners and how learning analytics can play a part. What is your takeaway of this podcast? What is the lie that Ruth and Elizabeth tell in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight on Twittter. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

This episode of the SoLAR Spotlight podcast series features Angela Stewart from the University of Colorado Boulder as guest and is hosted by Maren Scheffel. They talk about aspects of diversity and inclusion when it comes to learning analytics research, e.g. diversity in teams, biased algorithms and resources to educate oneself with regards to diversity in academia and the BLM movement. The resources Angela shared and also others are listed on SoLAR's "Statement of Support and Call for Action" page: https://www.solaresearch.org/2020/06/statement-of-support-and-call-for-action/ Do you have any resources to share? And what do you think is the lie that Angela tells in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. If you have any success or cautionary stories to share about using learning analytics to support students during the pandemic to please get in touch with us by sending an email to: solar.spotlight.podcast@gmail.com

Listen in as I chat with Johnny Hamilton about the future of workplace learning, how we need to ditch data and talk analytics, and more fun chatter about AR! --- Support this podcast: https://anchor.fm/ifyouaskbetty/support

This episode of the SoLAR Spotlight podcast series features Paul Prinsloo and Kirsty Kitto as guests, hosted by Shibani Antonette. They talk about privacy and ethical concerns in learning analytics and ways to overcome them. What is your takeaway of this podcast? What is the lie that Paul and Kirsty tell in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch. Specific feedback may be sent to solar.spotlight.podcast@gmail.com.

LA is a young but fast growing field. As we are about to celebrate the 10th anniversary of the field next month in Frankfurt, it's important that we take some time to think about what we have achieved with LA and where the evidence of impact is. In this episode, we discuss the topic of measuring impact with Dr Linda Corrin from Swinburne University in Australia and Prof Bart Rienties from Open University in the UK

This episode of the SoLAR Spotlight podcast series features Grace Lynch, Nicole Hoover, Vitomir Kovanovic, and Hendrik Drachsler (four members of the LAK20 organising team) as guests and is hosted by Maren Scheffel. They talk about what it is like to organise the Learning Analytics and Knowledge Conference and provide some insights into what will happen at this year's edition of LAK - the 10th anniversary of the conference! Have you already been to a LAK conference? Are you attending it this year? And what do you think is the lie that Hendrik tells in the 'two truths and a lie' game? Let us know on twitter using the hashtag #SoLARspotlight. If you want to know more about SoLAR, get in touch via solaresearch.org or tweet us @SoLAResearch.