Podcast appearances and mentions of bill cope

Listen to Episode No. 10 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, John Jones, assistant professor at SUNY Cortland. In this episode of the Focus, our topic is Image as Form in a Transpositional Grammar: The Example of Photography. Bill Cope : "Every time a new medium turns up, it does new things. So, in the case of photography — our example medium today — its form is Image, and in our grammar, the Image is the human's way of representing the world on a two-dimensional plane. Now, of course, the Image has been around for a very long time, but when photography develops, it adds new things to the Image — it makes the Image much more accessible. You know, how many zillions of photographs are taken every day now, and most of them pushed across space and time via the Internet, right? So we ask, what does that massification of the ability to create the Image do?" Links Cartier-Bresson, The Decisive Image Muybridge's Moving Images Robert Fielding Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.10 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, John Jones, assistant professor at SUNY Cortland. In this episode of the Focus, our topic is Image as Form in a Transpositional Grammar: The Example of Photography. Bill Cope : "Every time a new medium turns up, it does new things. So, in the case of photography — our example medium today — its form is Image, and in our grammar, the Image is the human's way of representing the world on a two-dimensional plane. Now, of course, the Image has been around for a very long time, but when photography develops, it adds new things to the Image — it makes the Image much more accessible. You know, how many zillions of photographs are taken every day now, and most of them pushed across space and time via the Internet, right? So we ask, what does that massification of the ability to create the Image do?" Links Cartier-Bresson, The Decisive Image Muybridge's Moving Images Robert Fielding Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/language

Listen to Episode No.10 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, John Jones, assistant professor at SUNY Cortland. In this episode of the Focus, our topic is Image as Form in a Transpositional Grammar: The Example of Photography. Bill Cope : "Every time a new medium turns up, it does new things. So, in the case of photography — our example medium today — its form is Image, and in our grammar, the Image is the human's way of representing the world on a two-dimensional plane. Now, of course, the Image has been around for a very long time, but when photography develops, it adds new things to the Image — it makes the Image much more accessible. You know, how many zillions of photographs are taken every day now, and most of them pushed across space and time via the Internet, right? So we ask, what does that massification of the ability to create the Image do?" Links Cartier-Bresson, The Decisive Image Muybridge's Moving Images Robert Fielding Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

Listen to Episode No.10 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, John Jones, assistant professor at SUNY Cortland. In this episode of the Focus, our topic is Image as Form in a Transpositional Grammar: The Example of Photography. Bill Cope : "Every time a new medium turns up, it does new things. So, in the case of photography — our example medium today — its form is Image, and in our grammar, the Image is the human's way of representing the world on a two-dimensional plane. Now, of course, the Image has been around for a very long time, but when photography develops, it adds new things to the Image — it makes the Image much more accessible. You know, how many zillions of photographs are taken every day now, and most of them pushed across space and time via the Internet, right? So we ask, what does that massification of the ability to create the Image do?" Links Cartier-Bresson, The Decisive Image Muybridge's Moving Images Robert Fielding Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/photography

Listen to Episode No.10 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, John Jones, assistant professor at SUNY Cortland. In this episode of the Focus, our topic is Image as Form in a Transpositional Grammar: The Example of Photography. Bill Cope : "Every time a new medium turns up, it does new things. So, in the case of photography — our example medium today — its form is Image, and in our grammar, the Image is the human's way of representing the world on a two-dimensional plane. Now, of course, the Image has been around for a very long time, but when photography develops, it adds new things to the Image — it makes the Image much more accessible. You know, how many zillions of photographs are taken every day now, and most of them pushed across space and time via the Internet, right? So we ask, what does that massification of the ability to create the Image do?" Links Cartier-Bresson, The Decisive Image Muybridge's Moving Images Robert Fielding 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

Listen to Episode No.9 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois; and joining us, as well, is James Gee, Regents Professor and Mary Lou Fulton Presidential Professor of Literacy Studies at Arizona State University. In this episode of the Focus, our topic is the generativity of machines. James Gee : "I fundamentally believe that humans are a screwed-up species — one of the few species that will put themselves out of business in a shorter evolutionary time than any species that has lived on Earth. So, something must be wrong with us. And I think what's wrong with us is, we don't understand what sort of animal we are. That's why our schools are no good — we don't understand how humans really learn. We don't understand what a human really is. We have an elevated view of our own rationality, of our own intelligence, and the consequence is, we are depleting the world. So, the biggest attempt we can still make now is to use everything we can (including Chat) to retheorize who we are as a being before we put ourselves out of existence." 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

Listen to Episode No.9 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois; and joining us, as well, is James Gee, Regents Professor and Mary Lou Fulton Presidential Professor of Literacy Studies at Arizona State University. In this episode of the Focus, our topic is the generativity of machines. James Gee : "I fundamentally believe that humans are a screwed-up species — one of the few species that will put themselves out of business in a shorter evolutionary time than any species that has lived on Earth. So, something must be wrong with us. And I think what's wrong with us is, we don't understand what sort of animal we are. That's why our schools are no good — we don't understand how humans really learn. We don't understand what a human really is. We have an elevated view of our own rationality, of our own intelligence, and the consequence is, we are depleting the world. So, the biggest attempt we can still make now is to use everything we can (including Chat) to retheorize who we are as a being before we put ourselves out of existence." Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.9 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois; and joining us, as well, is James Gee, Regents Professor and Mary Lou Fulton Presidential Professor of Literacy Studies at Arizona State University. In this episode of the Focus, our topic is the generativity of machines. James Gee : "I fundamentally believe that humans are a screwed-up species — one of the few species that will put themselves out of business in a shorter evolutionary time than any species that has lived on Earth. So, something must be wrong with us. And I think what's wrong with us is, we don't understand what sort of animal we are. That's why our schools are no good — we don't understand how humans really learn. We don't understand what a human really is. We have an elevated view of our own rationality, of our own intelligence, and the consequence is, we are depleting the world. So, the biggest attempt we can still make now is to use everything we can (including Chat) to retheorize who we are as a being before we put ourselves out of existence." Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Listen to Episode No.9 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois; and joining us, as well, is James Gee, Regents Professor and Mary Lou Fulton Presidential Professor of Literacy Studies at Arizona State University. In this episode of the Focus, our topic is the generativity of machines. James Gee : "I fundamentally believe that humans are a screwed-up species — one of the few species that will put themselves out of business in a shorter evolutionary time than any species that has lived on Earth. So, something must be wrong with us. And I think what's wrong with us is, we don't understand what sort of animal we are. That's why our schools are no good — we don't understand how humans really learn. We don't understand what a human really is. We have an elevated view of our own rationality, of our own intelligence, and the consequence is, we are depleting the world. So, the biggest attempt we can still make now is to use everything we can (including Chat) to retheorize who we are as a being before we put ourselves out of existence." 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

Listen to Episode No.8 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. Today we welcome, too, Duane Searsmith, E-Learning Technical Specialist, Information Trust Institute, also at the University of Illinois. In this episode of the Focus, our topic is the meaning of generation by machine. It's stunning what Generative AI can produce, but what exactly is it there that is being produced? What does it mean, and what do we do with it? And actually, more important, what do we do with the AI that's doing the producing? AI in our lives now and will continue infiltrating and embedding only more as each day passes and each new update and redesign is released. Therefore, we are the responsible parties in this — we, us, the users. We are the ones we must ask: What does AI mean to us? Because what AI just means, itself... well, that is still only whatever we can mean, ourselves. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.8 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. Today we welcome, too, Duane Searsmith, E-Learning Technical Specialist, Information Trust Institute, also at the University of Illinois. In this episode of the Focus, our topic is the meaning of generation by machine. It's stunning what Generative AI can produce, but what exactly is it there that is being produced? What does it mean, and what do we do with it? And actually, more important, what do we do with the AI that's doing the producing? AI in our lives now and will continue infiltrating and embedding only more as each day passes and each new update and redesign is released. Therefore, we are the responsible parties in this — we, us, the users. We are the ones we must ask: What does AI mean to us? Because what AI just means, itself... well, that is still only whatever we can mean, ourselves. 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

Listen to Episode No.8 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. Today we welcome, too, Duane Searsmith, E-Learning Technical Specialist, Information Trust Institute, also at the University of Illinois. In this episode of the Focus, our topic is the meaning of generation by machine. It's stunning what Generative AI can produce, but what exactly is it there that is being produced? What does it mean, and what do we do with it? And actually, more important, what do we do with the AI that's doing the producing? AI in our lives now and will continue infiltrating and embedding only more as each day passes and each new update and redesign is released. Therefore, we are the responsible parties in this — we, us, the users. We are the ones we must ask: What does AI mean to us? Because what AI just means, itself... well, that is still only whatever we can mean, ourselves. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Listen to Episode No.8 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. Today we welcome, too, Duane Searsmith, E-Learning Technical Specialist, Information Trust Institute, also at the University of Illinois. In this episode of the Focus, our topic is the meaning of generation by machine. It's stunning what Generative AI can produce, but what exactly is it there that is being produced? What does it mean, and what do we do with it? And actually, more important, what do we do with the AI that's doing the producing? AI in our lives now and will continue infiltrating and embedding only more as each day passes and each new update and redesign is released. Therefore, we are the responsible parties in this — we, us, the users. We are the ones we must ask: What does AI mean to us? Because what AI just means, itself... well, that is still only whatever we can mean, ourselves. 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

Listen to Episode No.7 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is This is what language means. It is text, and it is speech — but is not the two wholly as one. It is speech, and then it is text, or it is the other way around — but the two cannot be one, because between them opens a gulf of difference: Text is the one extreme — the other end of which is Speech. And neither makes — nor the two together can make what the digital is for us today. We read images as much as we do print. Music and sounds are louder than speech in many regions of the online. Video brings movement to life, while the moving body or the object in motion makes space visible. All this is called virtual reality for good reason. We call it all the cyber-social. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.7 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is This is what language means. It is text, and it is speech — but is not the two wholly as one. It is speech, and then it is text, or it is the other way around — but the two cannot be one, because between them opens a gulf of difference: Text is the one extreme — the other end of which is Speech. And neither makes — nor the two together can make what the digital is for us today. We read images as much as we do print. Music and sounds are louder than speech in many regions of the online. Video brings movement to life, while the moving body or the object in motion makes space visible. All this is called virtual reality for good reason. We call it all the cyber-social. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/language

Listen to Episode No.7 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is This is what language means. It is text, and it is speech — but is not the two wholly as one. It is speech, and then it is text, or it is the other way around — but the two cannot be one, because between them opens a gulf of difference: Text is the one extreme — the other end of which is Speech. And neither makes — nor the two together can make what the digital is for us today. We read images as much as we do print. Music and sounds are louder than speech in many regions of the online. Video brings movement to life, while the moving body or the object in motion makes space visible. All this is called virtual reality for good reason. We call it all the cyber-social. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

Listen to Episode No.7 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is This is what language means. It is text, and it is speech — but is not the two wholly as one. It is speech, and then it is text, or it is the other way around — but the two cannot be one, because between them opens a gulf of difference: Text is the one extreme — the other end of which is Speech. And neither makes — nor the two together can make what the digital is for us today. We read images as much as we do print. Music and sounds are louder than speech in many regions of the online. Video brings movement to life, while the moving body or the object in motion makes space visible. All this is called virtual reality for good reason. We call it all the cyber-social. 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

Listen to Episode No.6 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and today as well, Bradley Alger, Professor Emeritus, Department of Physiology, University of Maryland School of Medicine. In this episode of the Focus, our topic is How the hypothesis means. What does out knowledge mean after it's been hypothesized and tested? And what can we claim to know by having tested it? Also, just how far into the scientific enterprise does hypothetical testing reach — in other words, why are scientists writing so much when the hypotheses they test seem to be testing so little? What's all the communication about? These questions — and many, many more — make the meat of this lively discuss about meaning and the hypothesis. Listeners might be interested in my interview with Bradley Alger about his book Defense of the Scientific Hypothesis: From Reproducibility Crisis to Big Data (Oxford UP, 2019). And if you want to buy the book, go here.  You can learn all about the hypothesis at The Scientific Hypothesis. 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

Listen to Episode No.6 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and today as well, Bradley Alger, Professor Emeritus, Department of Physiology, University of Maryland School of Medicine. In this episode of the Focus, our topic is How the hypothesis means. What does out knowledge mean after it's been hypothesized and tested? And what can we claim to know by having tested it? Also, just how far into the scientific enterprise does hypothetical testing reach — in other words, why are scientists writing so much when the hypotheses they test seem to be testing so little? What's all the communication about? These questions — and many, many more — make the meat of this lively discuss about meaning and the hypothesis. Listeners might be interested in my interview with Bradley Alger about his book Defense of the Scientific Hypothesis: From Reproducibility Crisis to Big Data (Oxford UP, 2019). And if you want to buy the book, go here.  You can learn all about the hypothesis at The Scientific Hypothesis. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.6 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and today as well, Bradley Alger, Professor Emeritus, Department of Physiology, University of Maryland School of Medicine. In this episode of the Focus, our topic is How the hypothesis means. What does out knowledge mean after it's been hypothesized and tested? And what can we claim to know by having tested it? Also, just how far into the scientific enterprise does hypothetical testing reach — in other words, why are scientists writing so much when the hypotheses they test seem to be testing so little? What's all the communication about? These questions — and many, many more — make the meat of this lively discuss about meaning and the hypothesis. Listeners might be interested in my interview with Bradley Alger about his book Defense of the Scientific Hypothesis: From Reproducibility Crisis to Big Data (Oxford UP, 2019). And if you want to buy the book, go here.  You can learn all about the hypothesis at The Scientific Hypothesis.

Listen to Episode No.6 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and today as well, Bradley Alger, Professor Emeritus, Department of Physiology, University of Maryland School of Medicine. In this episode of the Focus, our topic is How the hypothesis means. What does out knowledge mean after it's been hypothesized and tested? And what can we claim to know by having tested it? Also, just how far into the scientific enterprise does hypothetical testing reach — in other words, why are scientists writing so much when the hypotheses they test seem to be testing so little? What's all the communication about? These questions — and many, many more — make the meat of this lively discuss about meaning and the hypothesis. Listeners might be interested in my interview with Bradley Alger about his book Defense of the Scientific Hypothesis: From Reproducibility Crisis to Big Data (Oxford UP, 2019). And if you want to buy the book, go here.  You can learn all about the hypothesis at The Scientific Hypothesis. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

Listen to Episode No.5 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and also Gang Wang, Associate Professor in the Department of Computer Science, University of Illinois. In this episode of the Focus, our topic is what decision means. Decision is no simple matter, whether the decider in question is human or machine. In a sense, both are black boxes to us, and yet the urgency today to open the lid on A.I. is heightened because of how human-like the machine seems to be able to do decision. This is why, across disciplines, we need to convene and discuss and decide together on how to understand and use A.I. The alternative is grisly: Everyone using a tool that no one fully understands — no one using the tool in full understanding or for that matter, in any understanding at all. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.5 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and also Gang Wang, Associate Professor in the Department of Computer Science, University of Illinois. In this episode of the Focus, our topic is what decision means. Decision is no simple matter, whether the decider in question is human or machine. In a sense, both are black boxes to us, and yet the urgency today to open the lid on A.I. is heightened because of how human-like the machine seems to be able to do decision. This is why, across disciplines, we need to convene and discuss and decide together on how to understand and use A.I. The alternative is grisly: Everyone using a tool that no one fully understands — no one using the tool in full understanding or for that matter, in any understanding at all. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Listen to Episode No.5 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and also Gang Wang, Associate Professor in the Department of Computer Science, University of Illinois. In this episode of the Focus, our topic is what decision means. Decision is no simple matter, whether the decider in question is human or machine. In a sense, both are black boxes to us, and yet the urgency today to open the lid on A.I. is heightened because of how human-like the machine seems to be able to do decision. This is why, across disciplines, we need to convene and discuss and decide together on how to understand and use A.I. The alternative is grisly: Everyone using a tool that no one fully understands — no one using the tool in full understanding or for that matter, in any understanding at all. 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

Listen to Episode No.5 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and also Gang Wang, Associate Professor in the Department of Computer Science, University of Illinois. In this episode of the Focus, our topic is what decision means. Decision is no simple matter, whether the decider in question is human or machine. In a sense, both are black boxes to us, and yet the urgency today to open the lid on A.I. is heightened because of how human-like the machine seems to be able to do decision. This is why, across disciplines, we need to convene and discuss and decide together on how to understand and use A.I. The alternative is grisly: Everyone using a tool that no one fully understands — no one using the tool in full understanding or for that matter, in any understanding at all. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Listen to Episode No.5 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and also Gang Wang, Associate Professor in the Department of Computer Science, University of Illinois. In this episode of the Focus, our topic is what decision means. Decision is no simple matter, whether the decider in question is human or machine. In a sense, both are black boxes to us, and yet the urgency today to open the lid on A.I. is heightened because of how human-like the machine seems to be able to do decision. This is why, across disciplines, we need to convene and discuss and decide together on how to understand and use A.I. The alternative is grisly: Everyone using a tool that no one fully understands — no one using the tool in full understanding or for that matter, in any understanding at all. 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

Listen to Episode No.4 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is whether A.I. can mean. The short answer is yes, A.I. can mean... whatever we make it mean. For instance, ChatGPT does has access to text on certain kinds of subject matter, like, for example, the assembly of explosives or specifications on suicide. This kind of stuff is on the web, so ChatGPT has “read it” these subjects into its corpus. However, human programmers have applied filters telling the A.I. not to speak about these things. Nonetheless, you may be able to get to what it “thinks” about these things with some clever prompts, called “jailbreaks” in the hacker trade. But does the A.I. really think, as we humans would associate with the act of thinking? Not really, because an A.I. like ChatGPT does not think about bombs or self-destruction. It just has words about these subjects which it doesn't itself “understand.” And on top of that, its human-programmer masters have told it not to repeat them. But whose purpose is meant to be served here, the A.I.'s or our own? In our discussion in this instalment of All We Mean, we argue, of course, for the A.I. serving the purposes of us humans. But there the questions immediately arises, which of us humans will be served? It may be that only the big stakeholders in the large Internet companies get served, and who knows what purposes they have. Perhaps they're quite content to see A.I. create the illusion of fact and consciousness, if for no other reason than to increase profits. We, on the opposite side of that, say that the technology has tremendous potential for everyone, if used in everyone's interests. For example, people who want to learn can use A.I. technologies to improve their own performance, just as people who want to discover can use A.I. technologies to communicate their findings more effectively. These are the sorts of purpose we believe A.I. can be used to accomplish, by anyone, for everyone. But, we wonder, will purposes such as these also count when the technology rests firmly in the hands of the very few, because what if they don't really care what the rest of us want? Read Bill's and Mary's multimodal grammar of A.I. And read their work on using A.I. in education. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.4 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is whether A.I. can mean. The short answer is yes, A.I. can mean... whatever we make it mean. For instance, ChatGPT does has access to text on certain kinds of subject matter, like, for example, the assembly of explosives or specifications on suicide. This kind of stuff is on the web, so ChatGPT has “read it” these subjects into its corpus. However, human programmers have applied filters telling the A.I. not to speak about these things. Nonetheless, you may be able to get to what it “thinks” about these things with some clever prompts, called “jailbreaks” in the hacker trade. But does the A.I. really think, as we humans would associate with the act of thinking? Not really, because an A.I. like ChatGPT does not think about bombs or self-destruction. It just has words about these subjects which it doesn't itself “understand.” And on top of that, its human-programmer masters have told it not to repeat them. But whose purpose is meant to be served here, the A.I.'s or our own? In our discussion in this instalment of All We Mean, we argue, of course, for the A.I. serving the purposes of us humans. But there the questions immediately arises, which of us humans will be served? It may be that only the big stakeholders in the large Internet companies get served, and who knows what purposes they have. Perhaps they're quite content to see A.I. create the illusion of fact and consciousness, if for no other reason than to increase profits. We, on the opposite side of that, say that the technology has tremendous potential for everyone, if used in everyone's interests. For example, people who want to learn can use A.I. technologies to improve their own performance, just as people who want to discover can use A.I. technologies to communicate their findings more effectively. These are the sorts of purpose we believe A.I. can be used to accomplish, by anyone, for everyone. But, we wonder, will purposes such as these also count when the technology rests firmly in the hands of the very few, because what if they don't really care what the rest of us want? Read Bill's and Mary's multimodal grammar of A.I. And read their work on using A.I. in 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

Listen to Episode No.4 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is whether A.I. can mean. The short answer is yes, A.I. can mean... whatever we make it mean. For instance, ChatGPT does has access to text on certain kinds of subject matter, like, for example, the assembly of explosives or specifications on suicide. This kind of stuff is on the web, so ChatGPT has “read it” these subjects into its corpus. However, human programmers have applied filters telling the A.I. not to speak about these things. Nonetheless, you may be able to get to what it “thinks” about these things with some clever prompts, called “jailbreaks” in the hacker trade. But does the A.I. really think, as we humans would associate with the act of thinking? Not really, because an A.I. like ChatGPT does not think about bombs or self-destruction. It just has words about these subjects which it doesn't itself “understand.” And on top of that, its human-programmer masters have told it not to repeat them. But whose purpose is meant to be served here, the A.I.'s or our own? In our discussion in this instalment of All We Mean, we argue, of course, for the A.I. serving the purposes of us humans. But there the questions immediately arises, which of us humans will be served? It may be that only the big stakeholders in the large Internet companies get served, and who knows what purposes they have. Perhaps they're quite content to see A.I. create the illusion of fact and consciousness, if for no other reason than to increase profits. We, on the opposite side of that, say that the technology has tremendous potential for everyone, if used in everyone's interests. For example, people who want to learn can use A.I. technologies to improve their own performance, just as people who want to discover can use A.I. technologies to communicate their findings more effectively. These are the sorts of purpose we believe A.I. can be used to accomplish, by anyone, for everyone. But, we wonder, will purposes such as these also count when the technology rests firmly in the hands of the very few, because what if they don't really care what the rest of us want? Read Bill's and Mary's multimodal grammar of A.I. And read their work on using A.I. in education. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Listen to Episode No.4 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. In this episode of the Focus, our topic is whether A.I. can mean. The short answer is yes, A.I. can mean... whatever we make it mean. For instance, ChatGPT does has access to text on certain kinds of subject matter, like, for example, the assembly of explosives or specifications on suicide. This kind of stuff is on the web, so ChatGPT has “read it” these subjects into its corpus. However, human programmers have applied filters telling the A.I. not to speak about these things. Nonetheless, you may be able to get to what it “thinks” about these things with some clever prompts, called “jailbreaks” in the hacker trade. But does the A.I. really think, as we humans would associate with the act of thinking? Not really, because an A.I. like ChatGPT does not think about bombs or self-destruction. It just has words about these subjects which it doesn't itself “understand.” And on top of that, its human-programmer masters have told it not to repeat them. But whose purpose is meant to be served here, the A.I.'s or our own? In our discussion in this instalment of All We Mean, we argue, of course, for the A.I. serving the purposes of us humans. But there the questions immediately arises, which of us humans will be served? It may be that only the big stakeholders in the large Internet companies get served, and who knows what purposes they have. Perhaps they're quite content to see A.I. create the illusion of fact and consciousness, if for no other reason than to increase profits. We, on the opposite side of that, say that the technology has tremendous potential for everyone, if used in everyone's interests. For example, people who want to learn can use A.I. technologies to improve their own performance, just as people who want to discover can use A.I. technologies to communicate their findings more effectively. These are the sorts of purpose we believe A.I. can be used to accomplish, by anyone, for everyone. But, we wonder, will purposes such as these also count when the technology rests firmly in the hands of the very few, because what if they don't really care what the rest of us want? Read Bill's and Mary's multimodal grammar of A.I. And read their work on using A.I. in education. 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

Charlie Kraig and Rick Gilson are joined by Trevor Aleo, author, teacher, podcaster, and doctoral candidate, as we discuss and take a deep dive at times in the conversation, the many ways and means by which students of all grades can develop and demonstrate their literacy. Trevor shares several titles, research points and resources that can support your professional learning and practice in the classroom to benefit your students. A classroom teacher primarily working with students in grades 9-12 Trevor is currently working on completing his doctorate working with Dr. Mary Kalantzis and Dr. Bill Cope at the University of Illinois Urbana-Chgampagne. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.3 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, Kit Nicholls, who is Director of the Cooper Union's Center for Writing and Learning. In this episode of the Focus, our topic is Learning happens where there's meaning. Bill Cope : "At root, what we're talking about in this conversation is some very old values. We wouldn't disagree much with Jean-Jacques Rousseau, we wouldn't disagree much with John Dewey, we wouldn't disagree much with Maria Montessori — if you want to take some of the greats of education — Paulo Freire, we wouldn't want to disagree with. So, we're talking about some old values, but the reality is, The values have not been realized. They might be in small spots of time, for some of us, sometimes, in moments of idealism and extremely hard work. But the question is then, Is there an opportunity for us now with these new media, these digital technologies, to build structures of participation. If our keyword is participation — which is, how to build certain kinds of collaborative, participatory environments — then, can the digital help us do that? Or will the technology make things worse?" Some related links: Common Ground Scholar — Learn and work with meaning!  Here I talk to the authors of the book Syllabus And here's a link to Syllabus 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

Listen to Episode No.3 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, Kit Nicholls, who is Director of the Cooper Union's Center for Writing and Learning. In this episode of the Focus, our topic is Learning happens where there's meaning. Bill Cope : "At root, what we're talking about in this conversation is some very old values. We wouldn't disagree much with Jean-Jacques Rousseau, we wouldn't disagree much with John Dewey, we wouldn't disagree much with Maria Montessori — if you want to take some of the greats of education — Paulo Freire, we wouldn't want to disagree with. So, we're talking about some old values, but the reality is, The values have not been realized. They might be in small spots of time, for some of us, sometimes, in moments of idealism and extremely hard work. But the question is then, Is there an opportunity for us now with these new media, these digital technologies, to build structures of participation. If our keyword is participation — which is, how to build certain kinds of collaborative, participatory environments — then, can the digital help us do that? Or will the technology make things worse?" Some related links: Common Ground Scholar — Learn and work with meaning!  Here I talk to the authors of the book Syllabus And here's a link to Syllabus Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/education

Listen to Episode No.3 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, Kit Nicholls, who is Director of the Cooper Union's Center for Writing and Learning. In this episode of the Focus, our topic is Learning happens where there's meaning. Bill Cope : "At root, what we're talking about in this conversation is some very old values. We wouldn't disagree much with Jean-Jacques Rousseau, we wouldn't disagree much with John Dewey, we wouldn't disagree much with Maria Montessori — if you want to take some of the greats of education — Paulo Freire, we wouldn't want to disagree with. So, we're talking about some old values, but the reality is, The values have not been realized. They might be in small spots of time, for some of us, sometimes, in moments of idealism and extremely hard work. But the question is then, Is there an opportunity for us now with these new media, these digital technologies, to build structures of participation. If our keyword is participation — which is, how to build certain kinds of collaborative, participatory environments — then, can the digital help us do that? Or will the technology make things worse?" Some related links: Common Ground Scholar — Learn and work with meaning!  Here I talk to the authors of the book Syllabus And here's a link to Syllabus Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.3 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois, and as well, Kit Nicholls, who is Director of the Cooper Union's Center for Writing and Learning. In this episode of the Focus, our topic is Learning happens where there's meaning. Bill Cope : "At root, what we're talking about in this conversation is some very old values. We wouldn't disagree much with Jean-Jacques Rousseau, we wouldn't disagree much with John Dewey, we wouldn't disagree much with Maria Montessori — if you want to take some of the greats of education — Paulo Freire, we wouldn't want to disagree with. So, we're talking about some old values, but the reality is, The values have not been realized. They might be in small spots of time, for some of us, sometimes, in moments of idealism and extremely hard work. But the question is then, Is there an opportunity for us now with these new media, these digital technologies, to build structures of participation. If our keyword is participation — which is, how to build certain kinds of collaborative, participatory environments — then, can the digital help us do that? Or will the technology make things worse?" Some related links: Common Ground Scholar — Learn and work with meaning!  Here I talk to the authors of the book Syllabus And here's a link to Syllabus Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.2 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about TMC — Too Much Communication. In the 2000s, people complained about the demand to know more stuff. Not today. It's amazing if you stop to think — if you can find the peace to stop for anything — but such a short time ago, media were about information. Now it's just communicate — post, tweet, share, text, send, upload, access, retweet, like, promote, influence, watch, listen, follow... we do a lot of activity on that surface of our devices. Well, surface is what communication is. That's it. It's, make available — that's communicating. And whether there's too much of it or the wrong kind, one thing is for certain: There's tons of it. Communication is spread everywhere. And what it's all about is not really the question. The pressing question right now is, What is it? 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

Listen to Episode No.2 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about TMC — Too Much Communication. In the 2000s, people complained about the demand to know more stuff. Not today. It's amazing if you stop to think — if you can find the peace to stop for anything — but such a short time ago, media were about information. Now it's just communicate — post, tweet, share, text, send, upload, access, retweet, like, promote, influence, watch, listen, follow... we do a lot of activity on that surface of our devices. Well, surface is what communication is. That's it. It's, make available — that's communicating. And whether there's too much of it or the wrong kind, one thing is for certain: There's tons of it. Communication is spread everywhere. And what it's all about is not really the question. The pressing question right now is, What is it? Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.2 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about TMC — Too Much Communication. In the 2000s, people complained about the demand to know more stuff. Not today. It's amazing if you stop to think — if you can find the peace to stop for anything — but such a short time ago, media were about information. Now it's just communicate — post, tweet, share, text, send, upload, access, retweet, like, promote, influence, watch, listen, follow... we do a lot of activity on that surface of our devices. Well, surface is what communication is. That's it. It's, make available — that's communicating. And whether there's too much of it or the wrong kind, one thing is for certain: There's tons of it. Communication is spread everywhere. And what it's all about is not really the question. The pressing question right now is, What is it? Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

Listen to Episode No.2 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about TMC — Too Much Communication. In the 2000s, people complained about the demand to know more stuff. Not today. It's amazing if you stop to think — if you can find the peace to stop for anything — but such a short time ago, media were about information. Now it's just communicate — post, tweet, share, text, send, upload, access, retweet, like, promote, influence, watch, listen, follow... we do a lot of activity on that surface of our devices. Well, surface is what communication is. That's it. It's, make available — that's communicating. And whether there's too much of it or the wrong kind, one thing is for certain: There's tons of it. Communication is spread everywhere. And what it's all about is not really the question. The pressing question right now is, What is it? Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

Listen to Episode No.2 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about TMC — Too Much Communication. In the 2000s, people complained about the demand to know more stuff. Not today. It's amazing if you stop to think — if you can find the peace to stop for anything — but such a short time ago, media were about information. Now it's just communicate — post, tweet, share, text, send, upload, access, retweet, like, promote, influence, watch, listen, follow... we do a lot of activity on that surface of our devices. Well, surface is what communication is. That's it. It's, make available — that's communicating. And whether there's too much of it or the wrong kind, one thing is for certain: There's tons of it. Communication is spread everywhere. And what it's all about is not really the question. The pressing question right now is, What is it? 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

Listen to Episode No.1 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about what meaning actually is. Meaning is form, and meaning is function. Meaning is made, for example, when a scientist sees the image of a celestial object which till that very moment has been unseen by human eye. But meaning is also made by the novelist who just narrates this same scene, because in truth, the celestial object in question is not really in our universe and doesn't actually exist at all. Meaning can be devious like that — but only if we make it so. Because that's the real idea here about meaning: It's human. Meaning is the one term which may truly describe the entire human project. But do not let me fool you. It's not like meaning denies or somehow escapes the physical world. Meaning does, for sure, occur in our inner consciousness and mind, but the fact of this reality has no priority over the reality of the world out there. No, much the opposite. The two realities condition and recreate one another. And it's here that we should really be looking for meaning, because this sort of intersecting is precisely the sort of work we humans excel at. Equally, we excel at grinding it all to halt, as for example when we deny a fact or we exclude a person or we destroy an image or a document or a statue. Perhaps — just think for a moment — perhaps that celestial object I mentioned really does exist and isn't the figment of some novelist. Perhaps it's the novelist who is the figment here. Perhaps the celestial object really is out there, only we can't prove it anymore because the image and the evidence have been shredded by an envious rival scientist. Where there is meaning, there too are humans. Thus, interest will always figure in. It would appear, then, that real neutrality was the figment here — but we'll leave that topic to a future episode of All We Mean. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to Episode No.1 of All We Mean, a Special Focus of this podcast. All We Mean is an ongoing discussion and debate about how we mean and why. The guests on today's episode are Bill Cope and Mary Kalantzis, professors at the University of Illinois. We talk about what meaning actually is. Meaning is form, and meaning is function. Meaning is made, for example, when a scientist sees the image of a celestial object which till that very moment has been unseen by human eye. But meaning is also made by the novelist who just narrates this same scene, because in truth, the celestial object in question is not really in our universe and doesn't actually exist at all. Meaning can be devious like that — but only if we make it so. Because that's the real idea here about meaning: It's human. Meaning is the one term which may truly describe the entire human project. But do not let me fool you. It's not like meaning denies or somehow escapes the physical world. Meaning does, for sure, occur in our inner consciousness and mind, but the fact of this reality has no priority over the reality of the world out there. No, much the opposite. The two realities condition and recreate one another. And it's here that we should really be looking for meaning, because this sort of intersecting is precisely the sort of work we humans excel at. Equally, we excel at grinding it all to halt, as for example when we deny a fact or we exclude a person or we destroy an image or a document or a statue. Perhaps — just think for a moment — perhaps that celestial object I mentioned really does exist and isn't the figment of some novelist. Perhaps it's the novelist who is the figment here. Perhaps the celestial object really is out there, only we can't prove it anymore because the image and the evidence have been shredded by an envious rival scientist. Where there is meaning, there too are humans. Thus, interest will always figure in. It would appear, then, that real neutrality was the figment here — but we'll leave that topic to a future episode of All We Mean. 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

UXA2022 Day 2 Have you ever had to design training for an online audience? You probably had a few questions. What's the optimal lesson length? Should it be delivered live, or pre-recorded to enable self-paced learning? How can you maximise for social learning? In 2020, Justin created an online cohort course that teaches visual thinking to designers around the world. In doing so, he tried his best to answer the above questions. Through this case study, Justin shares some strategies and best practices for online training, including principles of ‘New Learning' pioneered by Mary Kalantzis and Bill Cope

Listen to this interview of Bill Cope and Mary Kalantzis, creators of the website newlearningonline.com and also professors at the College of Education, University of Illinois. We talk about monastic instruction in the sixth century, we talk about textbook learning in the sixteenth century, and we talk about cybersecurity education in the twenty-first century, but overall we talk about imbalances in self agency. Interviewer: "Could you describe one pedagogical affordance of the technology on your learning platform CGScholar?" Bill Cope: "So, what we're doing is we're using big data and learning analytics as an alternative feedback system. So, what we say, then, is, okay, well: 'The test is dead! Long live assessment!' We have so much data from CGScholar. Why would you create a little sample of an arrow or two at the end of a course, when we can from day one be data mining every single thing you do? And by the way, by the end of the course, we have these literally millions of data points and for every student. Now, the other thing, as well, is, our argument is––and we call this recursive feedback––is that every little data point is a piece of actionable feedback. Someone makes a comment on what you do, you get a score from somebody on your work against a Likert scale...so what we're doing is, we have this idea of complete data transparency, but also, we're not going to make any judgments for you or about you, or the system's not going to do it, without that feedback being actionable, so that you can then improve your work. It feeds into your work. So, the difference is, instead of assessment being retrospective and judgmental, what we're doing is making micro-judgments which are prospective and constructive and going towards your learning." Visit the Learning Design and Leadership Program here and visit CGScholar here. Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen to this interview of Bill Cope and Mary Kalantzis, creators of the website newlearningonline.com and also professors at the College of Education, University of Illinois. We talk about monastic instruction in the sixth century, we talk about textbook learning in the sixteenth century, and we talk about cybersecurity education in the twenty-first century, but overall we talk about imbalances in self agency. Interviewer: "Could you describe one pedagogical affordance of the technology on your learning platform CGScholar?" Bill Cope: "So, what we're doing is we're using big data and learning analytics as an alternative feedback system. So, what we say, then, is, okay, well: 'The test is dead! Long live assessment!' We have so much data from CGScholar. Why would you create a little sample of an arrow or two at the end of a course, when we can from day one be data mining every single thing you do? And by the way, by the end of the course, we have these literally millions of data points and for every student. Now, the other thing, as well, is, our argument is––and we call this recursive feedback––is that every little data point is a piece of actionable feedback. Someone makes a comment on what you do, you get a score from somebody on your work against a Likert scale...so what we're doing is, we have this idea of complete data transparency, but also, we're not going to make any judgments for you or about you, or the system's not going to do it, without that feedback being actionable, so that you can then improve your work. It feeds into your work. So, the difference is, instead of assessment being retrospective and judgmental, what we're doing is making micro-judgments which are prospective and constructive and going towards your learning." Visit the Learning Design and Leadership Program here and visit CGScholar here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/digital-humanities

What do all these have in common: Disneyland and the Dreamtime, the shopping mall and the planned economy, Chomsky's Syntactic Structures and Halliday's Functional Grammar, Unicode and door handles? All mean something. The companion volumes Making Sense: Reference, Agency, and Structure in a Grammar of Multimodal Meaning (Cambridge University Press) and Adding Sense: Context and Interest in a Grammar of Multimodal Meaning (Cambridge University Press), by Bill Cope and Mary Kalantzis, are about being about: the topic is meaning, the activity in our lives which happens to us and which we make happen. Meaning is an inescapable fact of the universe, and though meaning may not be a defining trait of our species, we humans make meaning and add meaning everywhere and all the time. Cope and Kalantzis are at the top of their fields: intellectual history, education, communication studies, linguistics. In this two-volume set, though, Cope and Kalantzis bring everything they have achieved to another level. All of meaning––which is everything there is and has been and ever will be––all of meaning becomes, in their handling, six forms (text, image, space, object, body, sound, speech) and five functions (reference, agency, structure, context, interest). This is not reductive, and the reason it's not reductive is transposition. All five functions are switched on always, in all meaning; the form a meaning takes, on the other hand, is indeed quite often limited to just one. However, this limitation is, through a sweeping move in their theory, shown to be no limitation at all. Every form immanently and imminently becomes other forms, or in the terms of their multimodal grammar, things transpose. Cope and Kalantzis are good writers. Books of such informational and theoretical density do not normally read like your favorite biography or novel. Making Sense and Adding Sense, though, do read like that, thanks to clear prose on complex matter, to orienting tables and boxed definitions, and to the storylines of thinkers and doers whose lives relate in all manner of ways to multimodal theory. The text is expanded online (meaningpatterns.net) by images and videos, where Cope and Kalantzis make good on their point of just how naturally meaning exceeds any given form. The user's experience of Making Sense and Adding Sense is complete. Bill Cope is a Professor in the College of Education at the University of Illinois, Urbana-Champaign. Mary Kalantzis was from 2006 to 2016 Dean of the College of Education at the University of Illinois, Urbana-Champaign. The interviewer, Daniel Shea, heads the podcast series Scholarly Communication, where the world of research publishing is brought to your ears. Daniel is Director of the Writing Program at Heidelberg University, Germany. Just write Daniel.Shea@zsl.uni-heidelberg.de