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Good morning. And we're here with Rich Mayer this

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morning and thank you so much for joining us and

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Rich, would you start by telling us a little

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bit about yourself? Well, sure. Well,

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I'm a professor of psychology here at University of California

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Santa Barbara, um on the shores of the Ppacific

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Ocean. And my research really involves what I would

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call applying the science of learning to education. So

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this is kind of an interdisciplinary field that's at the

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intersection of cognitive psychology and education and technology. And

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in particular, at least recently, I've gotten interested

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in what I call multimedia learning, which is how

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people learn from words and pictures and how we can

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help them learn more effectively. Thank you. Sure

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. How long have you been at U c santa

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Barbara? Um well, I um I know this

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will be shocking. I've been here since 1975.

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You're probably thinking? He looks so young. But

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this was essentially my first job I am after I

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graduated from University of michigan. um I taught at

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indiana University for two years and then I came out

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here. Been here ever since. I've been here

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ever since. Yes. How did you get interested

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in this field? Um yeah, that's a really

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interesting question. I don't really think about that sometimes

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, but I think my my focus has always been

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on the question of how can we help people learn

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in ways so they can take what they've learned and

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apply it to new situations. So that's kind of

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the classic issue of transfer that's, you know,

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been with both psychology and education from the very start

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of both of those fields. So it's a it's

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a issue that has a long history, but it's

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also one that I think is really important um both

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theoretically and practically. So I like a question that

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has both theoretical um, goals and practical goals.

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So really what I've been trying to understand is I

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guess how do you teach for transfer? How do

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you promote meaningful learning? So that's kind of a

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company interested or what got me started? Well speaking

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of getting started, could you describe your career path

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, talk a little bit about where you went to

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grad school and then take us through descriptions of your

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different jobs along the way. Sure. Sure.

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So even a little bit before that I guess You

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know I guess I'm a product of public education from

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kindergarten through graduate school. I my K. 12

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education was in Cincinnati public schools where I kind of

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enjoyed the nerdy subjects of math and science. And

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then I got a B. A. I guess

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a B. S. In psychology at Miami University

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in Oxford Ohio which is just really near Cincinnati.

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And then for graduate school I just went up the

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road to ANn Arbor. Um And I was fortunate

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enough to be admitted to a graduate program in cognitive

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psychology and to work with Jim Green Oh at the

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University of Michigan. Um And that's really where I

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developed what my interests in this field that I'm involved

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in now. Okay good. And then of course

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you went out you went on to Indiana from right

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graduating and then I graduated in 1973. And my

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first job was yes a visiting assistant professor job at

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Indiana University in bloomington. Um Where coincidentally our first

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son was born so we've never let him forget he's

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a Hoosier and then I had the good fortune to

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land a job here at U. C. S

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. B. In 1975. And I've I've been

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here ever since. How would you describe your research

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interests and aspirations when you first started your career?

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Um I would say um you know, my interests

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and aspirations probably haven't really changed that much. I've

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always been interested in uh the issue of transfer and

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how do you how how can you teach people so

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that they can use what they've learned a new situation

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? So that's kind of been the driving question,

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kind of the specific venues I've studied that in have

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changed maybe a little bit from more paper based environments

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to more computer based environments, but the same underlying

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issue has been pretty consistent. What were some of

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the major ideas or approaches that stimulated your professional growth

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? Yeah, that's a really good question. Um

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So, you know, just in terms of concepts

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, I think kind of the issues that caught my

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attention as a grad student and still I are still

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probably motivating my work are the distinction between meaningful and

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rote learning. Like what um what happens when somebody

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engages in meaningful learning? What's um uh what are

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the cognitive processes and what are the what kind of

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knowledge is produced when you engage in meaningful learning rather

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than rote learning? And that's also related to the

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classic, really gestalt idea of insight. Why are

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some people able to come up with creative solutions to

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problems and how can we prepare them to better be

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able to do that? So those are kind of

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, I guess some of the concepts I've been trying

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to deal with. And then let's see in terms

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of theoretical frameworks, I guess I've been working in

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a information processing theoretical framework. So looking at idea

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that learning occurs in a human information processing system that

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has a very limited working memory and that that really

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dictates a lot about how to design effective instruction I

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think. And I guess what else from a kind

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of method, a logical point of view, I've

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kind of taken a uh an experimental approach and focused

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on trying to run rigorous experiments to answer the questions

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I have. Could I wear off since we're on

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the topic of your research interests regarding uh principles that

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guide meaningful learning. Can you talk a little bit

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, would you feel about talking a little bit about

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principles? Sure, support me. Yeah. You

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know, I think what I've been been trying to

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do over the years is too contribute to the science

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of instruction by developing research based principles for how to

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design effective instruction. And I've been trying to contribute

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to the science of learning really, by trying to

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come up with the research based theory of how people

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learn that that's relevant for education for more authentic learning

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situations. Couple of decades, we've come up with

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about a dozen research based principles for how to design

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um what I call multimedia learning. So this is

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learning that involves words and graphics, which is most

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instruction of power point presentation at textbook uh um you

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know, uh computer based training, they all are

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generally multimedia learning environments. Um what's another? So

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that's a technique that's kind of aimed at what I

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call reducing extraneous processing because it's reducing your standing back

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and forth. A technique that's kind of focused on

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what I call managing essential processing. Essential processing involves

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uh learning what the topic is complex and it might

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it might be overwhelming, but we can't really reduce

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the amount of information because that's what we want you

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to learn. So one technique is what I call

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segmenting, which is to break a complicated lesson into

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manageable parts and make sure the learner understands each part

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before you move on to the next one. So

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if you have a continuous narrated animation on how lightning

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storms work, One thing we've done is to break

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it into short segments of about 10 seconds each,

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and after each one, you click on a continue

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button to go onto the next one. That allows

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the learner too, you know, digest one idea

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before moving on to the next one, So we

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call that segmenting, That makes sense. Yeah.

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And the third kind of category of techniques is what

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we call fostering generative processing. So generative processing is

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the deeper kind of processing that involves relating what you're

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learning to prior knowledge and mentally reorganizing it. And

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one technique that we've looked at for doing accomplishing.

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That is what we call the personalization principle. Where

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instead of using formal language, we use uh conversational

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language like 1st and 2nd person you're saying I and

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you instead of third person or if it's an online

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tutor, having the tutor be polite rather than just

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giving direct feedback, Being a little polite with the

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feedback. Who are some of the people who had

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the most impact on your professional growth. Yeah,

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that's a that's a good question to a lot of

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people. I mean, I just am indebted to

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so many people, but you know, starting with

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my parents, I guess, who really instilled a

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love of learning and and also uh respect for hard

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work. Um, and I guess my teachers along

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the way who gave me the self confidence that I

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might be able to, I actually learned something.

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Um um, and I guess in graduate school I

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owe a debt to my mentor Jim Green. Oh

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, at University of Michigan and certainly over the years

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, my students and colleagues, I've just been really

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lucky to be able to work with some really brilliant

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and talented people who have really stimulated a lot of

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my own thinking. What do you think was the

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greatest accomplishment of your career so far and why,

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you know what I've been trying to do? I

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don't know how successful I've been is to, I

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think, as I mentioned before, contribute to the

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science of learning by developing a theory of learning that

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kind of is based on more Authentic learning situations.

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I mean, the science of learning has a long

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history that goes back more than 100 years. But

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a lot of it was based on kind of artificial

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learning situations. And I think by trying to study

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more authentic situations, we can develop more powerful theories

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of how people learn. So that's, that's what

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I've been trying to do. And uh you know

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the theory that I've been working on, I call

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the cognitive theory of multimedia learning, which is really

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just borrows ideas from lots of other people. I

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don't really think it's it's not original. But what

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I'm trying to do is come up with an explanation

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of you know, how learning works and kind of

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the three main cognitive processes in meaningful learning according to

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that theory, are selecting the relevant information. So

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when you're in a learning situation, one thing you

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have to do as a learner is just pay attention

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to what's important. So I call that selecting relevant

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information. You have to mentally organize that into a

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coherent representation. I call that organizing. So we

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have to mentally organize the incoming information into a cognitive

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structure. And then lastly you the third processes integrating

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, which involves I'm connecting the incoming information with relevant

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prior knowledge that you activate from long term memory and

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also connecting it with other incoming information. So those

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three processes selecting, organizing and integrating are kind of

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at the heart of I think this theory of meaningful

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learning. So that's one thing I've been trying to

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do. And then in terms of a science of

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instruction, I've been trying to come up with research

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based principles of how you should design instruction that have

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an empirical base to them and also a theoretical base

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to them. So we've already discussed some of that

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. How would you like to be remembered within our

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profession? I'll leave that to other people do.

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But you know, one thing I've kind of tried

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to emphasize is that in education it's very easy to

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slip into a focus on ideology and opinions and fads

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and a lot of educational practice is is based on

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those things. So I've tried to at least show

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that you can take a scientific approach to a lot

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of educational issues and that it's possible to answer a

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lot of educational questions by, you know, rigorous

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scientific evidence rather than ideology or opinions or feds.

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And that's a significant contribution. It's a constant struggle

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sometimes in the field of education too, to show

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the benefit of a scientific approach we need that in

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your example. Thank you. No, I didn't

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ask you this earlier, but in my email,

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but would you mind talking about your plans for the

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future? Oh, sure. I've um, you

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know, I have never really planned out a research

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path. I just kind of go with what seems

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interesting at the time because I think intellectual curiosity is

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really what should drive your research. So I try

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to study things that I just um very interested in

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. So I've, you know, I've kind of

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developed, I kind of have moved from, like

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I said, studying paper based, um learning situations

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to more computer based. So that's a lot of

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the multimedia learning research, but that's kind of gotten

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interested now in educational games. So I I've been

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starting to try to understand whether educational games can be

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a useful device for helping people learn science and math

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and other subjects, because there are a lot of

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strong claims made for educational games. And there are

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a lot of really smart visionaries who have these very

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nice pictures of what the future is going to be

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based on games. But I think somebody needs to

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do the, you know, the basic research on

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what works and what doesn't work and what are the

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features of games that are effective or not effective?

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So that's I call that the value added approach so

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that that's what I've kind of gotten an interest in

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lately. Okay, good. Well, we'll look

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forward to your contributions in those areas to, Okay

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. Thank you so much. Rich. I don't

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have any further questions. Well, thank you very

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much. I enjoyed it.

