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The fourth session of Learning Creative Learning this week we'll be focusing on the theme of Powerful Ideas and
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its great to have with me here at MIT Brian Silverman and remoting joining from California, Alan Kay.
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But before getting into the conversation with Brian and Alan, I just want to
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do a little recap and update of some of the things we saw in the online community this week. Its great to see
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Its great for us, as we see what's going on in the Google community, to see people representing, whats
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going on in the different, their representations of the discussions from last week. Here's one of the images that
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was put up by Julie Donders of her representation of some of the the conversations from last week on making
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and constructionism. And people also have representations of their own work, this is a representation by
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Corrine Thompson about her thinking about the creative learning spiral as she was working on her Scratch
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project. But actually what we get most excited about is some of the work in the online community where people
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are self organizing for new types of activities not things that we suggested but other things. Adriano from
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Italy put up a template for the creative learning spiral
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and encouraged people to translate it to other languages. So we see here a few of the other languages
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that people have translated during this past week. I think we also see people helping out one another in all sorts
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of different ways. Here's one where somebody was worrying in the online community saying that their group
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wasn't very active and it was great to see that other people just jumped right in and invited her into their discussion
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group. We've seen that happening over and over, we really appreciate the way people are pulling people in and
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forming their own discussion groups. We also see people providing different resources for the community . I know
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that Simon Fogg has been putting together the readings each week into a single read file so that people can
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download it onto their tablets, make it easier for people to get access to the readings during the week.
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We're also checking out that some people are giving us various suggestions and critiquing the work that is going on
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in the course and actually we are really open to that and are interested in hearing people's comments.
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We've said from the beginning and as Phillip was setting up online that this is a big experiment and its us
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experimenting with things and trying things out. And we get some comments like heres one from Hans Roes
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who says " I just don't get why the folks at the Media Lab chose such a terrible classic form for this course,
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lots of readings (which I don't mind) and talking heads." And he went on to talk about other things about
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aren't there more innovative ways of doing it and I do think there are more innovations. This is our first try at this
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and also theres also some constraints. We're doing it in connection with an in person class here at MIT.
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Ok we're getting an echo here. Anyone know where that echo is coming from? Ok, is that coming back through
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Alan? Ok, we see this as a first step and we're experimenting with different formats. We've gotten a lot
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of good feedback from the different activities but we know that theres a lot more that could be done.
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Here's one from John Smith, who gave a variety of ways we can use different media, different ways of engaging
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people in different forms of collaboration and these are things we are very interested in and I as I said
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we are doing this because partly in reaction to some of the other online courses and we want to continue to
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experiment over time. So we'd love to hear from you whats working, whats not working and in time in the future
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we'll continue to think about it. And also just by these comments we've been sparked just by the coming together
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as a community to start thinking of this course less as a course and more as a community. Its been great to see
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the collection of people who have come together and we're starting to think how we can continue and sustain
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this community and we look forward to hearing from you about ways to see this not just as a course because
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we know its not going to be like a course here in person at MIT, what it means to bring together a community
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around shared ideas that we have here. As we get started, I want to mention again, we will be having the
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backchannel chat again if you go to candy.media.mit.edu, you can participate in the chat.
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I think Shai Mindu here will be looking at the chat so if you have questions that you want to ask to Brian and Alan
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you can put them there and we'll relay some of those questions as the session goes on. Its been interesting
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for us to see the discussions going on in that online chat, which we see as just as important as the conversations
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that Alan, Brian and I will be having. So we look forward to providing avenues for you to have those
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ongoing discussions. As we moved into this week, in thinking about the theme of Powerful Ideas, we thought
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it was great bringing together both Brian and Alan, two people who have really influenced my thinking about
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powerful ideas over the years. Brian is a longtime colleague and collaborator who like myself is deeply
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influenced by Seymour Papert, worked with Seymour . Brian helped, was the lead force in several companies producing
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Logo commercial software and he's worked together with us in the Media Lab on a wide variety of projects over the
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years. Many of you know Alan, often seen as the father of the personal computer in many ways for his early visions
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from the dynabook vision, many of the early visions just coming into reality now that really helped influence
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and guided some of the directions as the technology moved forward over the last forty to fifty years. But for us
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its not just about the insights about the technology but Alan from the beginning has been deeply interested in
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the issues around learning and eduation and the role that new media can play there. Actually as you might have
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seen when Brian and I wrote our paper about designing construction kits, we talk about the two people who most
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for learning and kids were Seymour and Alan. So its great to have Alan here to join us. And I also think
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todays theme of powerful ideas is a nice bookend with last weeks sessions talking about constructionism and making.
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I see two big themes that I took away from Seymour Papert. One was engaging kids as makers and designers
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and the other was engaging kids in powerful ideas. So it was nice to have last week's discussion about making and designing
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and this week's discussion about powerful ideas. And theres a lot of discussion online about what is a powerful idea
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and how we can be thinking about powerful ideas. So I thought in starting the discussion today with Alan and Brian
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getting them to talk a little bit about, with this term powerful ideas, how they think about it. Because its something we
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that we all feel although its in the subtitle of Seymour Papert's book Mindstorms: Children, Computers and
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Powerful Ideas, Seymour said it was the part of Mindstorms that people really didn't get. Part of this session today is
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how to we help people get it and foster and support it out in the world? Actually Alan, do you want to get started
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in saying some of the things you think about powerful ideas? Alan: I first heard the phrase from Seymour Papert
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not sure, maybe not the first time I met him along with Cynthia in 1968 but shortly thereafter. And Seymour
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had more than a knack, he had a positive genius for finding very short, very expressive ways of taking a
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whole bunch of things and bundling them up in a way that made it much easier to think about. And of course,
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as Seymour put it, the first powerful idea is that there are powerful ideas. And I just have to say that the first visit to
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Seymour and Cynthia in the fall of 1968 changed my course of life entirely. I had already done a desktop personal
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computer as part of my thesis work at the University of Utah. But I thought of it as kind of like a tool or an
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automobile or something for adults who are kind of like me or other professionals like doctors and stuff. I had
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a degree in Mathematics and another one in Molecular Biology and I'd heard about Seymour from hearing a talk by
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Marvin Minsky roughly on the lines of his Turing Award lecture which is a wonderful lecture, he gave a talk like that
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in '68 so I resolved to visit Seymour when I could. But what I saw was something I knew all along except I didnt' know
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it and that was that there are forms of mathematics that fit much better into the world of the child and what children
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can think about. And Seymour is a Mathematician who had spent some time with Jean Piaget and honed in on this.
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And again he had something that we all knew about except we didn't know it and that is that differential models
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, the reason we have differential models is because they're simpler and the computer is there as an iterator so you
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should be able to base things on simple forms of addition and be able to introduce the child into an honest
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form of calculus for young children, thats what I saw. I also say children doing things that, in many ways, the turtle
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de-emphasized. The turtle has just appeared there at Bridge School and it was wonderful mathematical
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characteristics but before the turtle arrived the children, these were 12 year olds, were making Logo programs
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to translate English into Pig Latin. And some children were doing a French translation, so they were actually using
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Logo in a way that was more purposeful in many ways. Because you can do a lot of things by writing long
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procedures full of turtle commands. But for the language stuff they had to use recursion, they had to understand
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parameters. So what I saw there was just the best thing I'd ever seen, maybe still is. Fortunately we all survived
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the car ride back from Lexington to Cambridge, Seymour driving, me in the back seat and Seymour talking to
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me and Cynthia pounding on him to pay attention to the road. Cynthia may remember that ride, I certainly do.
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And what Seymour was getting at was what a study of history and particularly, the other concentration I had in
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college was anthropology, which reveals pretty strongly that wer're set up by nature to learn certain things fairly
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readily from the culture around us. And then there are inventions so most people learn languages very readily
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because we actually are genetically set up to acquire language from a culture around us, we're not a blank slate.
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But writing was hard to invent despite the fact its an attempt of dealing with something that people have been
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doing for hundreds of thousands of years, its only a few thousand years old. And that fact has to be striking
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for most people that this incredibly powerful idea of writing and reading took a hundred and ninety thousand years
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or more to invent. And example that I use of a powerful idea is calculus because once you learn it in a fluent way
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you're not the same kind of thinker as you were before. And thats my definition of a powerful idea and I think that was
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Seymour's also that its not just an idea, its not just something that has a little bit of leverage as many ideas
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do but its something that is across an important threshold. And I think a threshold is one of the most
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important things that we should talk about. And when you're across that threshold and fluent, like an intermediate
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musician or an intermediate guitar player or an intermediate mathematician, you're actually not thinking
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the way people did a hundred thousand years ago, you've taken on a little extra brainlet and as Jerome Bruner
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pointed out its one of the most wonderful things about humans is that up to some extent we can use
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our language facilities to simulate, to make interpreters for these ideas that our genetics don't set us up with.
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Mitch: I know one question that came up in the discussion in the community was, what do you consider as a
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powerful idea. Alan, I think you're making the case that some ideas which are historically important, that
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required invention by our culture. There's also talking about the personal connection, do powerful ideas need a
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personal connection? Brian, maybe this idea of historically important or personally important, what do you think
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about that? Brian: Can I start off by saying I really wanted to come here and say, "This is what powerful ideas
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are and here's the list" but disappointingly we couldn't find any good way of doing it. We were talking about Seymour's
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genius. One of Seymour's geniuses is to produce really good pieces of vocabulary and then never fully define them.
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The reason thats actually really good is the idea of powerful ideas as your question is pointing out its a complicated one.
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And if you actually had a clean cut definition of it, you'd be narrowing it to some of the facets of it.
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One of the things I got from Seymour's more recent paper is instead of saying powerful, you can say empowering.
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Thats really capturing the personal aspect of it. Because one of the things I saw in the forum and two papers is
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people were talking about powerful ideas and people were talking about big ideas and those are kind of two different
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concepts. That you can have.. Alan: I once gave a talk with the title Big Ideas are Sometimes Powerful Ideas.
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Brian: And how did you make the distinction between them? Alan: Well in the same vague way that Seymour did. But
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again with this threshold idea, I think this threshold idea is a really good one for, its like social interaction which
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is built into us as very popular. But in fact, we have to do a fair amount of learning to make it work for us rather than
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against us because it leads to rivalries, tribalism and all the other stuff thats built into us. Brian: So part of what I think
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Mitchel is asking is theres a category of powerful ideas that can be summed up by standing on the shoulders of
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giants. The thing that you're saying is that it did take 100,000 years to invent writing, it took another
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4000 years to invent calculus. The thing is that once invented we want to have a social mechanism
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in place to not forget them. Thats very different from the individual form of it. Theres a lot of ideas that are
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empowering that are new inventions to you that aren't necessarily new inventions to the world. Mitch: And you're
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saying those are important but you wouldn't categorize them as powerful ideas, you would sort of separate..
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Brian: Its again, its not clear that its spending a lot of time figuring out who gets to keep the label. There really
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are, there are categories of different ideas. And in fact the week leading up to this session, I kind of felt like a
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caterpillar tripping on his feet, I couldn't even figure out if I understood what idea meant. Mitch: Although one things
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important that again I saw in the community is that a lot of the examples given in the papers from Seymour's
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examples and to some of Alan, a lot of them do come up in this math, science, engineering partly because of the
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backgrounds of the people writing, partly because they were constructs of the last few hundred years that enabled
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new ways of thinking. But I do think some people were asking, is it just about that? I think its clearly not just
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about that. And actually I'd like to, in your paper you talk about democracy as a powerful idea or actually
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someone in the online community was talking about that, and I'd be interested to know what you think about this, the
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idea of less is more that came out of Mies van der Rohe, from architecture, you can apply it to other things in the way
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you think about it. So people are raising what sort of counts as a powerful idea within the culture? How would
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you think about in these different fields how you think about powerful ideas? Alan: Well Seymour and I were once
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at a conference at the MIT Conference Center that was called, I forget who called the conference, various friends
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and enemies were at this conference and at least one day was spent fruitlessly arguing about, this is, the desire
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of that day was to make a list of powerful ideas. And the problem is they come in different shapes and sizes.
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Like to me science is right up there to me as the most powerful idea we've ever come up with and its not because
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its about the scientific results that have happened over the last 400 years. Its because science is a
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collection of heuristics for trying to fix whats wrong with our brains and that was articulated actually very
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clearly by Francis Bacon in 1610 when he was writing about the four main flaws we have in our brains that come
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from genetics, that come from our culture, come from the way we use language. So his proposal was what we have to do is come up with
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processes and tools that can help us get around these problems. So the tools are things like telescopes and microscopes
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things that can detect electromagnetic radiation which was not dreamed of in 1610 to deal with all the things
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that are invisible to our nervous systems that we should be paying attention to and also mental tools for dealing with
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, which are basically a collection of heuristics and many of these heuristics would count as powerful ideas all on
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their own. So to me the important thing about this phrase, as Brian pointed out so well, is its simple symbols are
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ones that stand for something and really interesting symbols stand for things that we don't completely
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understand yet. And I also define an interesting person as somebody you find interesting whether you agree with
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them or not. Seymour was definitely one of those, I didn't agree with him on everything but it didn't matter because
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Seymour was a generator of points of view and he really helped all the rest of us think about many of these
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issues. Mitch: Maybe this fact is not so easy just to make a list of powerful ideas, so theres a complexity of
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how they're connected. Also leads to the question, how do we help people engage with powerful ideas because its not
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just a matter of having the list, doing the curriculum and then we're done. So the idea is how do you build a culture
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that can foster and support..Alan: I would say just don't worry about definitions just take science and things that
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you can find good analogy, strong analogies to that will count as them also. Instead of trying to define something
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and expanding it out, we can be more aristotelian and collect examples of things and save. And things like were
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like this, that was Aristotle's strength as opposed to Plato was that he didn't go to a class oriented system, he
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went to an example driven way of codifying the world. Brian: If anybody's keeping score, so , so far we have two ideas
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on our list. There was science and there was democracy. Those are big ones. Could I add a little one that may be
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a big one. So I read Seymour's paper as we all should have and a point in the paper said he brought in a rat trap
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and that generated a lot of enthusiasm because for one of the kids the rat trap represents an idea. And I thought
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about that for a bit and say rat trap, well trapping rats isn't a very powerful idea even if the rat trap is very powerful.
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What did he mean? And trying to read between the lines my guess is the kid understood by seeing a rat trap that
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theres an idea that you can use a tiny bit of force to unleash a huge amount of force. Thats a really powerful idea that
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things can have triggers. Mitchel and I were discussing this earlier and we trying to figure out historically, how far back
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does that one go? 400 years maybe? Alan: The interesting thing about triggers, I would say is the
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complementary powerful idea is that you can train a pidgeon to pull a trigger of an AK47 or set off a nuclear
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explosion. So triggers are both powerful and dangerous. That brings up the idea that most powerful ideas are double edged swords
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they cut both ways, they can be amplifiers or they can take things away from us. Mitch: Right, actually can I try
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to push this in the direction of how is it that we can help people support others in the engagement of powerful
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ideas and getting a deeper sense of it? I think in a lot of the writings its about creating a culture that supports
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it, creating environments, so maybe a little bit more about what are strategies for fostering and cultivating
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the engagement with powerful ideas? Brian: Since the sessions about what classifies, Seymour's vocabulary that
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doesn't have good definition, let me throw out another. Its a good strategy for that making microworlds. Right and
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making microworlds is kind of like make environments where you're making things and in the course of these building
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things come good ideas will have an opportunity to emerge. Mitch: This is in some ways connecting last week's
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theme and this week's theme. One of the reasons that we like making is not just because it enables you to
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express your ideas but the activity is more likely to engage you with ideas. Brian: Yes, and one of the things
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that we used to talk about, debugging, and we're talking less today about debugging and I was thinking
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just the word debugging isn't a great word because bug has negative connotation even though the word was
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invented to have less of a negative connotation. The thing is when you're making anything either in the microworld
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or the real world, you're constantly getting stuck. And a lot of education is about figuring out how to get unstuck.
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in certain circumstances. Now what happens? The sprites at the edge of the screen and you want to do something about it.
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You're stuck. Somebody will wander over and give you a suggestion. If you like the suggestion, you'll say thats a good
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idea. So often the ideas are the things that help you get unstuck. A powerful idea is a way of getting unstuck that
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you then realize will get you unstuck in future places. That when you run into an analogous situation, you can
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use the same idea to help you get through that one. Alan: Yes, I would say the, an interesting thing to look at
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now theres a lot of talk about STEM these days. I always like to take it in its historical order which is
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now TEMS. And Technology is not be a word that is in there because technology technically is about
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everything that we make. So for the T, I put in Tinkering. We're not the only species that tinkers with
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things so its a good place to start. And Seymour used the french word "bricolage" for this which is just fooling
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fooling around, trying things, seeing what works and what doesn't and historically engineering came in, I claim,
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when people started to try and extract principles from the tinkering and they would make cookbooks. And
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engineering was possible long before science because you don't have to understand a lot to do engineering.
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Even when I was learning there was a joke that even if the bridge fell down, you'd just double the cross-section
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of all the beams and that works up to the point where the square cube law will pull the bridge down directly.
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So there's a lot of this finding sweet spots that still defines engineering today. And then mathematics happened
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in a variety of places but I think modern mathematics happened in Greece 2500 years ago and then finally
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science 400 years ago, so TEMS. And I think that the possibilities for enlightment enlarge as you go from one
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of these to the next. Its difficult to get really enlightened about tinkering because..Brian: Can I argue that? But
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first since we were keeping score of powerful ideas, another that came up in what you said is that fact that
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there are sweet spots. For me a very powerful idea was realizing that you can't simultaneously optimize everything.
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Right, you can't have something be the simplest, the most powerful, the cheapest and the prettiest all at the
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same time. But let me get back is actually Mitchel pointed out the paragraph in the paper we gave for the course
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where you said about tinkering what you're saying now, and its funny though because you were putting tinkering
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in opposition to storytelling. And I thought that in my own career, the best technique has been systematic
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tinkering. Mitch: And let me put it another way, and this came up in the Google community, people discussing
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it because it could be that people are just using the words differently. But you were using tinkering to mean an
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unsystematic approach and that later you can make systematic. Whereas I think Seymour had written
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about tinkering as an alternate approach as opposed to a predessor approach but tinkering could be a pathway
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systemeticity but maybe its just a matter of words. Alan: Its like Jerome Bruner had a good insight which is
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when you're doing curriculum, Jerry said, if you don't know what else to do try recapitulating the Piaget
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stages. Try to find the kinesthetic encounter with the idea first learner, find the figurative one, visual or auditory
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and this could build the basis for a more symbol approach to the idea because you're using other ways
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of knowing to build up to it. Mitch: And maybe..go ahead Alan: Same thing, I don't think theres any scientist
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today who doesn't tinker. So I think the basic idea is that these four things are kind of like an overlapping venn
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diagram and practitioners try to get in the sweet spot of that. And I think a really good practitioner, another
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powerful idea is to have some sense of whether you're tinkering doing engineering, doing mathematics or
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doing science because even though they are highly related and you have to do use all of them when you're doing
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them, they actually have different points of view on what success is and what the powerful ideas within them
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are. Mitch: I think one thing I was taking away from the readings is there are these powerful ideas, then
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there are pathways in engaging with those ideas. Even though some of the things we talked about, making personal
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connections, that can be sort of, help you make a pathway for making engaging with the ideas. So, one thing
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is I don't...Alan: Let me try a thing on you. So let's go to neutral ground here and take music. So music has
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analagous stages and theres definitely a tinkering part of music. And some people are actually quite happy to stay
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there because from their standpoint, what they're out after is a sense of personal identity and belonging,
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participation and they don't have to be fluent in order to feel like they are participating, this is what Guitar Hero is
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all about, its a way Brian: Well actually...Alan: No, hang on Brian. Brian: Sorry Alan: Its a way of feeling like you're
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in this club without paying the dues and so I think that with music its pretty clear that people who stay with
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tinkering are at best in a pop culture and that they are missing an enormous amount of stuff that has been
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discovered, created, invented, done in illuminating this large field and I feel the same way about tinkering. Its a
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necessary part but its far far from sufficient. And one of the big problems when computers came in thirty years
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ago in general use was pretty much everyone was happy if they saw the kids tinkering. And from my standpoint
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the kids weren't doing anything interesting at all but from the adult standpoint they were dealing with something
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adults were upset about or frightened about or were wary about and the children were just piling in. And you
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see a lot of this rhetoric with One Laptop Per Child also. Just the fact that the children are using them and
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everything is deemed to be a good thing and I think it is but I think its far far below the threshold that is required
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before it becomes worth it. Mitch: Since you're bringing up computers, lets turn to that a little bit, whats the special role
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computers play in thinking about powerful ideas? Brian: And I was going to say if I can't interrupt Alan, can I interrupt
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you? Mitch: Yeah Brian: We're using, I like repurposing the word tinkering to mean something I like and maybe
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you would even like because I think we're using the word differently. The way that we've been trying to use
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the word tinkering is going through the design process with materials in hand rather than the engineering process
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don't engage the materials until you have a plan. Alan: Yeah, I think you want to do both, in the arts, so if you
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go to art school to sculpture class they don't give you a lump of clay, the reason is you can't debug a lump
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of clay into something neat except by lowering the thresholds tremendously. Brian: For sure, for sure but you
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can debug a computer program into something neat. Alan: I don't think so, I think you have to have an idea
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and I think those ideas that you are putting in there are absolutely critical. I think, you know, in every, you can
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make a computer program do something interesting but I don't think it, I think in the same way you can
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make a cup of clay without a plan, you can make, just fool around and do stuff but its just such a low level of
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engagement with the material, it just isn't enough as far as. This is one of the big differences in how Seymour
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looked at the world and how I do. Seymour essentially liked the viewpoint of Rousseau and from my background
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in anthropology, I just didn't believe in Rousseau. And 200,000 years of history says Rousseau was
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merely an idealist, he didn't actually, wasn't actually looking at human beings as they are and thats, so children
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are simply not going to discover things that took human beings two hundred years to discover. Right,
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they have to be put into a context that is really something more like Montessori and of course Seymour did
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like Montessori. Mitch: Its not saying to have a blank slate but you could, I think Seymour was saying that you
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could create some environment they you would start by tinkering so its not just this do anything but its one that
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makes you more likely to discover and make progress through your tinkering. Alan: You can but thats what
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cultures are. Cultures are places where theres a start in tinkering and most cultures never invented writing or
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calculus or anything else. So I think what human culture is and what we are basically wired to do which
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is to find ways of coping with situations where we don't have the tools which we've done for most of our time, finding
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ways of dealing with the powerful and deleterious effects of our social system, thats what we're set up to do.
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We're not set up to invent science. And so if we're going to have children learn science, its not something
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that we want to put them back into a classroom where somebody's talking to them about science but we have to
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have adults that actually understand. If you look at the experience on eToys and you can tell me about your
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experience with Scratch. But eToys has at least been touched by some millions in twenty or thirty different
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cultures and in every case that we've been able to look at closely, what the children were able to do was entirely
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predictable on what the adults around them knew. And if the children don't have knowledgable adults around them
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they tend to use the computer medium as a storytelling device because thats whats built into us. Thats what we do.
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And the most interesting thing about science perhaps from that perspective is that it really isn't about stories.
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Scientific knowledge is not in the form of stories, its not judged the way stories are judged, it has a completely
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different epistemology and learning that epistemology I think is one of the primary reasons for helping children
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very strongly. Mitch: But certainly the culture around makes a big difference, is something I think everyone would
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agree on. Even if you become a good storyteller, not just to become a good scientist I think you would..Alan: I'm
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not against stories, I'm talking about adding something in rather than confusing it so much that you try to make
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science into a story where in order to do that you have to completely distort any reasonable definition of story
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and narrative. Maxwell's equations just doesn't have a narrative, I'm sorry. Mitch: Alright, maybe we can see if
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theres questions, I don't know if there are questions coming up from the online community or there are
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questions from the class here? Brian: Come on Natalie Alan: So this is the problem with 24,000
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students and no questions Mitch: No, we have one here, go ahead Natalie. Natalie: I do think some people
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are thinking about being creative with crayons or pencils or pens which might feel more direct and then say turtle art
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programming and what is it about programming and how do you think about creativity? It has something to do
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with powerful ideas, I'm not sure. Brian: Yeah, in what you were just saying it seems you are treating two
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distinctions as if they're the same when I think they're different. One distinction is narrative, not narrative
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distinction. The other distinction is the tinkering, not tinkering distinction. Alan: Uh no, but let me answer the question
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that just got asked. Seymour and I used to talk about this a lot, I think I've seen it less talked about now
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but maybe I'm in the wrong place. One of the most interesting observations that was makeable forty, fifty years
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ago but is incredibly makeable now is the sweeping generalization that among the least enlightened people
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you might ever meet on the planet are programmers. And so...I see a hand. Mitch: No, its okay, go ahead.
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Alan: Ok, so that was noticeable back then and the idea was yeah you can become incredibly enlightened by writing
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programs, this was kind of a standard doctrine of Marvin and Seymour when they were working together.
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Marvin talked about it at some length. Theres no question that you can use programming as a path to larger
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insights and yet these larger insights don't appear for most programmers thats patently clear. So the analogy that
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Seymour and I used back then, there was a saying of the '60s called Zen and the Art of Archery and it was
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all about just learning to shoot a bow and arrow isn't enlightening but in fact you can use it as a vehicle as you
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can use many other things that require concentration and learning and are difficult to do. Theres a point of view
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that you can hook onto this that can give you a different set of perspectives by the time you wind up doing this.
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The question was what is there about teaching programming, what is there about presenting different kinds
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of programming languages that could, what kinds of environments could you create for the learning of them
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that would actually lead to something that thought of programming the way that Marvin and Seymour did which
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was a new way of representing very important ideas that could not be easily represented any other way. So I think
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thats fallen by the wayside now. But you two guys I'm sure have some real interest in this still. Mitch: For sure, I think
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maybe one question is how to support this out there, maybe to each of you, Brian over here has done a lot with
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not just putting the software out there but trying to provide support around it to help engage people in that
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type of thinking. And maybe it would be great to hear from Alan about some of things you've done like the open
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school, as you said this doesn't just happen on its own. And how you support it with the right people. Brian, if you have
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something to say about the right ways to support it with concrete examples of things that are being done to
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support it. Brian: Partially to answer the question, partially to respond to what you're saying, you're pointing to
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that there are two good reasons to think about learning programming. One is a very instrumental reason. One of the
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things that Mitchel and I have found that a little bit of programming goes a really long way. That almost no matter
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what you're building, being able to write a short program really is a jet assist. The other thing that you're talking
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about is, programming is a way of organizing your thinking in a very broad, very deep way. And I guess for
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some of the things we've done recently, Natalie was asking specifically about Turtle Art, we're only Alan: Is Natalie
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here? Mitch: Yeah Alan: Yeh Natalie! Brian: I guess you can't see her. Alan: Sorry Brian, go ahead Brian:
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I half feel like the kid saying you can't see me now. What I was saying is a number of the things that we're doing
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certainly with Turtle Art and to a certain extent with Scratch, we really want to provide the jet assist of a little bit
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of programming. And what the actual microworld is about, its not about programming in the deeper sense
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that you're talking about. In Turtle Art's case its about making pretty static images, beautiful static images and
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in the Scratch case, you should say what you think it is. But it really isn't about touching on deeper ideas that
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came from the Marvin/Seymour view that included that. Mitch: Wait, not touch at all, touching on ideas about
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debugging, procedures, those are, its not just the..Brian: It should have said not focusing on rather than
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not touching. Alan: Yeah, I think this is the big issue of our time where we are now. Mitch: Alan, do you want
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to say a few things, because I do think its an important issue and one that would be, one that people are interested
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in, there needs to be a culture around it, how do you go about supporting that, again you've had experience
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with the open schools, its not just technology but the overall environment around it. Alan: I think, I'm not sure
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I've had any ideas that I didn't get from somebody else here but Montessori I think had a really great insight,
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she was a true genius, first woman to get a medical degree in Italy and she could see things other people
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couldn't see. But she realized that, and she was also a huge student of anthropology. One of the things she said
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was something that actually Seymour quoted in one of his first papers which is a little boy in Africa imitating
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his father by hunting squirrels where the father is out hunting antelopes is actually starting to participate in the actual
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behavior that he will be doing as an adult, whereas Montessori said that a little girl in a nurses uniform with
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a stethoscope is only participating in the form of being a doctor or a nurse not in the context. She said this is true
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with a lot of things in the 20th century and the twentieth century is only a few years old. Then she said
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we want children to grow up in embedded in the powerful ideas of the 20th century, in order to do that
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we have to have something different from their homes which were in the 15th century as far as she was
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concerned. So she wanted to make a real 20th century environment that embodied ways of thinking and doing
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that were the best of her time. So I think this environment, that had a huge effect on me in thinking
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about designing user interfaces that its not just having a command line interface but its actually doing media,
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that its building an entire environment because you're actually in the world multiple hours per day. And of course
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this is not a new idea of mine but I got a lot of it from Englebart who thats what he was trying to do to build
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a world, and people laughed at him, people are going to, what he wanted to have the interaction be efficient,
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several commands per second and people asked why, why put a learning curve on it. He said people are going
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to spend six hours a day on their computers and they laughed at him. But he realized that what we have
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actually is something not at all as well conceived as what Engelbart was thinking about and we are on the
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computers for six hours a day. So the way I looked at it was, that children are, you have to start where children are.
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This is an idea of David Ozabel, you start where they are and children are into stories, that is their best way
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of learning. So one of the things you have to do is have something like a story perspective to orient them, you have to have
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an environment. You have to have adults that embody these other epistomologies because if you don't have
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enthusiastic adults, this is why Adele Goldberg was such a factor at Xerox Park because she embodied the idea
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of a talented, creative, super intelligent woman and we got incredible response from the twelve year old girls
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that we brought in, they wanted to be like Adele. And if you think about all the motivational factors that young
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children respond to, they tend to be storylike and social and other kinds of things. Then the question is
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can you, its like teaching kids classical music, can you start getting them to see these things that are actually
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inventions, harmonic relationships that nobody suspected until the beginning of the 17th century. You have to
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start sifting them in because the adults love them and they play them with the children. So its the whole magilla
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, the whole deal. And I think this is the thing we haven't been able to put in our online.., but this is not a new idea.
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But remember long ago, Brian will remember, we used to say, if we could only put Seymour on the disk packs.
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Right because Seymour could lead, Seymour was the ultimate pied piper when he got in front of children,
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they just loved him, so if you just have that as a user interface then it would work. But Seymour didn't see
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himself as being that charismatic even though he had some inklings of it because he thought the Logo stuff
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or the Park stuff would sort of work by itself and it doesn't work by itself, you have to tie into what children
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are trying to learn. And just to finish off, Montessori said that, look children are driven by nature to master
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the environment that they're put into, thats their primary learning thing. So just make a total environment
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that includes artifacts and people embodying this stuff and you're nineteen steps ahead already. And this is what
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we haven't been able to do. You certainly don't see it if you go tracking the $100 laptop around the world, it isn't there .
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Mitch: Let's take another question coming from the community. Phillip you had something? Phillip: Yeah
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, we had one from the backchannel by a user called TL2 and he says please ask Alan to talk a little bit about the
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central form of thinking that he called systems dynamics and how that fits into the current discussion. Alan: Ok,
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so again none of my ideas are original so its always a pleasure to give credit. So there was a guy by the name of
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Ludwig Bertalanffy in the '30s and a guy earlier than that by the name of Alfred Korzybski who was really a character
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and a half who had a set of perspectives that he called general semantics. It was based on his view of what the
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20th century was all about in terms of thinking patterns and I found both of these by the way via science fiction
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books that I read as a teenager. I went to the library and looked them up. So the point here is that the , Korzybski's
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point was something arose out of the dynamic of science in the late 19th century. Maxwell again started looking
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at systems and biologists started looking at systems and as especially as biology got more and more understood,
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it was found to be systems within systems, some very very complicated like the endocrine system. And the
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interesting thing about systems is that most systems are only dynamically stable and so it started looking like
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you couldn't find stability in nature that even stuff we thought was statically stable was dynamically stable because
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they could be perturbed into a different state. And all of a sudden you really have a different perspective on most
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human knowledge. We could look at things as a systems point of view rather than looking at individual cases
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and this has a different set of things to look at, its got a different equivalent of mathematics and the neat thing
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is to the extent that we think this is important and I really do, because I think a lot of the confusions right now
-
are systems confusions. The computer is a godsend for being able to understand dynamic systems because it is
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the only thing that we, its a mathematics that enables us to deal with non-linear things that are in process and
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gradually get some insights about them. So when my ideas are forming based on Seymour, the two different
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things I did, even though I think they're a part of Seymour's agenda all along but he chose to stay more with
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mathematics. I thought it would be fun to try do Seymour like things with science so I poked around at that
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and then the system simulation idea was kind of directly what I was thinking, boy it would be fantastic to have children grow
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up being systems conscious. Mitch: And to just add, if they do that it goes beyond science, just understanding all
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sorts of other things in the culture. Natalie: Can you guys give more examples because I think some people
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are interested in this idea of microworlds and dynamic systems that you play around with. Give more examples
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maybe Brian and ..Alan: So the image that I show, I should have prepared it, it shows three circles with visible humans
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standing in front. One circle is the earth, another circle is full of people so the earth represents natural systems
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, the circle with people in it represents social systems, theres a self portrait of the internet in a circle that represents
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all of our technological systems and then theres us as a collection of systems. And you could think of a really interesting
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curriculum for children running over a number of years called the Systems We Live In and the Systems We Are.
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And now, I got this idea because I was on one of the matrix directorates at NSF which was called Environmental
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Research and Education. And the lingua franca at that table was systems. There were biologists, geologists,
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everybody had something different but everyone of us was concerned with the fact that these things were systems
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organized. So I started thinking about boy it would be really neat to use The Systems We Live in and The Systems
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We Are as a rubric and you could relate science and technology and engineering and epistomology to this
-
systems thing and use it as a lingua franca. Mitch: Well I do think when we first connected with each other Alan, was
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when I was working on Star Logo which was about kids experiencing systems..Alan: That had a huge, why don't
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you put it into Scratch, come on for crying out loud? Mitch: And we saw one thing that I think connected to
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both of us was that it was broad ranging and it wasn't just about, although you could do ant colonies or bird flocks
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but you could also do people, traffic jams on the highway or why housing patterns get segragated or all sorts of
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things from social systems as well. Brian: I think Natalie was asking for, can I give a concrete example of why systems
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thinking is important? Here's a very concrete example. Take a block of concrete and you want to move it over by
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a foot, what do you do? You push it over by a foot. Now imagine instead of a block of concrete you had a dog and
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you wanted to move it over by a foot, try pushing it over by a foot and it won't work. And what happens is, in any
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complex system which there are a lot of in the world, where you push and what happens, have a very very very
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complicated connection. Mitch: But the point of the question..Alan: Try it with cats..Brian: Beg your pardon?
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Alan: Try it with cats. Mitch: But the goal of microworlds is to create these worlds where you start to play with
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those ideas, playing with an ecosystem where you're adding some more rabbits and seeing what happens to a number
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of foxes or make the cars go a little faster and see where the traffic jams form or change the price in an
-
economic system and see how unemployment goes up or down. Alan: Mitchel, you know, I think your thesis was the
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best thing that has happened in this journey that goes back to the '60s because it was again one of these things
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that everybody knew except you did it. And do have it manifest, brought home, just how powerful being able to
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learn to start thinking, and as you found in your thesis, its not easy for the high school students you work with
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to actually take an other than god like view. Thats very hard to get down there and imagine yourself in the system
-
looking out and to me making that transition to what you can imagine is something that lets us imagine whats
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going on through us in a way that most people simply can't right now. Mitch: But I do think theres the multiple message
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there that people have all sorts of misconceptions, certain ways of thinking about these things that aren't so
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powerful but if we give the right tools they can start moving towards new ways of thinking about it. Alan: And
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by the way, tinkering with a system you better watch out because the most interesting thing about systems is
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that the nature of the stabilities are rather narrow so if you poke them a little bit they recover, if you poke them
-
a little bit more and you'll get a cataclysmic change and that non-lineararity I think is the thing you need to start
-
experiencing just as a way of thinking about when I poke this, if I push this little button like this wonderful
-
cartoon from the New Yorker that showed Reagan's bedroom and on the wall there were two switches on the
-
wall and one said lights and the other one right next to it said nuclear war. And off screen, you hear Nancy saying, "Can you turn out
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the lights, dear?". That's basically where we are right now. Mitch: I'm not sure I want to end on that image but
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it is time for ending. I do think its been great to have this wide ranging discussion of the nature of powerful ideas,
-
ways that we can foster and cultivate them and tools and cultures that we can build to help support them.
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So I really want to thank Alan for joining us and Brian to help spark our thinking. Hopefully this will lead to much
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lots more discussion both here for the local class at MIT, we'll go into our discussion now, in the upcoming week
-
hopefully in the discussion groups will continue to have discussions in following up on some of the things we've
-
been talking about around the idea of powerful ideas. I want to end on a quick look ahead to next week. Next week,
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the theme of the week will be open learning. And Phillipp Schmidt whose been coordinating the overall infrastructure
-
for this experimental course will be taking the lead next week and bringing in Mako Hill who has been a real
-
leader in the open source movement. They'll be talking about drawing on inspiration from the open source movement and open
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source software, what it means to bring those ideas to learning. A couple things, we'll be passing this along,
-
in the emails and online, we'll just say very quickly some of the things we'll be asking for as activities. We'll
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have an activity, Phillip do you want to come up and just say a few things about it? Phillip: Sure. The theme is open
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learning and one of the most powerful experiences people have in these open learning communities is really
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the interchanging the role of teacher and learner and when you help someone else learn, you may learn new things
-
about the process about the things you're teaching yourself. And when you learn from someone else you may
-
develop a relationship with them that goes beyond just the factual knowledge that you're developing. I think the
-
best way to do that and understand that is to experience it, so we've thought of two ways of doing it. This is definitely
-
for the online components, the local students have the advantage that you'll be able to do more in depth versions
-
of this. But for the online components, we thought a good starting point would be to ask people to go to
-
Stack Exchange which is a series of question/answer forums and pick a forum that they're interested in. And
-
theres a wide range, theres photography, theres writing, pick one that they're interested in and create an
-
account and post a question that they are trying to get an answer to and also look at other people's questions
-
and post answers to their questions. And then reflect on the experience. We're going to send some questions
-
to sort of support the reflection. And then secondly, if people want to go deeper, we will make available some kind of a matching
-
service where people can say I'm willing to teach someone this and people can also say I'm interested in learning
-
something else, we're going to try to match people up. It will be a low tech way, it will be a little bit messy but for people
-
who want to go deeper, I think that will be an interesting experience as well. And just one extra addition
-
we have this week is we're going to have a mid-week chat, we want to find new ways to be able to engage interaction among
-
people in the community but also people on the staff here. So we're going to try it out this week, up on the screen we
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see this Wednesday, March 6 from 7:00 p.m. - 8:00 p.m., Boston time. Also, we're going to try a different time of day
-
maybe we'll reach some different people who can't join us on Monday mornings here. So Wednesday from 7:00 p.m. -
-
8:00 p.m., the same backchannel chat, we'll have an online chat with some of the staff from the course will
-
also be involved too. You can have an ongoing conversation about this week's theme of open learning
-
or any of the ideas from the course. We'll give that a try as part of our continuing experimentation. So please
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feel free to join on Wednesday otherwise we look forward to seeing you next Monday for the next session
-
focusing on open learning for the next session on Learning Creative Learning. Thanks a lot and thanks again
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to Brian and Alan for joining us this week. See you next week.