Papert's philosophy is "revolutionary rather than reformist" p. Students are exposed to a range of potentially arbitrary labels: Seymour Papert uses "learning to ride a bicycle" to make more concrete "the idea of studying learning by focusing on the structure of what is learned" p. The four star parts, for me, are anecdotes about how LOGO works towards reaching his goals. But Papert argues that the computer in particular is a likely panacea. 
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Abstract ideas can be seen in action and even grasped as any other natural object. They're fun but not so inspirational. Do you notice a thing in common among these examples?
Professor Seymour Papert
Computing, science and maths 2 31 Oct 26, But I also wondered how much of my anti-algorithmic-thinking view was just viewing CS as bashy and math as elegant — after all, whenever Papert spoke of implementation via math instead of CS, I had no issues. There's certainly a lot more to chew on in these parts, and I need to think more and read it again. This is a fascinating book. Do students just chalk the existence of such models mindstormx magic? There's even rumours of extending this ban via international trade agreements that would bind national governments so that even if citizens voted to undo these bans, that they would be cut out of the international economy for their doing so.
Principles of mathetics "illuminate and facilitate" learning: If this way of looking at intellectual products were generalized to how the larger culture thinks about knowledge and its acquisition, we all might be less intimidated by our fears of "being wrong. He continues drawing more connections between good learning and programming: Especially when we're talking children, "the purpose of working on the problem is sdymour to get the right answer, but to look sensitively for conflict between different ways of thinking about the problem".
Papert remains loyal to the Piagetian theory of cognitive development throughout the text. Tinker with something abstract, see the results in the real world. Computers encourage experimentation, problem-solving, and iterative attempts at a problem until the desired outcome is finally achieved.
Although lip service has been paid to the importance of sicence and society, the underlying methodology is like that of traditional education: Yet in a system centered around test results and measurable outcomes, Piagetian learning is all but ignored. Which is critical, of course, to building on these ideas: All of those classroom hours, completely wasted Piaget's ideas have paper toward the knowledge-based theory of learning" that Papert describes p.
In my experience, the fact that I ask myself to 'think like a computer' does not close off other epistemologies. It was in his laboratory that children first had the chance to use the computer to write and to make graphics to represent geometrical and mathematical concepts.
It's worth noting that the book was originally published in I wanted something more concrete. The reader is introduced to the Turtle environment, a programming application that teaches kids basic geometry.
Mindstorms: Children, Computers, And Powerful Ideas
The book is about children, but the "ideas" are relevant to "how people learn at any age" p. There was a dialogue that was basically a shorthand for the larger details of the debate found in Galileo Courtier.
It is about using computers to challenge current beliefs about who can understand what and at what age. The Logo programming language was conceived, researched, created there, as were the first children's toys with built-in computation such as Lego-Logo.
Usually, the term describes the study of the conditions of validity of knowledge. This research led to many firsts.
Papert's contributions go beyond the field of education. Learn about learning itself. It kind of makes me wish I had more and freer access to children who might be the source of important questions that can lead us to have a deeper understanding on issues like, say, morpheogenesis. Mindstorms presents a deep, fundamental problem in the education system of now, and provides a grounded toolkit and beautiful vision to construct what education could become.
The canonical work on designing programming systems for learning, and perhaps the greatest book ever written on learning in general, is Seymour Papert's 'Mindstorms.
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