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A study of a group of elementary school students learning to control a computer‐implemented Newtonian object reveals a surprisingly uniform and detailed collection of strategies, at the core of which is a robust “Aristotelian” expectation that things should move in the direction they are last pushed. A protocol of an undergraduate dealing with the same situation shows a large overlap with the set of strategies used by the elementary school children and thus a marked lack of influence of classroom physics training on this student's naive physics. The data from these two studies are pooled and elaborated into a “genetic task analysis” of how one might come to understand Newtonian dynamics as a more or less natural evolution from the naive state.
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Andrea A. diSessa (Fri,) studied this question.
www.synapsesocial.com/papers/6a096b9559b902245b45be61 — DOI: https://doi.org/10.1207/s15516709cog0601_2
Andrea A. diSessa
Cognitive Science
Massachusetts Institute of Technology
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