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An experiment in learning algebra with an intelligent learning environment
Authors:Anh Nguyen-Xuan  Jean -Francois Nicaud  Jean -Michel Gelis
Institution:(1) Laboratoire de Psychologie Cognitive, CNRS-Université de Paris 8, France;(2) Laboratoire de Recherche en Informatique, CNRS-Université de Paris 11, France
Abstract:This paper presents a new prototype of an intelligent learning environment and the results of an experiment in learning by problem solving. Forty-six French secondary school students solved problems of polynomial factorization by interacting with the learning environment during four forty-five-minute sessions. The intelligent learning environment is a new version of the APLUSIX system, called APLUSIX/M0-V2, that has been implemented on a Macintosh computer. This system checks the validity of the actions a student wants to perform, tells the student why a query is invalid, does the calculations for the student, and gives advice if asked for help. The objective of the learning experiment was to enable students to acquire (i) knowledge in matching formal rules of transformation with a given expression; and (ii) heuristics of choice between possible transformations. The results confirmed the existence of several different levels of matching knowledge as well as several different student learning paths in the acquisition of matching knowledge. Heuristics appeared to be fairly easily learned with the APLUSIX learning environment.
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