The influence of memory depth on the effectiveness of student's learning activities to solve problems

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Iterative learning process is modeled by a sequence of finite homogeneous Markov chains. This allows identifying the influence of memory depth on procedural characteristics of learning activities of students. The article considers the relation between the labor effort of task completion on designing images of spatial objects and the average time of decision-making on right and wrong actions depending on a task number.

Learning activities, markov chains, structure, puzzles, learning actions, labor effort, decision-making time, the parameter of memory depth

Короткий адрес: https://sciup.org/144154057

IDR: 144154057

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