Strategy for adaptive learning on the set of tasks marked by the knowledge necessary for their solution

Abstract

An adaptive learning strategy based on a graph of tasks (questions) labeled with possible semantic errors is described. The strategy allows selecting the next question and evaluating the student’s knowledge depending on the sequence of correct applications of the subject area laws and errors and does not depend on the subject area. The strategy as a module of the CompPrehension intellectual training system was implemented and proved its working capacity. Keywords adaptive learning, learning to mastering the skill, assessment strategy, intelligent learning system