The adaptive learning system with CAM indicators

Abstract

Most of the current adaptive systems of learning treat the adaptation of the educational sequences according to level of knowledge of the learner and its preferences. However, these systems have serious limitations: they take into account neither the motivation, nor the culture nor the characteristics of the activity of the learning of the learner. its orientation is almost nonexistent and its follow-up throughout the learning process may be low. Accompany the learning process in the context of Computer Human Learning Environment (CHLE) is a difficult task. it requires constant adjustment during activity. In an attempt to understand the dynamics of learning, it exploits the trace analysis. In this work, we propose an approach that manipulates indicators from the trace file to develop a model named CAM (Cognitive; Activity, Motivation) to monitor and guide the learner in the learning process. © 2012 IEEE.