期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：56
期号：1
出版社：Journal of Theoretical and Applied
摘要：In classical teaching, the teacher can supervise his learners through their writings, dialogues and their behaviors. He has the possibility to evaluate them from their productions during the activities and can adapt or modify parts of the course, if it is necessary to start new chapters. The adaptation of educational contents to the learner's profile in a Computing Environment for Human Learning (ILE) is one of the most complex problems to solve. Indeed, the different profiles of learners and their heterogeneity and their different learning styles, returns the development and evolution of such systems difficult. The current goal of several studies is to follow and understand the behavior of the learner uses an ILE during a learning session through its traces. Several virtual learning environments presented on the web, exploiting traces to provide learners with individualized learning space. Unfortunately, these environments do not always offer the possibility to adapt courses to the profile of the learner. In a learning situation, we cannot predict with certainty the plan of a learner or the goal that he seeks to accomplish more during his navigation, we cannot directly observe what a learner knows or does not know, but only to estimate it in a very imperfectly way through their actions and interactions with the system. These traces of the Action types are analyzed and exploited in order to provide indications about his behavior during the learning process. The objective of our work is to propose a representation model which traces to determine indicators Cognitive, Activity and Motivation of the learner during the learning process. The exploitation of these indicators will allow us to propose a hybrid adaptive strategy (automatic or manual) to the learner profile.
关键词：Traces; Indicator; Learner; profile; CAM model
