By Topic

The adaptive learning system with CAM indicators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Khoukhi, F. ; Fac. of Sci. & Technol. Mohammedia, Comput. Lab., Univ. Hassan II Mohammedia, Mohammedia, Morocco ; El Ammari, M.

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.

Published in:

Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on

Date of Conference:

21-24 March 2012