A Fuzzy Rule Based Intelligent Advisor for Self-Paced Learner in e-Learning Environment
This paper presents a scheme for intelligent advice generation with the help of a fuzzy rule base, meant for a self-paced learner in an e-Learning environment. It employs a fuzzy machine that is fed with performance parameters e.g. score and time pertaining to a computer aided assessment of learners learning achievement. The fuzzy machine processes these performance parameters with the help of a fuzzy rule base to produce the crisp measures of the learners cognitive states in terms of knowledge, understanding and skill. On the basis of these defuzzified crisp diagnostic parameters advice is generated for the learner to suggest his future course of action targeted towards achievement of his learning objectives.
Intelligent Tutoring Systems (ITS) Self-paced learner Advice generation fuzzy systems Learning achievement
Prasenjit Basu Samir Roy
A.K.Choudhury School of Information Technology Colleges of Science, Calcutta University 92 A.P.C Roa Department of Computer Science & Engineering National Institute of Technical Teachers Training & Re
国际会议
上海
英文
302-307
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）