Tailored Solutions to Problems Resolution â?? An Experimental Validation of a Cognitive Computational Knowledge Representation Model

Mehdi Najjar, Andre Mayers, Kouihong Vong, Sebastien Turcotte


In spite of an increasing development of virtual and distant applications which use the advantages of multimedia and the Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically adapted to each user needs. This paper proposes a knowledge representation model which judiciously serves the remediation process of an intelligent learning environment in interaction with students during virtual learning activities. By means of experimental results obtained thanks to practical tests, we show that our knowledge representation model facilitates the planning of a tailored sequence of feedbacks that significantly help the learner.

Full Text:


Copyright (c) 2017 Mehdi Najjar, Andre Mayers, Kouihong Vong, Sebastien Turcotte

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo