Social support based multi-agent framework for designing an e-learning course

Abstract

Designing an e-learning course needs to be social support based in order to cater to the requirements of the society. Recommendations from social representatives need to be incorporated into the process of course formation and updation. This paper aims to present a distinctive multi-agent framework that integrates a two-tiered social support structure for designing an e-learning course. In tier I, the system employs concept mapping technique to gather user opinions regarding the desired topics to be included in the pilot course. Tier II gathers recommendations from concerned social groups and integrates it with student assessment to incorporate them in the subsequent versions of the course. The cumulative feedback is prioritized on the basis of relevance, computed as a function of several factors. The system produces a prioritized list of implementable recommendations. Blending these recommendations into the course structure, through cycles of improvisations, helps in preventing obsolescence and enhances the quality of the e-course.