Recommendation Strategies for Promoting eLearning Performance Factors for All

Contents

Personalized inclusive eLearning requires a dynamic support in terms of recommendation strategies that combines design time and runtime approaches. This support is to be provided by standard-based open learning management systems. In this paper, we identify different situations during the delivery of a course based on the Collaborative Logical Framework approach and propose when to recommend and what recommendations are to be provided to the learners to improve their performance by addressing eLearning critical factors. Expert evaluations and empirical studies maintain this work.