Context-Awareness in Pedagogical Resources Recommender System for Teachers

In today's fast-paced world, teachers seek continuous improvement for their courses to match their context using e-learning systems. With the aid of technologies, teachers have access to vast amount of resources which requires guidance in selecting appropriate pedagogical resources according to their context. Pedagogical resources recommender system should take into account this context to offer best recommendations dedicated to this user-teacher's context. This paper explores the impact of context-awareness in enhancing the performance of pedagogical resources recommender systems, focusing on three main approaches: contextual pre-filtering, contextual post-filtering, and contextual modeling. This paper proposes an enhancement to the context-awareness of a 2D pedagogical resources recommender system by integrating the contextual modeling approach into a collaborative-filtering recommendation technique. The evaluation of the proposed approach showed a significant improvement of recommendation accuracy compared to the contextual pre-filtering and post-filtering approaches.