On Improving Learning Outcomes Through Sharing of Learning Experiences

The sharing of experience in eLearning has recently attracted the attention of researchers to improve efficacy of eLearning in higher learning especially in the absence of face-to-face contact with educators, lecturers, facilitators and tutors. We propose the recommendation of learning experiences (LEs), a type of tacit knowledge, from a learner to other learners by capturing LEs in the form of events of interactions which are similar to sequence of events. The sequence of events is treated as basket data and analyzed using sequential data mining to determine the patterns of learning. Collaborative filtering recommendation is introduced to recommend appropriate LEs to peer learners for the improvement of learning.