Learning Style in a Personalized Collaborative Learning Framework

Abstract

This paper aims to discuss learning style implementation into an e-learning environment. The relationship between learning style and adaptive system is identified and connected. Elements gained from traditional learning style researches are adapted into e-learning system to support Personalized Collaborative Learning (PCL) online learning environment. PCL embed Human Computer Interaction (HCI) elements in its environment. Learner model in terms of learning style, learners’ needs and references are smaller, hence it should be broadened to integrate more personalized features into an adaptive system. Therefore, knowledge/materials sharing, question well formation and freedom option support the design of depth personalization into adaptive system like iYu to balance between Personalized Learning Environment (PLE) and collaborative learning. Apart from that, theories overlapping, generalization and time constraits are among the factors that may cause failure to e-learning system effectiveness. In addition, learners’ learning style is found to be dynamic during a learning process or self-reflection occurence in PCL framework. Results showed that learners were able to reflect and discover themselves with the presentation of iYu user interface.