The Unfolding of Learning Theories: Its Application to Effective Design of Collaborative Learning

Although artificial intelligence has been successfully introduced to enhance Education through technologies in the past few years, major challenges still remain. One of them is how to represent the “knowledge” of intelligent authoring systems. To represent the knowledge of authoring systems to support collaborative learning is particularly challenging because it is based on various learning theories and given the complexity of group learning where the synergy among learner’s interactions affects the learning processes and hence learning outcome. The main objective of this work is to introduce an ontological infrastructure on which we can build a model that describes learning theories and to show how we can use them to develop programs that provide a graphical visualization of learning theories and intelligent guidance for an effective design of group activities.