The feedback model in peer-to-peer based active e-learning

E-learning has utilized the power of the Internet in education for many years now. However, the current client-server model in e-learning lacks an effective feedback system that is one of the essential elements in any successful educational model. The crude feedback in this client-server model focuses primarily on providing users with the grade and/or result of each test. With the advent of peer-to-peer (P2P), a disruptive technology that has its footprint in many Internet applications ranging from file sharing in Kazaa to a P2P telephony system with Skype, coupled with the advance in data mining techniques, more creative and helpful feedback models in e-learning can be established. By combining the power of the Internet and data mining technology, this paper proposes an educational feedback model in P2P based active e-learning that provides three feedback categories: intelligent feedback, statistical feedback, and interactive feedback.