Analysis on Online Learning Environment using Process Mining Technique for Personal Knowledge Management Mapping

Abstract

As proven in recent research on personal knowledge management (PKM) processes in online learning environment, this study took the initiative to prove that these processes happen in the said platform by reducing the biasness in respondents’ feedbacks. This paper proposes the usage of process mining technique to discover the PKM model in real online learning platform, by analysing the event logs data retrieved from two-semester duration of academic calendar. The focus of this paper is on how the online activities being mapped to the PKM processes, in which the GUSC Model has been used as the appropriate model to represent PKM. GUSC Model is based on the common processes of get knowledge, understand knowledge, share knowledge and connect to knowledge source, as proven to be construed at granular level in intelligent multi-agent system. Since there was a gap between the unconfirmed reality of the GUSC processes in online platform and the construed GUSC processes at intelligent software level, this study significantly contributes to the closure of this gap with its results and findings. It is discovered that PKM model does exist in online learning environment, with the right mapping of the online activities to the GUSC processes.