Consideration on Learning Analytics Using Discussion Process Analysis Tool for Electronic Bulletin Board

Abstract

Electronic bulletin boards are utilized in various ways in modern society. These days, researches related to data science with vast data accumulated in bulletin boards or learning analytics in educational institutions are increasingly demanded. This study analyzed targeting the data written into the electronic bulletin board for information sharing used by the student staffs who we are collaborating to make continuous improvement of an active-learning classroom created at a technological college. Discussion process visualization system was used for this analysis. Various analyses of the data have been in the progress already, and we conducted network analysis this time from the viewpoint of multi-vocality, which has been noticed in recent years. Network analysis enables to visualize change in how people interact with each other based on data and also analyze interaction or chronological changes between participants. We particularly focused on the collective cognitive responsibility of the student staffs from the interaction at the bulletin board and carried out the analysis.