Publication
Analysis of discussion forum data as a basis for mentoring support
Jakub Kuzilek; Milos Kravcik; Rupali Sinha
In: Ilona Buchem; Mikhail Fominykh; Ralf Klamma; Milos Kravcik; Viktoria Pammer-Schindler; Elvira Popescu; Fridolin Wild (Hrsg.). Joint Proceedings of Workshops IMHE 2020 and WELL4SD 2020. International Workshop Intelligence Support for Mentoring Processes in Higher Education (IMHE-2020), located at 16th International Conference on Intelligent Tutoring Systems 2020 (ITS 2020), June 9, Athens, Greece, CEUR, Vol. 3046, CEUR Workshop Proceedings, 2021.
Abstract
Supporting mentoring processes in higher education is a rel-
evant and challenging aim. Meta-cognitive, emotional and motivational
aspects play a crucial role here. Big data can help to recognize the af-
fects of mentees, to react accordingly and to make the mentoring support
scalable. In our study, we processed data from university discussion fo-
rums utilizing text and sentiment analysis. The results suggest that this
approach can raise mentors' awareness of the activities in discussion fo-
rums, but limitations need to be considered. Evaluations with real users
can help to develop these approaches further.