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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.


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.


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