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) befindet sich 16th International Conference on Intelligent Tutoring Systems 2020 (ITS 2020) June 9 Athens Greece CEUR 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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imhe_2020_paper_3(4).pdf (pdf, 1 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence