A Qualitative Evaluation of an AI-Based Study Progress Forecast

Abstract

This paper presents the development and evaluation of a first prototype of an ai-based study progress forecast. This service is integrated within a conversational agent and can be used by students to show them their current study progress. First, implications for the set-up of a forecast application from the literature are described. Based on the requirements identified in the literature and from the project itself, a lightweight formula was created that enables calculating the remaining study time. In order to assess preliminary feasibility and perception of the model prototype, a qualitative focus group discussion was conducted with five participants. Overall, the study progress forecast was well received by the participants, especially the offer itself as well as the promptness of the service were highlighted.

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Titel A Qualitative Evaluation of an AI-Based Study Progress Forecast
Medien Artificial Intelligence in Education Technologies: New Development and Innovative Practices.
Verlag Schlippe, T., Cheng, E.C.K., Wang, T. (eds); Springer, Singapore.
Band 190
Verfasser Sudarshan Kamath Barkur, Mascha-Lea Fersch, Sophie Henne, Prof. Dr. Sigurd Schacht, Betiel Woldai
Seiten 3-13
Veröffentlichungsdatum 09.11.2023
Projekttitel DIAS
Zitation Kamath Barkur, Sudarshan; Fersch, Mascha-Lea; Henne, Sophie; Schacht, Sigurd; Woldai, Betiel (2023): A Qualitative Evaluation of an AI-Based Study Progress Forecast. Artificial Intelligence in Education Technologies: New Development and Innovative Practices. 190, 3-13. DOI: 10.1007/978-981-99-7947-9_1