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Best Paper Award at ICWL‘20

On November 08, 2020, Alexander Neumann, Peter de Lange, Ralf Klamma, together with their colleagues Norbert Pengel and Tamar Arndt from the BMBF-funded tech4comp project, received the Best Paper Award at the 19th International Conference on Web-based Learning (ICWL’20) for their paper “Intelligent Mentoring Bots in Learning Management Systems - Concepts, Realizations, Evaluations”. The ICWL’20 took place from 22-24.10.2020 in Ningbo, China and was organized as a video conference. The paper was presented in the learning analytics session.


Mentoring students in online courses is an essential task to keep students on track. Often, they ask simple questions or have repetitive issues. However, due to a high resource demand, this task is difficult to achieve on a massive scale. Digitizing mentoring processes has a high potential to fill this resource gap. In this paper, we present the concept, implementation and evaluation of intelligent mentoring bots. These bots are implemented as chatbots that can be integrated into learning management systems. With these bots, we enable 24/7 mentoring support for students. Students can ask Frequently Asked Questions (FAQs) regarding their general studies or about one of their current classes. Further, we integrate external learning applications with the bots to provide personalized feedback to students. The realization of the chatbots is based on Natural Language Understanding (NLU) to identify the respective intent of the student. We apply those chatbots as an additional offer in university courses and evaluate them in this context. We see the potential of bots as a scalable solution for mentoring in online courses.

Paper available on ResearchGate

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