Abstract
In February 2020, 500 h of video were uploaded to YouTube every minute, including numerous videos from the education sector [19, 20]. If you are looking for suitable teaching or learning videos, for example, this mass of videos makes it much more difficult to select. In the course of an implementation project with Bachelor students, teaching videos in the German language on the topic of mathematics on YouTube were examined and how they can be found for teachers and learners. From the results of this research, a database of selected videos and the corresponding search terms and difficulty levels was created in an exploratory manner. In addition, a chatbot was implemented to support users in their search for learning and teaching videos. The initial analysis showed that there are only a dozen channels that provide the majority of learning content for the subject of mathematics. The technical solution shown is able to extend this result and suggest existing but less known educational videos. The present study thus provides both a theoretical and practical complement to user-centred teaching–learning scenarios.
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Zobel, T., Steinbeck, H., Meinel, C. (2023). Curated Recommendations of Teaching and Learning Videos on YouTube with the Help of a Chatbot. In: Guralnick, D., Auer, M.E., Poce, A. (eds) Creative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education. TLIC 2023. Lecture Notes in Networks and Systems, vol 767. Springer, Cham. https://doi.org/10.1007/978-3-031-41637-8_57
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