Abstract
Available online trainings and learning contents for teachers in adult and continuing education (ACE) are scattered across many learning platforms. We presume great synergies by enabling teachers to combine learning content of multiple ACE platforms in their individual learning paths and receive verifiable credentials as proof of competency afterwards. In our three-year consortium research project KUPPEL, we investigate how to enable personalized and adaptive cross-platform learning for teachers in ACE. KUPPEL will connect existing ACE platforms using a multi-agent system in a cloud. Each learner will be represented by a learner agent that will continuously give personalized recommendations for content and learning peers. In this paper, we describe the main components of the KUPPEL cloud, i.e., the multi-agent system, the recommender system and self-sovereign identity and verifiable credentials with blockchain technology. With our work, we seek to ease access to online learning resources, improve learning outcomes and make online learning more attractive to learners.
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Acknowledgments
This contribution originates from the research project KUPPEL (KI- unterstützte plattformübergreifende Professionalisierung erwachsenen-pädagogischer Lehrkräfte), funded by the German Federal Ministry of Education and Research (BMBF), ref. no. 21INVI0802, 21INVI0803, 21INVI0805.
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Krause, T., Gösling, H., Digel, S., Biel, C., Kolvenbach, S., Thomas, O. (2022). Adaptive Cross-Platform Learning for Teachers in Adult and Continuing Education. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_24
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DOI: https://doi.org/10.1007/978-3-031-11647-6_24
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