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Auto-generated language learning online courses using generative AI models like ChatGPT

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2023

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Gesellschaft für Informatik e.V.

Zusammenfassung

Generating online courses is always a trade-off between possibilities, technical limitations, and quality. State-of-the-art generative models can assist teachers in the creation process. However, generating learning materials is highly complex. Hence, teachers mainly create them manually. In this paper, learning content for a concrete micro-learning template is generated focusing on the field of language teaching. It intends that learners can find correct responses by logical thinking. Teachers provide a topic as input. Then, the approach asks for the required information using GPT3.5 with instructional prompts and combines responses to form a language learning unit. The quality of the resulting learning content, focusing on correctness, and appropriateness, is evaluated and discussed to examine the practicability of the tool, and alternatives are given.

Beschreibung

Rüdian, Sylvio; Pinkwart, Niels (2023): Auto-generated language learning online courses using generative AI models like ChatGPT. 21. Fachtagung Bildungstechnologien (DELFI). DOI: 10.18420/delfi2023-14. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-732-6. pp. 65-76. Best-Paper-Kandidaten. Aachen. 11.-13. September 2023

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