Using AI Techniques for Building Personalized LMS Learning Modules

Abstract

With the release of ChatGPT, Pandora’s box of generative AI has been opened, and the new technology is here to stay. This also impacts academic education, where it bears certain challenges while also providing new opportunities. Students and educators alike will have to adapt to the newly available technology and find ways to use it in a meaningful and profitable way. One way to make good use of generative AI in the classroom is to build personalized learning environments for students that adapt to their individual progress and enhance the learning process with technologies that are tailored to the modern students. In the presented work, two of these technologies and the concept of spaced repetition are used to build a personalized learning module within the learning management system (LMS) “ILIAS”. One of the tools used is an AI chatbot based on the ChatGPT API that is trained on the lecturer’s actual course materials and enhanced with answers from ChatGPT itself. The other technology improves educational videos by providing learners with a button to pause the video at any time and receive additional explanations about the content currently discussed, while considering the context of the entire video so far. These two AI tools are then provided in combination with a spaced repetition algorithm, which creates a personal learning environment that is highly tailored to the individual learners’ needs.

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