LLM-based training using personalized case examples

Revolutionizing education: A case-based learning coach powered by LLMs transforms abstract concepts into interactive, personalized experiences!

Situation

This project aims to revolutionize how students learn abstract concepts by leveraging Large Language Models (LLMs) to create personalized, interactive, and practical case-based learning experiences. By allowing students to specify their interests, goals, and learning needs, the system generates tailored scenarios that make complex ideas more relatable and applicable to real-world contexts. Initially focused on psychology students in methodology courses, the project explores how adaptive learning tools can boost engagement, comprehension, and outcomes. The findings will pave the way for innovative, scalable educational solutions that blend cutting-edge AI with modern pedagogical approaches.

Course of action

We imagine the following scenario: Learners are guided step-by-step through applied learning scenarios by the case-based learning coach. They will be prompted to explain their reasoning to the coach, much as they would when talking to a tutor or teaching a peer. The LLM coach will act as an interactive tutor, asking follow-up questions when explanations are incorrect or incomplete and guiding students towards a deeper understanding. The project consists of three phases: development of the LLM coach, expert validation and preliminary student evaluation, and an empirical study.

Result

The project aims to assess both the possibilities and limitations of LLM in generating engaging and relevant real-world examples for applying abstract methodological knowledge for training purposes. By providing students with diverse learning opportunities tailored to their interests, the project seeks to enhance their understanding and engagement with abstract learning content.