Details
Publications
- FirstAuthorLastName
- Bhowmik
- FirstAuthorName
- Saptarshi
- Title
- Evaluation of an LLM-Powered Student Agent for Teacher Training
- Year
- 2024
- Abstract
- As technology continues to advance, there is a growing interest in exploring the potential of generative agents and large language model (LLM)-powered virtual students to revolutionize the field of education. In this work, we present Evelyn AI, a LLM-powered virtual student conversation agent that we developed for pre-service teacher training in a virtual environment. Students powered by Evelyn AI exhibit varying baseline conceptual understanding levels, dynamic cognitive-affective states, and short-term memory. These features enable personalized, adaptive training and promote a more engaging and immersive learning experience for pre-service teachers. We describe the design and implementation of Evelyn AI, and report results of alpha testing to assess the utility of Evelyn AI for pre-service teacher training.
- Link
- https://link.springer.com/chapter/10.1007/978-3-031-72312-4_7
- Type
- EmpiricalPaper
- CreatedByUserId
- 4236c42d-d110-4ac9-8c50-12518405be60