Abstract
The emergence of Generative Artificial Intelligence (GenAI) offers transformative opportunities to enhance Personalized Learning (PL) in higher education. This research-in-progress proposes leveraging GenAI to advance PL by using Conversational Agents (CAs) designed through prompt engineering. A first proof-of-concept is demonstrated in a 3D model of the Scrovegni Chapel (Capella Arena) as a learning environment tailored for a Renaissance and Baroque art course at the Open University of Israel. By crafting prompts for synthetic students, we show how we can train the required CAs before real students are presented with self-paced 3D virtual reality (VR) learning environments. Synthetic learning data is presented as a new resource for Learning Analytics (LA) that supports pedagogical design.
| Original language | English |
|---|---|
| Pages (from-to) | 35-40 |
| Number of pages | 6 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3995 |
| State | Published - 2025 |
| Event | Joint of LAK 2025 Workshops, LAK-WS 2025 - Dublin, Ireland Duration: 3 Mar 2025 → 4 Mar 2025 |
Bibliographical note
Publisher Copyright:© 2025 Copyright for this paper by its authors.
Keywords
- 3D Models
- Conversational Agent (CA)
- Generative Artificial Intelligence (GenAI)
- Learning Analytics (LA)
- Personalized Learning (PL)
- Synthetic Learning
- Virtual Reality (VR) Learning Environments