AI in Education

This project aims to revolutionize learning experiences by integrating advanced AI technologies into various educational contexts. This innovative initiative explores the potential of AI to enhance student engagement, personalize learning paths, and provide targeted support across multiple disciplines. Key components of the project include intelligent virtual assistants designed to aid in language acquisition and comprehension, as well as AI-powered teaching assistants that can supplement traditional instruction methods. These AI tools are being developed to adapt to individual student needs, offering tailored guidance and resources to optimize learning outcomes. By leveraging machine learning algorithms and natural language processing, the project seeks to create more interactive and responsive educational environments. The goal is to empower both students and educators with cutting-edge AI solutions that can address diverse learning challenges and foster more effective educational practices.

Director

• Jinho Choi - Associate Professor at Emory University

Publications

1. Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load. Han, J. and Choi, J. D. Proceedings of the ACL Workshop on Innovative Use of NLP for Building Educational Applications, 13 pages, 2025.
2. D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models. Byun G. and Choi, J. D. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL): Findings, 2025.
3. Enhancing Task-oriented Dialogue Systems Through Synchronous Multi-party Interaction and Multi-group Virtual Simulation. Paek, E. S.; Fan, T.; Finch, J. D.; Choi, J. D. Information: Feature Papers in Artificial Intelligence 2024, 2024.