Li, H.*, Zhang, S.*, Lee, S.*, Trexler, M.*, & Botelho, A. F.* (2025, October). LOGEN AI: Implementing a Transparent Human-AI Collaborative Tool for Enhanced Instructional Design. In the Association for Educational Communications and Technology (AECT) International Convention 2025, Las Vegas, NV, USA.
LOGEN AI builds upon the ARCHED framework (Li et al., 2025), a human-centered architecture for transparent, responsible, and collaborative AI-assisted instructional design. ARCHED provides the theoretical and infrastructural foundation for LOGEN AI’s design, emphasizing explainable reasoning, ethical alignment, and meaningful human-AI co-creation in educational contexts.
Li, H.*, Fang, Y., Zhang, S., Lee, S., Wang, Y., Trexler, M., & Botelho, A. F.* (2025, March). ARCHED: A human-centered framework for transparent, responsible, and collaborative AI-assisted instructional design. In Proceedings of the iRAISE 2025: Innovation and Responsibility for AI-Supported Education at the 39th AAAI Annual Conference on Artificial Intelligence (AAAI 2025), Proceedings of Machine Learning Research, 273: 4–104. Philadelphia, PA, USA. https://doi.org/10.48550/arXiv.2503.08931
We specialize in developing AI-enhanced learning prototypes and tools. We are always open to exploring new collaborations.
The VIABLE Lab (Versatile Innovations in Affect Behavior and Learning Engineering) at the University of Florida College of Education is dedicated to developing and deploying cutting-edge technology to study student learning across diverse educational contexts.
