Project Goal
To develop and test InkSpire, an AI-enhanced web application that helps college instructors create scaffolded reading assignments to improve student engagement in science fields.
Objectives
The project integrates established disciplinary literacy frameworks with AI capabilities to create InkSpire. Through a pilot study in college-level science classrooms, we will investigate how this AI-enhanced approach affects instructors’ design practices and students’ reading engagement, skills, and dispositions.
Publications
- Liang, Y., Wang, R., & Chen, B. (2026). InkSpire: An LLM-Powered System for Designing and Generating Disciplinarily Aligned and Context-Aware Reading Scaffolds. In the Proceedings of the Seventh International Workshop on Intelligent Textbooks 2026, Seoul, Republic of Korea, pp. 51-59.
Acknowledgement
This project is funded by the Alfred P. Sloan Foundation (#G-2025-25241).
