Jonathan Tullis
Note: Title was current at time of award and may have changed.
Harnessing Generative AI to Benefit Student Learning
Generative Artificial Intelligence (GenAI) tools like ChatGPT are rapidly changing how students study—but we don’t yet know when these tools enhance learning and when they might replace it. This project investigates whether GenAI can promote deeper learning in college students across chemistry and general education courses. Through five experiments, we will test whether GenAI can improve concept mastery and problem-solving by generating practice questions, feedback, and adaptive instruction for students. We will use these findings to develop, pilot, and test course-specific chatbots designed to help students study more effectively and equitably. The goal is to create practical, evidence-based strategies for using GenAI to improve learning outcomes in scalable, responsible ways. This work supports the CUES mission by advancing scalable, research-based innovations that enhance undergraduate learning, with particular attention to equity, effectiveness, and responsible use of emerging technologies.