This research explores how generative AI (GenAI) can enhance online AI education by automating the generation of multiple-choice distractors and personalized feedback. Building on the federally funded project AI Across the Curriculum for Virtual Schools, this study focuses on improving assessment and learning experiences for high-need high school students enrolled in Algebra I. Using a design-based research approach, the project develops a GenAI module integrated into existing AI-in-Math lessons and evaluates its impact on learning outcomes, AI self-efficacy, and student perceptions. Expert reviews and pilot studies will assess the pedagogical quality of GenAI-generated content. The study aims to address equity and scalability challenges in virtual AI education and contribute to the growing field of AI-enhanced learning environments.

I am currently a second-year Ph.D. student in Educational Technology at the College of Education, University of Florida. My research interests lie at the intersection of educational data mining, learning analytics, and the application of artificial intelligence in education, with a particular focus on computer science education. I hold a Master’s degree in Computer Software and Theories from Beijing Normal University and a Bachelor’s degree in Computer Science from Beijing Technology and Business University.