Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial Abstract The significance of nurturing a deep conceptual understanding in math learning cannot be overstated. Grounded in the pedagogical strategies of induction, concretization, and exemplification (ICE), we designed and developed a conversational AI using both ruleand generation-based techniques […]

Students’ Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class Abstract Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing “learning-by-teaching” practices in the form of a teachable agent (TA). Despite the recognized roles and opportunities of TAs, less is known about […]

Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning Abstract Open-ended mathematical problems are a commonly used method for assessing students’ abilities by teachers. In previous automated assessments, natural language processing focusing on students’ textual answers has been the primary approach. However, mathematical questions often involve answers containing images, such as number lines, […]