AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System

Sun, Daner; Wang, Jingyun; Yang, Lan; Chou, Kee-lee; Song, Zhixuan; Zheng, Zhizi

Abstract

As online learning becomes increasingly prevalent, it is essential to understand students' perspectives and address the challenges they encounter. The developing system, ScaffoldiaMyMaths, aims to support the mathematics learning of underprivileged and lower-ability primary school students. This system integrates context-specific and dynamic scaffolding to provide personalized support, particularly in the study of fractions. In addition to standard learning management features, ScaffoldiaMyMaths offers dynamic virtual manipulative representations and adaptive scaffolding for problem-solving, complemented by Al-based real-time feedback. The Al-generated feedback enhances the learning experience by delivering immediate, tailored responses to students' queries. It analyzes students' inputs to offer precise guidance, suggest alternative problem-solving strategies, and identify areas needing further practice. By utilizing Al, ScaffoldiaMyMaths ensures that feedback is both prompt and customized, effectively addressing individual learning gaps and fostering a deeper understanding of mathematical concepts.

Citation

Sun, D., Wang, J., Yang, L., Chou, K.-L., Song, Z., & Zheng, Z. (2024, November). AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System. Poster presented at International Conference on Computers in Education, Philippines

• Presentation Conference Type: Poster
• Conference Name: International Conference on Computers in Education
• Start Date: Nov 25, 2024
• End Date: Nov 29, 2024
• Acceptance Date: Sep 3, 2024
• Online Publication Date: Nov 25, 2024
• Deposit Date: Feb 7, 2025
• Journal: International Conference on Computers in Education
• Print ISSN: 3078-4360
• Peer Reviewed: Peer Reviewed
• Book Title: Proceedings of the 32nd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education
• DOI: https://doi.org/10.58459/icce.2024.5054
• Public URL: https://durham-repository.worktribe.com/output/3471559