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May 24, 2026Open Access

AI-Based System for Detecting Students' Mathematical Errors and Reasoning Patterns: A Personalized, Accessible, and Human-Centered Approach to Transforming Math Education

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Authors

HAHala AhmadHAHala Ahmad

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Overview

Randomized trial evaluates an AI system that personalizes math education, improving confidence and understanding.

Key Points

  • The research aims to develop an AI-based system that detects mathematical errors and reasoning patterns to improve student learning outcomes.
  • Developed an integrated AI system that analyzes step-by-step mathematical solutions.
  • Provided personalized and interactive feedback based on individual learning needs.
  • Observed the impact of the system on students' error rates and conceptual understanding.
  • AI-driven analysis significantly reduced repeated mathematical errors.
  • Empowered students to engage with mathematics more confidently and supportively.
  • Enhanced conceptual understanding among students participating in the trial.

Cite This Study

Ahmad et al. (2026) studied this question.

synapsesocial.com/papers/6a12965848a0ea1665673172https://doi.org/10.5281/zenodo.20342144
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