The Hidden Art to Phenomenal Next-Generation Mathematics Education for All
Abstract
Mathematics education faces a critical crisis of student disengagement and achievement gaps. Traditional teaching often neglects diverse learner needs, leading to anxiety and stagnation. This paper proposes a "phenomenal" framework for next-generation math education, integrating agentic AI, affective computing, and inclusive design. By combining advancements in multi-agent workflows and emotion recognition, we present a system that goes beyond static tutoring. Our hybrid intelligence approach encourages self-regulated learning and addresses metacognitive laziness. We advocate for moving from linear interactions to dynamic educational ecosystems, aiming to democratize access to high-level math reasoning while enhancing the teaching art through emerging technologies.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Artificial Intelligence in Education
Mathematics Education and Teaching Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Preprint