The Hidden Art to Phenomenal Next-Generation Mathematics Education for All

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Authors: Ismail A Mageed
Cited by: 0

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