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May 28, 20260 citationsOpen Access

Understanding the Cognitive Math Gap in Conflict‑Affected Regions: A Deep Analysis of Syrian Students' Mathematical Misconceptions, Learning Patterns, and the Potential of AI‑Driven Educational Support

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HAHala Ahmad

Key Points

  • The research aims to explore mathematical learning patterns and misconceptions among Syrian students in conflict-affected areas.
  • Investigated mathematical learning patterns of Syrian students through real observations and interactions.
  • Analyzed error types and socio-economic factors affecting cognitive performance.
  • Utilized large-scale online educational engagement platforms for data gathering.
  • Identified core reasons for mathematical struggles among students, directly linked to socio-economic instability.
  • Proposed AI-driven educational support solutions tailored for low-resource environments.
  • Highlighted the role of resilience and adaptive intelligence in improving mathematical understanding.

Abstract

Mathematics education in conflict-affected regions presents a unique cognitive, emotional, and structural challenge. This study investigates the mathematical learning patterns of Syrian students, focusing on misconceptions, error types, and the influence of socio-economic instability on cognitive performance. Drawing from real observations, student interactions, and large-scale educational engagement through online platforms, this research identifies the core reasons behind widespread mathematical struggles and proposes AI-driven solutions tailored to low-resource environments. The study highlights how resilience, self-learning, and adaptive intelligence can transform mathematical understanding even in the absence of traditional educational support

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Cite This Study

Hala Ahmad (2026) studied this question.

synapsesocial.com/papers/6a17dc233fad632b0f9d8d3fhttps://doi.org/10.5281/zenodo.20397124
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