Innovative AI-Driven Approaches to Mitigate Math Anxiety and Enhance Resilience Among Students with Persistently Low Performance in Mathematics

Innovative AI-Driven Approaches to Mitigate Math Anxiety and Enhance Resilience Among Students with Persistently Low Performance in Mathematics

This study explored innovative methods for teaching mathematics to seventh-grade students with persistently low performance by using an AI-driven neural network approach, specifically focusing on solving first-degree inequalities. Guided by the Response to Intervention (RTI) framework, the intervent...

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Bibliographic Details
Main Authors: Georgios Polydoros, Victoria Galitskaya, Pantelis Pergantis, Athanasios Drigas, Alexandros-Stamatios Antoniou, Eleftheria Beazidou
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Psychology International
Subjects:
AI technology
mathematics
education
low performance in mathematics
math anxiety
academic resilience
Online Access:https://www.mdpi.com/2813-9844/7/2/46
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