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April 4, 2026International Journal of Technology Policy and Management

AI-Driven Approaches to Enhancing Fairness and Identifying Algorithmic Bias in Teacher Education

Junli Tu Hong Jiang

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Key Points

To explore how AI can address fairness and uncover biases in teacher education.
Review of AI techniques applicable to educational contexts
Analysis of existing algorithms for bias detection
Identification of interventions to promote fairness in teacher training
Increased awareness of algorithmic bias in teacher education systems
Proposed strategies for mitigating biases using AI
Potential for improved fairness in teacher preparation programs

Implication

AI-driven methods enhance fairness and detect biases in teacher education, suggesting improvements for equitable training.

Abstract

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Cite This Study

Tu et al. (2026) studied this question.

synapsesocial.com/papers/69d34eac9c07852e0af9844b https://doi.org/10.1504/ijtpm.2027.10077429

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