This analysis shows that explainable AI improves trust and learning outcomes in education, indicating its critical role in responsible teaching.
This study divides its focus to understand ‘explainable’ E-AI in education and in particular, how explainability fosters trust, transparency and acceptance of explainable ai in learning system. Through literature, case studies, and user reviews, the paper argues that E-AI increases accountability, lessens discrimination, and improves learning and teaching outcomes; therefore E-AI is an important form of explainable AI needed to practice AI in teaching responsibly.
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Rampilla et al. (2025) studied this question.
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