Enhancing Trust in AI-Powered Learning: The Role of Explainable AI in the Education Field

Author(s)	Mr. Yuvatez Rampilla, Mr. Kovid Satyala, Dr. Swathi Kailasam
Country	India
Abstract	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.
Keywords	Artificial Intelligence in Education; Trust and Transparency; Personalized Learning; Adaptive Learning; Ethical AI; User Acceptance; Accountability
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-09-05
DOI	https://doi.org/10.71097/IJSAT.v16.i3.8093
Short DOI	https://doi.org/g93b6d

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International Journal on Science and Technology