Explainability in Generative AI for Education: A Scoping Re-view of Governance, Regulation, Equity, and Institutional Ac-countability

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Authors: José Antonio Rojas Guillén
Cited by: 0

Abstract

This project presents a scoping review examining how governance, regulation, and equity issues are addressed in the emerging literature on artificial intelligence in education, particularly in relation to generative AI technologies and large language models. The review follows the PRISMA Extension for Scoping Reviews (PRISMA-ScR) framework and analyzes peer-reviewed journal articles published between 2021 and 2026. The study aims to map current research trends, identify thematic patterns related to governance, policy frameworks, and equity concerns, and highlight existing research gaps in the integration of AI technologies within educational systems.

Fields of Study & Subjects

Artificial Intelligence in Education Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint