Artificial Intelligence and the Right to Education: A Literature Review for Developing a Theoretical Framework
Keywords:
Artificial Intelligence, Right to Education, Educational Equity, Ethical AI, Theoretical Framework, Inclusive Education, SustainabilityAbstract
The integration of Artificial Intelligence (AI) into education is transforming access, quality, and inclusivity, making it a critical area of study. This research explores the alignment of AI technologies with the Right to Education, as defined by international human rights frameworks, while addressing challenges related to equity, ethics, and sustainability.
The study aims to conduct a comprehensive literature review to develop a theoretical framework that elucidates the interplay between AI and educational rights. It seeks to identify key opportunities, challenges, and policy considerations for leveraging AI to promote inclusive and equitable education.
A systematic literature review was conducted using peer-reviewed articles from leading academic databases, including Scopus, Web of Science, and Google Scholar, published within the last five years. Thematic analysis was employed to extract recurring themes, and an interdisciplinary synthesis was applied to integrate perspectives from education, technology, and human rights law.
The review highlights AI's potential to enhance personalized learning and bridge educational gaps. However, ethical concerns such as data privacy, algorithmic bias, and the digital divide pose significant challenges. Additionally, the lack of robust policies and frameworks to govern AI-driven education limits its equitable application. A conceptual model is proposed to guide policymakers and educators in integrating AI with educational rights while emphasizing sustainability and global applicability.
AI holds transformative potential for advancing the Right to Education, provided ethical and equity issues are addressed. Policymakers must prioritize creating inclusive policies that leverage AI for universal education while safeguarding marginalized communities. Further research is needed to refine AI’s role in addressing global educational disparities sustainably.
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