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Ethical Frameworks in Artificial Intelligence for Education: A Systematic Review and Practical Insights Through Bibliometric Analysis
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Author(s): Mohammed AlEisaei (Sohar University, Oman), Ali Mohammad Jubran (Faculty of Education and Arts, Sohar University, Oman & Yarmouk University, Irbed, Jordan), Mohamad Azrien bin Mohamed Adnan (Universiti Malaya, Malaysia)and Haitham Salim Humaid Al Qurri (Universiti Malaya, Malaysia)
Copyright: 2026
Pages: 32
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch006
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Abstract
AI in education has transformed teaching, learning, and assessment. It raises difficult ethical issues pertaining to equity, privacy, algorithmic prejudice, and academic integrity. This article examines ethical issues, theoretical frameworks, stakeholder views, and ethical AI deployment in education through a systematic literature review (SLR). This study synthesises ethical AI research in education by defining major challenges, exploring theoretical and philosophical contributions, analysing educator and student views, and assessing ethical AI integration solutions. The PRISMA framework discovered 414 Scopus articles. After applying inclusion/exclusion criteria, 37 papers were examined. The study categorises and interprets findings across major themes using bibliometrics. AI biases, data privacy hazards, and critical thinking and academic integrity loss are among the ethical concerns found. Constructivism, sociocultural theories, and multi-theoretical frameworks underpin ethical AI.
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