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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66407
Volume:
10 |
7 |
Jul 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Applications
GM Univerity
Computer Applications
GM Univerity
Personalized learning, intelligent tutoring, automated assessment, academic content development, student support, and institutional decision-making are just a few of the ways artificial intelligence (AI) is quickly changing higher education. Concerns about academic integrity, privacy, algorithmic bias, transparency, digital inequality, and an excessive reliance on automated systems have emerged along with new teaching and learning opportunities brought about by the growing availability of generative AI technologies. In addition to offering a human-centered framework for ethical, responsible, and successful AI integration, this study provides a conceptual analysis of the role of AI in higher education. By combining current research and policy viewpoints on AI applications, opportunities, problems, governance, and AI literacy, the study takes a literature-based conceptual approach. Institutional preparedness, faculty AI competency, student AI literacy, ethical governance, data protection, human oversight, and ongoing evaluation are all identified as interrelated aspects of responsible AI deployment in the suggested framework. The concept emphasizes that AI should supplement human judgment and teachers rather than replace them. The study makes the case that a balanced strategy that incorporates technological innovation with institutional rules, teacher development, student awareness, ethical protections, and ongoing monitoring is necessary for the successful incorporation of AI. Higher education institutions can use the suggested framework to help them create a responsible and sustainable roadmap for implementing AI-enabled teaching methods.
KEYWORDS
Artificial intelligence is starting to play a significant role in the higher education ecosystem, providing chances to improve student services, support educators, personalize instruction, and boost research endeavors. AI also poses serious problems with regard to human agency, academic integrity, privacy, bias, and openness. These difficulties show that having access to cutting-edge technology is not enough for AI adoption to be successful. Higher education institutions can use this framework as a conceptual guide when planning AI initiatives, creating policies, training stakeholders, and assessing results. In the end, responsible AI integration should be guided by educational purpose, ethical principles, and the ongoing protection of human values. This paper proposed a Human-Centred AI Integration Framework based on institutional readiness, faculty AI competency, student AI literacy, ethical governance, privacy and security, human oversight, and continuous evaluation.
[1] UNESCO, Guidance for Generative AI in Education and Research. Paris, France: UNESCO, 2023. [2] UNESCO, Artificial Intelligence and Education: Guidance for Policy-Makers. Paris, France: UNESCO, 2021. [3] M. Tlili, B. Shehata, A. A. Adarkwah, A. Bozkurt, D. Burgos, and R. Agyemang, “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education,” Smart Learning Environments, vol. 10, 2023. [4] A. Kasneci et al., “ChatGPT for good? On opportunities and challenges of large language models for education,” Learning and Individual Differences, vol. 103, 2023. [5] S. M. Lee, “The role of artificial intelligence in higher education: A systematic review,” Education and Information Technologies, 2024. [6] J. Crompton and D. Burke, “Artificial intelligence in higher education: The state of the field,” International Journal of Educational Technology in Higher Education, 2023. [7] M. A. H. Khan and M. M. Alshahrani, “Artificial intelligence in education: A systematic literature review,” Education Sciences, 2024. [8] OECD, Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem. Paris, France: OECD Publishing, 2023. [9] European Commission, Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators. Brussels, Belgium: European Commission, 2022. [10] World Economic Forum, Shaping the Future of Learning: The Role of AI in Education. Geneva, Switzerland: World Economic Forum, 2024.
Publication Date
7/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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