Jul 2026· International Journal of Research In Business and Social Science· Vol 15, pp. 461-470· 0 citations· 34 references
TL;DR
The review concludes that responsible integration, supported by strong governance frameworks, drives the impact of AI in academia and recommends introducing clear institutional policies for the use of AI in higher education, promoting equitable access to digital infrastructure, and mandating transparency and accountability to ensure trust and fairness in high-stakes decision-making.
Abstract
Artificial Intelligence (AI) is transforming higher education, offering both pedagogical advantages and potential academic risks for teaching and learning. This systematic review consolidates existing research to examine whether AI enhances or hinders pedagogical practices in universities. Results show that AI boosts efficiency, supports personalization, and promotes inclusivity through adaptive learning systems, intelligent tutoring platforms, and automated assessment tools. The findings, however, also indicate risks such as academic integrity issues, algorithmic bias, unequal access, and the potential deskilling of educators. Furthermore, policy gaps exacerbate these risks, subjecting institutions to ethical dilemmas and inconsistent practices. The review concludes that responsible integration, supported by strong governance frameworks, drives the impact of AI in academia. Recommendations for policymakers include introducing clear institutional policies for the use of AI in higher education, promoting equitable access to digital infrastructure, and mandating transparency and accountability to ensure trust and fairness in high-stakes decision-making. For higher education institutions, establishing comprehensive guidelines for AI use, investing in faculty training, and redesigning assessments can help ensure inclusivity, preserving creativity, and emphasizing originality and problem-solving skills less easily replicated by AI.
Artificial Intelligence (AI) is transforming higher education by reshaping teaching, learning, research, assessment, and institutional administration. AI-powered technologies such as intelligent tutoring systems, adaptive learning platforms, generative AI, predictive analytics, and virtual assistants are enhancing personalized learning experiences and improving academic outcomes. These innovations enable educators to identify learning gaps, automate routine tasks, and make data-driven decisions that enhance student engagement and institutional efficiency. However, the increasing integration of AI also raises significant ethical, legal, and academic concerns, including data privacy, algorithmic bias, academic integrity, intellectual property, and the changing role of educators. The future of higher education will depend on balancing technological innovation with human-centered pedagogy, critical thinking, and ethical governance. Educational institutions must adopt comprehensive AI policies, strengthen digital literacy, and promote responsible AI usage to maximize its benefits while minimizing associated risks. AI should be viewed as a collaborative tool that complements, rather than replaces, human intelligence in higher education
Jainish Gotecha, CS Khushboo Lalit Shah, Adv. Hardik Goadiya Megha A. Toprani· International Journal of Adv...· 0 citations
Artificial Intelligence (AI) is reshaping higher education through adaptive learning, intelligent tutoring, generative tools, learning analytics, research assistance and administrative automation. This structured narrative review synthesizes recent academic and institutional literature on the influence of AI on teaching, learning, research and university management. The evidence indicates meaningful potential for personalization, timely feedback, accessibility and operational efficiency, but also identifies risks involving inaccurate output, academic integrity, algorithmic bias, data privacy, unequal access and insufficient faculty preparedness. The review argues that AI should augment rather than replace educational judgment. Sustainable adoption requires clear governance, transparent assessment rules, faculty and student AI literacy, data protection, human oversight and regular evaluation of accuracy and equity. The paper also identifies the need for longitudinal research on learning outcomes and discipline-specific implementation.
Husna Sultana, Irfan Ahmed, Jeevan G· International journal of res...· 0 citations
Artificial Intelligence (AI) has emerged as a transformative force in higher education, reshaping teaching methodologies, learning experiences, and student engagement strategies. Educational institutions worldwide are increasingly integrating AI-powered tools such as intelligent tutoring systems, adaptive learning platforms, chatbots, predictive analytics, and automated assessment systems to improve educational outcomes and operational efficiency. This paper explores the role of AI in enhancing personalized learning, supporting educators, and promoting student-centered education. It also examines the opportunities and challenges associated with AI adoption in higher education, including ethical concerns, data privacy, digital inequality, and the evolving role of educators. The study highlights how AI-driven technologies foster interactive learning environments, improve academic performance, and facilitate administrative decision-making. Furthermore, the paper discusses future trends and recommendations for responsible AI implementation in universities and colleges. The findings suggest that AI has significant potential to revolutionize higher education by creating more adaptive, inclusive, and efficient learning ecosystems.
Unknown authors· INTERNATIONAL JOURNAL OF HUM...· 0 citations
It is concluded that AI should complement educators rather than replace them and that responsible implementation supported by institutional policies, faculty development, and ethical guidelines is essential for sustainable educational transformation.
Jestin James M· International Journal of Tec...· 0 citations
Artificial Intelligence should be positioned as a complementary educational resource rather than a replacement for human expertise to ensure inclusive and meaningful educational transformation.
Therese Kabala - Mwagalwa· Journal of Literacy Educatio...· 0 citations
Artificial Intelligence (AI) holds transformative potential for education, enabling personalized, scalable learning while also risking the amplification of existing inequities. Achieving SDG 4 in the context of digital transformation requires more than the deployment of tools; it demands deliberate strategies to ensure equity, ethics, and relevance. The UN 2030 Agenda positions Quality Education not only as a standalone goal but as a foundation for all SDGs. The study finds that AI can improve learning outcomes and streamline administrative tasks; however, these benefits are contingent upon strategies that address inequities, data privacy, transparency, and human oversight. By analyzing global AI initiatives, policy frameworks, and educational practices, the research identifies that effective AI integration depends on coordinated national strategies, teacher training and empowerment, inclusive digital infrastructure, and ethically designed tools. These findings suggest that without effective governance and human-centered implementation, AI risks reinforcing existing disparities rather than promoting equitable and sustainable education. Accordingly, this paper examines the impact of AI in education, exploring its applications, ethical considerations, and global policy frameworks.
Riya Gulati· Sri Lankan Journal of Techno...· 0 citations
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