The findings reveal that GenAI can effectively improve teaching efficacy, enable personalised learning experiences, and streamline assessment procedures, however, its implementation also draws attention to concerns regarding academic integrity, data privacy, algorithmic bias, and ethical governance.
Abstract
With the rapid development of artificial intelligence (AI), generative artificial intelligence (GenAI) has been widely applied in higher education, specifically bringing both opportunities and potential challenges. This review focuses on the application of GenAI in teaching, learning, assessment and institutional governance within the higher education context. By adopting a literature review approach, this paper reviews and analyses research on GenAI in education. The findings reveal that GenAI can effectively improve teaching efficacy, enable personalised learning experiences, and streamline assessment procedures. However, its implementation also draws attention to concerns regarding academic integrity, data privacy, algorithmic bias, and ethical governance. In accordance, higher education institutions should strengthen AI literacy training for faculty and students, while improving institutional guidelines and establishing responsible governance mechanisms. Future research is recommended to conduct longitudinal investigations, cross-cultural comparative analyses, and in-depth studies on teacher professional development, in order to support the sustainable and long-term integration of GenAI into higher education.
Artificial Intelligence should be positioned as a complementary educational resource rather than a replacement for human expertise to ensure inclusive and meaningful educational transformation.
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
It is shown that successful GenAI integration requires a balanced approach combining technological capability, pedagogical redesign, and responsible governance, and that successful GenAI integration requires a balanced approach combining technological capability, pedagogical redesign, and responsible governance.
Syusinka Rahmatika, Martanto, Ryan Hamonangan· Immortalis Journal of Interd...· 0 citations
The review shows that AI offers substantial potential for personalised learning, scalable feedback, administrative automation and curriculum innovation, but that effective integration requires transparent governance, educator training, reliable evidence, accessibility and a commitment to ethical and human-centred use.
Pu Chen, Sherry Bawa, N. Islam et al.· Higher Education Studies· 1 citation
This study explored the emerging trends, current practices, challenges, and pedagogical implications of Artificial Intelligence in Education (AIEd) in the Division of Oroquieta City during the School Year 2025- 2026. Employing a descriptive qualitative research design, data were gathered from purposively selected public secondary school teachers through an adapted questionnaire, interviews, and document analysis. The findings revealed that AI is increasingly used as a teaching and learning support tool for lesson planning, assessment, student engagement, and administrative tasks, contributing to improved efficiency and personalized learning. However, challenges such as limited infrastructure, unequal access to technology, capacity and skills gaps, ethical and academic integrity concerns, and resistance to AI adoption persist. The study further indicated that AI integration transforms the teacher's role toward facilitation and mentoring while highlighting the need to strengthen learner-centered approaches, critical thinking, and digital literacy. Overall, the study underscores the importance of institutional readiness, professional development, and clear policy frameworks to ensure ethical, equitable, and sustainable AI integration in education.
Maria Benjie Ann M. Cabasag· Journal of Educational Resea...· 0 citations
The study concludes that AI should function as a supportive technology that complements human judgement rather than replacing academic responsibility, providing implications for universities, educators, researchers, students, and policymakers.
Noor Hanim Rahmat· International journal of res...· 0 citations
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