Generative Artificial Intelligence in Higher Education: Integrating Learning Outcomes, Academic Integrity and Institutional Governance

Abstract

The impact of generative AI on higher education extends across learning, assessment, academic integrity, and institutional decision-making, fundamentally changing the landscape.The impact of generative AI in Higher Education is taking many forms and influencing learning, assessment, academic integrity and institutional decision making. This article explored the impact of generative AI on student learning outcomes, the ethical and integrity concerns raised by the use of generative AI, and the governance structures needed to ensure responsible and ethical integration. Recent scholarly literature and institutional evidence were critically analysed and findings organised into three related themes: educational benefits, risks to students' education, and policy responses. The findings showed that with proper academic guidance, generative AI can enhance students' access to explanations, personalized feedback, idea development, writing support and engagement. Simultaneously, it is possible to lack trust in the assessment due to help that is not disclosed, made up information, unclear authorship, reliance on the other, and a diminished critical thinking ability. Good institutional measures ranged from transparent disclosure rules, authentic assessment based on processes, staff development, promoting AI literacy among students, safeguarding privacy, and the regular review of policies. The results indicate that prohibition is insufficient to tackle the learning and moral issues caused by generative AI. It is important to have a balanced governance structure that brings innovation and accountability together, safeguards academic standards, and ensures the use of AI as a tool to enhance, not supplant, meaningful learning and human decision-making for students.