Abstract:

Quality assurance (QA) in higher education is essential for maintaining academic excellence, accountability, and continuous improvement. The advent of Artificial Intelligence (AI) has revolutionized QA processes, offering innovative solutions to traditional challenges. This paper examines the positive impact of AI in enhancing quality assurance within higher education institutions.

This study employs a mixed-methods approach, integrating qualitative and quantitative research. Data was collected through literature review, case studies of institutions implementing AI-driven QA, and expert interviews. Surveys and analytics assessed AI’s impact on accreditation, assessment, feedback mechanisms, and student engagement.

Findings indicate that AI-driven tools significantly improve accreditation, assessment, and feedback by automating data analysis, detecting patterns, and predicting areas for enhancement. Machine learning algorithms support adaptive learning, ensuring personalized educational experiences and increased student engagement. AI-powered chatbots and virtual assistants enhance student support services by providing timely academic and administrative guidance. Additionally, AI-driven plagiarism detection and automated grading systems enhance academic integrity and efficiency in assessments.

AI integration fosters data-driven decision-making, enabling institutions to monitor performance metrics with precision. Predictive analytics assist in identifying at-risk students, allowing timely interventions to improve retention and success rates. Faculty development is also enhanced through AI-driven personalized training recommendations and automated feedback systems.

This paper highlights best practices and case studies of AI-driven QA implementations, offering insights into future possibilities. By strategically adopting AI, higher education institutions can strengthen quality assurance mechanisms, promoting innovation and excellence in academic and administrative domains.

Keywords:

Quality Assurance, Higher Education, Artificial Intelligence, Academic Integrity, Predictive Analytics, Student Success, Accreditation.