This question opens the debate about the role of artificial intelligence in monitoring and evaluating the quality of higher education, such as monitoring academic performance and analyzing learning outcomes. It also raises a debate about reliability versus challenges, such as bias in algorithms or the loss of the human dimension in evaluation. The goal is to explore whether artificial intelligence is a true supporter of quality or a new burden on educational institutions.
Related works may you find answers to your question.
1. Google Forms & ChatGPT for Student Quizzing: Practical Report (Hussein CHIBLE, Zeina Makki, August 2025)
https://www.researchgate.net/publication/394311767_Google_Forms_ChatGPT_for_Student_Quizzing_Practical_Report
2. Proposing and Grading Quizzes/Exams with ChatGPT: A Methodological Approach (Hussein CHIBLE, July 2025)
https://www.researchgate.net/publication/393870919_Proposing_and_Grading_QuizzesExams_with_ChatGPT_A_Methodological_Approach
3. Course Design in Higher Education Using ChatGPT and "AI Teaching Assistant Blueprint" -A Practical Case (Hussein CHIBLE, July 2025)
https://www.researchgate.net/publication/393609033_Course_Design_in_Higher_Education_Using_ChatGPT_and_AI_Teaching_Assistant_Blueprint_-A_Practical_Case
4. Perspectives on Generative AI among Professors and Students: An Overview Based on a Sample from the Lebanese University (Hussein CHIBLE, June 2025)
https://www.researchgate.net/publication/392924798_Perspectives_on_Generative_AI_among_Professors_and_Students_An_Overview_Based_on_a_Sample_from_the_Lebanese_University
5. Perspectives on Generative Artificial Intelligence Among Professors from the Lebanese University: A Sample-Based Overview (Hussein CHIBLE, June 2025)
https://www.researchgate.net/publication/392557671_Perspectives_on_Generative_Artificial_Intelligence_Among_Professors_from_the_Lebanese_University_A_Sample-Based_Overview
6. Artificial Intelligence in Education: Presenting Practical Cases in the University Context (Hussein CHIBLE, July 2024)
https://www.researchgate.net/publication/382442604_Artificial_Intelligence_in_Education_Presenting_Practical_Cases_in_the_University_Context
Artificial intelligence can be a reliable tool for measuring and enhancing quality in higher education through automated assessment, data-driven feedback, and personalized learning analytics. However, excessive reliance may introduce challenges such as algorithmic bias, data privacy concerns, and reduced human judgment in educational decisions. Ensuring transparency, ethical use, and stakeholder involvement is vital to mitigate these risks. Thus, AI should complement—not replace—expert evaluators and holistic quality frameworks in academia.
AI can be a reliable tool in higher education at various levels, from the stage of admission to improving decision-making in curriculum and teaching practices. The right amount of balance and involvement with expertise will serve as a supportive mechanism rather than a complete replacement for human oversight.
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