The Relationship Between Performance Measurement Indicators and Artificial Intelligence in Higher Education: An Analytical Study of Yemeni Universities’ Plans

Abstract

This study aims to explore the relationship between performance measurement indicators and artificial intelligence (AI) in higher education activities and practices by leveraging similar experiences and previous studies. The researcher employed a descriptive-analytical methodology, which involves reviewing relevant literature and documents, as well as analyzing their content. A survey study was conducted on a sample of two public Yemeni universities to determine the extent to which such indicators are incorporated into their plans. The goal is to encourage Yemeni universities to take a significant step toward integrating AI into their activities. The study’s findings indicate a weak correlation between performance measurement indicators related to AI and their presence in strategic and operational plans, as well as annual reports of Yemeni universities. Moreover, the study highlights the absence of specialized guidelines or standards mandated by the Ministry to promote the adoption of this culture. The study concludes with several recommendations, the most notable being the necessity for the Ministry to require Yemeni universities to develop performance measurement indicators in their strategic plans and align them with their operational plans over time. Furthermore, part of these indicators should be designed to respond to the nature of AI, as it represents a global trend that enhances modernization and professionalism in the educational process.