Applying Artificial Intelligence Algorithms to Measure University Quality System Indicators
Karar Abdul-Hussein Ajami
Al-Karkh University, Department of Administrative and Financial Affairs
Haider Karim Rahim
Al-Karkh University, Department of Administrative and Financial Affairs
Download PDF
http://doi.org/10.37648/ijps.v20i01.003
Abstract
This study explores the application of artificial intelligence (AI) algorithms to assess the quality indicators of university systems in Iraqi higher education institutions. It aims to investigate the extent to which AI can enhance the quality of academic and non-academic services provided to students, based on their perceptions. The descriptive-analytical methodology was adopted, with a sample consisting of 25 students from the College of Economic Sciences at Al-Karkh University.
Keywords:
Artificial Intelligence Algorithms; University Quality System Indicators; Higher Education Services; Academic Decision-Making; Student Perceptions; Iraqi Universities
References
- Al-Fakhri, S. A. S. (2018). The psychology of intelligence. Faculty of Arts, Sebha University.
- Al-Jubouri, F. Y. A. R. (2023). Application of genetic algorithm-based information systems for administrative decision rationalization: A case study on some colleges at Al-Mustansiriya University.
- Al-Louzi, M. (2012). Artificial intelligence in business. Paper presented at the 11th Annual Scientific Conference on Business Intelligence and Knowledge Economy, Al-Zaytoonah University of Jordan, Amman.
- Al-Masri, N. O. (2022). The role of artificial intelligence technologies in improving the quality of services provided to students at the University of Jordan: An applied study. University of Jordan.
- Al-Mutairi, A. M. (2019). Artificial intelligence as an approach to developing educational decision-making in the Ministry of Education in the State of Kuwait.
- Al-Mutairi, A. (2019). Artificial intelligence as an approach to developing educational decision-making in the Ministry of Education in Kuwait. Journal of Scientific Research in Education, Ain Shams University, 11(10), 573–588.
- Al-Qahtani, A. M. M. (2024). The factors influencing the use of generative artificial intelligence (GAI) applications in learning in light of the Unified Theory of Acceptance and Use of Technology (UTAUT) from the perspective of Prince Sattam Bin Abdulaziz University students.
- Al-Rubaie, M. (2011). The level of service quality in non-governmental youth organizations in the Capital Secretariat [Unpublished master's thesis]. University of Science and Technology, Yemen.
- Al-Sharqawi, M. (2011). Artificial intelligence and neural networks. Imam Jaafar Al-Sadiq University Publications.
- Al-Shawawrah, Y. (2019). The level of educational service quality at the Islamic University in Medina from students’ perspectives. Journal of Islamic University for Educational and Psychological Studies, 28(3), 259–343.
- Aql, A. (2008). Developing excellence standards in higher university education. Dar Al-Khaleej.
- Mira, A., & Katea, T. (2019). Applications of artificial intelligence in education from university faculty perspectives. Proceedings of the First International Scientific Conference on Humanities (Intelligences and Capabilities), Journal of Psychological Sciences, University of Baghdad, Special Issue, 293–316.
- Mousa, A., & Bilal, A. H. (2019). Artificial intelligence: A revolution in modern technologies. Arab Group.
- Saif, N., Al-Sartawi, K., & Al-Aqra, S. (2014). The level of student service quality and student satisfaction in public Jordanian universities. Arab Journal for Quality Assurance in University Education, 7(15), 161–186.
- Sobhi & Al-Farrani (2020). Adopting artificial intelligence in higher education in the Kingdom of Saudi Arabia.
