IJIET 2026 Vol.16(5): 1378-1384
doi: 10.18178/ijiet.2026.16.5.2604
doi: 10.18178/ijiet.2026.16.5.2604
The Effectiveness of Artificial Intelligence Technology in Achieving Quality Education for University Students in Jordan
Areej Derbas1,*, Hani Y. Ayyoub2, Tamara Almarabeh3, and Adnan Hnaif4
1. Department of Sociology, School of Arts, The University of Jordan, Amman, Jordan
2. Development and Management Office for E-Learning Platforms, King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan
3. Computer Information Systems Department, King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan
4. Department of Cybersecurity, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
Email: a.derbas@ju.edu.jo (A.D.); h.ayyoub@ju.edu.jo (H.Y.A.); t.almaraabeh@ju.edu.jo (T.A.); adnan_hnaif@zuj.edu.jo (A.H.)
*Corresponding author
2. Development and Management Office for E-Learning Platforms, King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan
3. Computer Information Systems Department, King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan
4. Department of Cybersecurity, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
Email: a.derbas@ju.edu.jo (A.D.); h.ayyoub@ju.edu.jo (H.Y.A.); t.almaraabeh@ju.edu.jo (T.A.); adnan_hnaif@zuj.edu.jo (A.H.)
*Corresponding author
Manuscript received July 19, 2025; revised September 16, 2025; accepted November 25, 2025; published May 19, 2026
Abstract—The growing integration of Artificial Intelligence (AI) in higher education offers new opportunities to enhance teaching quality and personalize learning. This study examines the effectiveness of AI technologies in promoting quality education among university students in Jordan, where institutions face challenges of overcrowding and limited resources. Using a quantitative design, data were collected from 1,477 undergraduate students at the University of Jordan and Al-Zaytoonah University through a structured survey. Descriptive statistics and one-way ANOVA were employed to assess students’ satisfaction with AI tools and differences across gender, age, academic year, and faculty. Results indicated high satisfaction levels, particularly regarding access to information and personalized learning, with significant variations among faculties favoring scientific disciplines. However, concerns emerged about insufficient training, reduced critical thinking, and data privacy. The study contributes to the literature by providing empirical evidence on AI’s role in enhancing educational quality in developing contexts and highlights the need for responsible, discipline-specific AI integration strategies in higher education.
Keywords—artificial intelligence, quality education, higher education, technology enhanced learning, Artificial Intelligence (AI) in quality education
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—artificial intelligence, quality education, higher education, technology enhanced learning, Artificial Intelligence (AI) in quality education
Cite: Areej Derbas, Hani Y. Ayyoub, Tamara Almarabeh, and Adnan Hnaif, "The Effectiveness of Artificial Intelligence Technology in Achieving Quality Education for University Students in Jordan," International Journal of Information and Education Technology, vol. 16, no. 5, pp. 1378-1384, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).