Affiliations:
1Faculty of Computing and IT, Sohar University, Sohar, Oman
2Ministry of Education, Muscat, Oman
3Faculty of Education Studies, Arab Open University, Amman, Jordan
The Sultanate of Oman places strong emphasis on improving education and teacher performance, where teacher appraisal is central to these efforts. This study proposes the TeacherEval system, which integrates the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate teachers in Omani schools. The system is designed around 16 main criteria, each with four sub-criteria, to provide a detailed and reliable appraisal. AHP determines the weights of the criteria through pairwise comparison, while TOPSIS ranks teachers according to their proximity to an ideal level of performance. The model was tested by educational supervisors in the North Batinah Governorate using the Technology Acceptance Model (TAM) and the System Usability Scale (SUS), and results showed high acceptance, with ratings between 4 and 5 on a five-point Likert scale. The findings confirm the effectiveness and usability of the system, and the study aligns with Oman Vision 2040 by promoting data-driven assessment that supports decision-making, enhances educational quality, and improves transparency and accuracy in teacher evaluations.
Teacher evaluation, Analytic hierarchy process, TOPSIS method, Educational quality, Oman Vision 2040
https://doi.org/10.21833/ijaas.2025.12.017
Abualkishik, A. M., Mostafa, N. N., Albrieki, A., & Abualkeshek, E. (2025). TeacherEval: An AHP-TOPSIS system for data-driven teacher evaluation in the Sultanate of Oman. International Journal of Advanced and Applied Sciences, 12(12), 192–206. https://doi.org/10.21833/ijaas.2025.12.017