Title: The impact of AI-Integrated Educational Supervision on the Development of Teaching Competencies and Job Satisfaction Among IT Teachers in Al-Dhahirah Governorate
Authors: Fatma Hamad AL-Shuhumi, Dr. Abdullah Said AL-Aamri,
Volume: 10
Issue: 7
Pages: 233-241
Publication Date: 2026/07/28
Abstract:
The rapid digital transformation of education has created increasing demands for innovative supervisory approaches strongly capable of enhancing teachers' professional performance and supporting sustainable educational improvement. Even so, existing educational supervision practices remain largely dependent on conventional or blended models, with limited empirical evidence regarding the effectiveness of integrating artificial intelligence (AI) into supervisory processes, particularly for Information Technology (IT) teachers. This study investigates the impact of AI-integrated educational supervision on the development of teaching competencies and job satisfaction among IT teachers in Al Dhahirah Governorate, Sultanate of Oman. The proposed supervisory model integrates blended educational supervision with AI technologies, including intelligent analytics, personalized feedback, and data-driven decision support, to provide continuous and adaptive professional guidance tailored to teachers' instructional needs. The study is expected to demonstrate that AI-integrated educational supervision enhances teachers' instructional competencies, strengthens job satisfaction, and improves the overall effectiveness of professional development. The findings revealed that AI-integrated educational supervision significantly improved IT teachers' teaching competencies, particularly in instructional planning, technology integration, classroom practices, and assessment strategies. The results indicated that AI-integrated supervision significantly improved teaching competencies (F = 224.754, p < 0.001, ?² = 0.677) and job satisfaction (F = 84.096, p < 0.001, ?² = 0.440). A positive relationship was also found between teaching competencies and job satisfaction (r = 0.635, p < 0.001).