AI-Driven Transformation for Continuous Professional Development: A Strategic Framework for the Pakistani Teacher Education

Authors

  • Muhammad Azeem Sarwar PhD Scholar, Department of Education, University of Faisalabad, Faisalabad, Pakistan.
  • Dr. Asma Shahzadi Assistant Professor of Education, Higher Education Department, Punjab, Pakistan.
  • Dr. Syed Alamdar Hasnain Naqvi Associate Professor, Higher Education Department, Punjab, Pakistan.

Keywords:

Artificial Intelligence, Professional Development, Teacher Education, Educational Technology, Instructional Improvement

Abstract

This study investigates the use of Artificial Intelligence (AI) as an impetus for transforming Continuous Professional Development (CPD) in Pakistan's educational context. Traditionally restricted by geographical hurdles and resource restrictions, teacher education in Pakistan promises to profit from AI-driven customized instruction routes, real-time feedback processes, and automated skill-gap analysis. Based on the existing educational scenario in Pakistan, there is a push for AI in classrooms, but there is a severe shortage of empirical data on how these tools help teacher professional growth over time. However, there is a considerable research gap addressing the long-term efficacy of these AI technologies for increasing teacher performance in resource-constrained and linguistically diverse situations. This study explores the integration of artificial intelligence (AI) in continuous professional development (CPD) among in-service educators, focusing on perceptions, usage patterns, and perceived instructional impact. A quantitative survey was administered to 127 teachers across various institutions, employing a 24-item Likert-scale questionnaire covering AI usage, perceived usefulness, motivation, and teaching impact. Descriptive statistics revealed strong agreement on AI’s role in enhancing professional learning efficiency (M = 3.98) and staying current with pedagogical trends (M = 3.91). Engagement and motivation items also scored highly (M = 3.68), while actual frequency of AI use showed more moderate responses (M = 3.29). Younger teachers (0–5 years of experience) reported higher mean scores in AI engagement compared to more experienced counterparts. However, regression analysis indicated that frequency of AI use, motivation, and classroom impact were not significant predictors of perceived improvements in student outcomes (R² = 0.125). The findings underscore the importance of not only adopting AI tools, but also ensuring their thoughtful, pedagogically aligned implementation. AI has a great potential to improve the process of CPD when combined with inclusive, competency-based, and ethically oriented professional learning systems.

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Published

2026-03-31

How to Cite

Sarwar, M. A., Shahzadi, A., & Naqvi, S. A. H. (2026). AI-Driven Transformation for Continuous Professional Development: A Strategic Framework for the Pakistani Teacher Education. Journal of Social Sciences Research & Policy, 4(1), 489–509. Retrieved from https://jssrp.org.pk/index.php/jssrp/article/view/306