Enhancing IT Competencies Through Python-Based Computational Thinking Modules for Teachers

Abstract

This study addresses the growing need for IT competency among educators in higher education by introducing Python-based computational thinking modules. Computational thinking – involving decomposition, pattern recognition, abstraction, and algorithm design – is a critical skill for navi-gating the digital era. Python, known for its simplicity and versatility, is an ideal language for en-hancing these skills. This paper details the design of professional development programs tailored for higher education faculty, focusing on curriculum structures, practical exercises, and case studies of successful implementations. The findings demonstrate how such programs can empower educators to integrate computational thinking into their pedagogy, fostering a culture of innovation and technolog-ical fluency in academic environments. Furthermore, this study explores the role of artificial intelli-gence (AI) in enhancing Python's applicability, highlighting its potential to revolutionize education through tools like machine learning frameworks and intelligent tutoring systems.