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Pedagogical Framework for Developing Students' Python Programming Competencies Using Intelligent Systems

Kasim KhusanovTurin Polytechnic University, UzbekistanRavshanjon KakharovNamangan State University, UzbekistanXoshimjon Erkinjonovich XolmirzayevNamangan State University, UzbekistanAkhrorbek AbdullayevNamangan State University, Uzbekistan
2026ng

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This chapter explores the use of intelligent learning systems to develop students' Python programming competencies in higher education. The research highlights how these systems provide automated assessment, personalized feedback, and gamified learning experiences that foster programming literacy, learner independence, and motivation. By demonstrating the effectiveness of intelligent systems in enhancing Python programming competencies, this chapter underscores the transformative role of artificial intelligence and machine learning in education. The results of this study clearly demonstrate that integrating intelligent learning systems into Python programming education significantly improves both the quality and efficiency of the learning process. The use of intelligent systems transforms traditional instructional models into adaptive, interactive, and learner-centered environments that align with the pedagogical demands of the digital age.

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