The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Pedagogical Framework for Developing Students' Python Programming Competencies Using Intelligent Systems
Abstract
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.
Related Content
|
Wan Zuhainis Saad, Nor Aziah Alias, Chou Min Chong, Suriana Sabri.
© 2026.
26 pages.
|
|
V. Krishnamoorthy, Nishant Bhuvanesh Trivedi, Ratan Sarkar, Ranjeeta Saini, Archudha Arjunasamy.
© 2026.
30 pages.
|
|
Prasanna Ramakrisnan, Mohd Farhan Shah Ahmad Rusli, Mike Soon Tai Gan Hou.
© 2026.
18 pages.
|
|
Rippandeep Kaur, Ratan Sarkar, M. Lalitha, Saurabh Chandra, Taruna Anand.
© 2026.
30 pages.
|
|
M. Dhanasekar, Rijuta Prashant Joshi, R. Somasundaram, Kavya D. N., Uma Patil, Subhi Boopa.
© 2026.
28 pages.
|
|
Billur Köfter, Canan Koçak Altundağ, Ayşem Seda Yücel.
© 2026.
38 pages.
|
|
Nazurah Nik-Eezammuddeen, Najwa Baharudin.
© 2026.
34 pages.
|
|
|