LITERATURE REVIEW ON AI-DRIVEN PERSONALIZED LEARNING AND GAMIFICATION IN PROGRAMMING EDUCATION

Programming education has become vital in university curricula, providing students with critical thinking and problem-solving skills essential for innovation and adapting to new technologies. However, the abstract nature of programming concepts can lead to a lack of motivation among students, making it challenging to learn effectively. Gamification has emerged as an effective solution to enhance student motivation and engagement, while AI-driven personalized learning techniques offer the potential to further amplify these benefits. This literature review examines related works on AI-driven personalized learning and gamification in programming education. We analyze various techniques and methods introduced in the field, along with performance metrics used to assess their effectiveness. We identify potential future directions and open problems based on our findings, aiming to guide further research and implementation strategies in this area.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-02
DOI
https://doi.org/10.5281/zenodo.18841047
Primary Topic
Teaching and Learning Programming
Type
article
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article

LITERATURE REVIEW ON AI-DRIVEN PERSONALIZED LEARNING AND GAMIFICATION IN PROGRAMMING EDUCATION

Seifeddine Bouallegue¹, Aymen Omri¹, Shiban Khan², Abdullatif Shikfa³, Bekir Sait Ciftler⁴, Salem Al-Naemi⁵
Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
article

LITERATURE REVIEW ON AI-DRIVEN PERSONALIZED LEARNING AND GAMIFICATION IN PROGRAMMING EDUCATION

Seifeddine Bouallegue¹, Aymen Omri¹, Shiban Khan², Abdullatif Shikfa³, Bekir Sait Ciftler⁴, Salem Al-Naemi⁵
article en

Abstract

Programming education has become vital in university curricula, providing students with critical thinking and problem-solving skills essential for innovation and adapting to new technologies. However, the abstract nature of programming concepts can lead to a lack of motivation among students, making it challenging to learn effectively. Gamification has emerged as an effective solution to enhance student motivation and engagement, while AI-driven personalized learning techniques offer the potential to further amplify these benefits. This literature review examines related works on AI-driven personalized learning and gamification in programming education. We analyze various techniques and methods introduced in the field, along with performance metrics used to assess their effectiveness. We identify potential future directions and open problems based on our findings, aiming to guide further research and implementation strategies in this area.

Zenodo (CERN European Organization for Nuclear Research)
Qatar Science and Technology Park (QA)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Teaching and Learning Programming
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LITERATURE REVIEW ON AI-DRIVEN PERSONALIZED LEARNING AND GAMIFICATION IN PROGRAMMING EDUCATION — Seifeddine Bouallegue¹, Aymen Omri¹, Shiban Khan², Abdullatif Shikfa³, Bekir Sait Ciftler⁴, Salem Al-Naemi⁵ · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS