Mubina Kamberović
Ph.D. Candidate, Faculty of Electrical Engineering, University of Sarajevo
About
I am currently a PhD student at the Faculty of Electrical Engineering at the University of Sarajevo, where I focus on AI-Assisted Learning. Alongside my studies, I work as a ML engineer at HTEC in Sarajevo.
Education
- Ph.D. in Computer Science (ongoing), University of Sarajevo
- M.Sc. in Computer Science, University of Sarajevo
- B.Sc. in Computer Science, University of Sarajevo
Research Interests
- AI-assisted learning
- Personalized and adaptive learning systems
- Educational data mining
- User modeling
Experience
ML Engineer
HTEC, Sarajevo
2026 - present
MLOps/ML Engineer
Starbyte, Sarajevo
2025 - 2026
Software Engineer
Olivebh, Sarajevo
2021 - 2025
Teaching Assistant
Faculty of Electrical Engineering, University of Sarajevo
Course Introduction to Programming - 2023, 2024
Publications
Digital and AI Tools in Education: Insights from Educators and Learners
Mubina Kamberović, Suad Krilašević, Senka Krivić. New Technologies, Development and Application IX. NT 2026
From Gamification to Insights: Predicting Student Success in an Introductory Programming Course
Mubina Kamberović, Željko Jurić, Senka Krivić. ACM ITiCSE '26
What do students want from AI? Exploring expectations and preferences in programming education
Mubina Kamberović and Senka Krivić. Artificial Intelligence in Education 2 (1), 33-48. 2026
Sentence Encoder-Based Clustering Method for Modeling Students’ Learning Programming Behavior
Mubina Kamberović, Amina Mević, Senka Krivić. ACM UMAP '25
Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes
Mubina Kamberović, Amra Delić, Senka Krivić. ACM UMAP '25 Adjunct
Personalized Learning Systems for Computer Science Students: Analyzing and Predicting Learning Behaviors Using Programming Error Data
Mubina Kamberovic, Senka Krivic, Amra Delic, Sandor Szedmak, Vedran Ljubovic. ACM UMAP '23 Adjunct
Talks & Presentations
- July, 2026: Presented the paper "From Gamification to Insights: Predicting Student Success in an Introductory Programming Course" and my PhD research at the ITiCSE conference in Madrid, Spain.
- June, 2026: Presented the paper "Digital and AI Tools in Education: Insights from Educators and Learners" at the NT conference in Sarajevo, Bosnia and Herzegovina.
- September, 2025: Held a talk on using digital and AI tools in education at the "Eudaimonic well-being and technology-assisted education: Success concepts, methods and challenges of the education of the future" workshop in Banja Luka, Bosnia and Herzegovina.
- July, 2025: Presented the paper "Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes" at the poster session at the Eastern European Machine Learning Summer School (EEML) in Sarajevo, Bosnia and Herzegovina.
- June, 2025: Presented papers "Sentence Encoder-Based Clustering Method for Modeling Students’ Learning Programming Behavior" and "Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes", as well as my PhD research at the UMAP conference in New York, USA.
- October, 2024: Gave a talk on using machine learning methods to predict students' compiler errors at the CAIDAS-Workshop: "AI for Software Engineering" in Würzburg, Germany.
- July, 2024: Presented the paper "Personalized Learning Systems for Computer Science Students: Analyzing and Predicting Learning Behaviors Using Programming Error Data" at the poster session at the Eastern European Machine Learning Summer School (EEML) in Novi Sad, Serbia.
- June, 2023: Presented the paper "Personalized Learning Systems for Computer Science Students: Analyzing and Predicting Learning Behaviors Using Programming Error Data" at the poster session at the UMAP conference in Limassol, Cyprus.