Mehmet Arif Demirtaş

Publications

Full Papers

  • Mehmet Arif Demirtaş, Claire Zheng, Max Fowler, Kathryn Cunningham. Generating Planning Feedback for Open-Ended Programming Exercises with LLMs. 26th International Conference on Artificial Intelligence in Education (AIED 2025), 2025. https://link.springer.com/chapter/10.1007/978-3-031-98417-4_3

  • Yoshee Jain*, Mehmet Arif Demirtaş*, Kathryn Cunningham. PLAID: Supporting Computing Instructors to Identify Domain-Specific Programming Plans at Scale. In 2025 ACM Conference on Human Factors in Computing Systems (CHI 2025), https://arxiv.org/abs/2502.10618.

  • Mehmet Arif Demirtaş, Max Fowler, Nicole Hu, Kathryn Cunningham. Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing Data. In Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1 (ICER ‘24), Vol. 1. Association for Computing Machinery, New York, NY, USA, 263–279. doi: 10.1145/3632620.3671120

  • Mehmet Arif Demirtaş, Max Fowler, Kathryn Cunningham. Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 2024. doi: 10.5281/zenodo.12729773

  • Alexander Waibel, Moritz Behr, Dogucan Yaman, Fevziye Irem Eyiokur, Tuan-Nam Nguyen, Carlos Mullov, Mehmet Arif Demirtas, Alperen Kantarci, Stefan Constantin, and Hazim Kemal Ekenel. Face-Dubbing++: Lip-synchronous, voice preserving translation of videos. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023. IEEE, 1–5. doi: 10.1109/ICASSPW59220.2023.10193719

  • Mehmet Arif Demirtaş, Berke Oral, Mehmet Yasin Akpınar, and Onur Deniz. Semantic Parsing of Interpage Relations. In 26th International Conference on Pattern Recognition, 2022. doi: 10.1109/ICPR56361.2022.9956546

  • Martin Hanik, Mehmet Arif Demirtaş, Mohammed Amine Gharsallaoui, and Islem Rekik. Predicting cognitive scores with graph neural networks through sample selection learning. Brain Imaging and Behavior 16, 3 (2021), 1123–1138. doi: 10.1007/s11682-021-00585-7

Short Papers

  • Rafaella Sampaio de Alencar, Mehmet Arif Demirtaş, Adittya Soukarjya Saha, Yang Shi, Peter Brusilovsky. Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling. 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2025), 2025. https://doi.org/10.1145/3699682.3728348

  • Selim Yürekli, Mehmet Arif Demirtaş, and Islem Rekik. 2022. Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. In Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022. Springer Nature Switzerland Cham, 149–159. https://doi.org/10.1007/978-3-031-16919-9_14

Posters and Extended Abstracts

  • Mehmet Arif Demirtaş, Claire Zheng, and Kathryn Cunningham. Detecting Programming Plans in Open-ended Code Submissions. In: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2. 2025, pp. 1435–1436.doi: 10.1145/3641555.3705166

  • Mehmet Arif Demirtaş. Identifying and Evaluating Novel Knowledge Component Models for Programming Skills. In: Proceedings of the 17th International Conference on Educational Data Mining. Ed. by B. Paa ˜A ¨Yen and C. D. Epp. Atlanta, Georgia, USA: International Educational Data Mining Society, July 2024, pp. 969–973. isbn: 978-1-7336736-5-5. doi: 10.5281/zenodo.12730015 2.

  • Eliane S. Wiese, James Finnie-Ansley, Rodrigo Duran, Kathryn Cunningham, and Mehmet Arif Demirtaş. Challenges and Solutions for Teaching Decomposition and Planning Skills in CS1. In: Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 2. 2024, pp. 291–292. doi: 10.1145/3649409.3691076