Mehmet Arif Demirtas

According to our database, Mehmet Arif Demirtas authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Teaching Authentic Programming Applications to Novices: Purpose-first Tutorials in a General Education Computing Course.

Mehmet Arif Demirtas, Claire Zheng, Kathryn I. Cunningham

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Leveraging Human-AI Collaboration for a Passage-Based Question Authoring Tool.

Mehmet Arif Demirtas, Sungjin Nam, Gabrielle Griffin

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling.

Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi, Peter Brusilovsky

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Detecting Programming Plans in Open-ended Code Submissions.

Mehmet Arif Demirtas, Claire Zheng, Kathryn I. Cunningham

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

PLAID: Supporting Computing Instructors to Identify Domain-Specific Programming Plans at Scale.

Yoshee Jain, Mehmet Arif Demirtas, Kathryn I. Cunningham

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Generating Planning Feedback for Open-Ended Programming Exercises with LLMs.

Mehmet Arif Demirtas, Claire Zheng, Max Fowler, Kathryn I. Cunningham

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Challenges and Solutions for Teaching Decomposition and Planning Skills in CS1.

Eliane Stampfer Wiese, James Finnie-Ansley, Rodrigo Duran, Kathryn I. Cunningham, Mehmet Arif Demirtas

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 2, 2024

Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing Data.

Mehmet Arif Demirtas, Max Fowler, Nicole Hu, Kathryn I. Cunningham

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems.

Mehmet Arif Demirtas, Max Fowler, Kathryn I. Cunningham

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Identifying and Evaluating Novel Knowledge Component Models for Programming Skills.

Mehmet Arif Demirtas

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Face-Dubbing++: LIP-Synchronous, Voice Preserving Translation Of Videos.

Alexander Waibel, Moritz Behr, Dogucan Yaman, Fevziye Irem Eyiokur, Tuan-Nam Nguyen, Carlos Mullov, Mehmet Arif Demirtas, Alperen Kantarci, Stefan Constantin, Hazim Kemal Ekenel

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts.

Selim Yürekli, Mehmet Arif Demirtas, Islem Rekik

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Semantic Parsing of Interpage Relations.

Mehmet Arif Demirtas, Berke Oral, Mehmet Yasin Akpinar, Onur Deniz

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Predicting cognitive scores with graph neural networks through sample selection learning.

Martin Hanik, Mehmet Arif Demirtas, Mohammed Amine Gharsallaoui, Islem Rekik

CoRR, 2021