Kamil Akhuseyinoglu

According to our database, Kamil Akhuseyinoglu authored at least 27 papers between 2016 and 2025.

Collaborative distances:

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

2025

An Automated Approach to Recommending Relevant Worked Examples for Programming Problems.

Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky, Bita Akram

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans.

Mohammad Hassany, Peter Brusilovsky, Jaromír Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

2024

Exploring Adaptive Social Comparison for Online Practice.

Kamil Akhuseyinoglu, Emma McDonald, Aleksandra Klasnja-Milicevic, Carrie Demmans Epp, Peter Brusilovsky

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Authoring Worked Examples for JAVA Programming with Human AI Collaboration.

Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Human-AI Co-Creation of Worked Examples for Programming Classes.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

Automated Identification of Relevant Worked Examples for Programming Problems.

Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

Engaging an LLM to Explain Worked Examples for Java Programming: Prompt Engineering and a Feasibility Study.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

The Impact of Connecting Worked Examples and Completion Problems for Introductory Programming Practice.

Kamil Akhuseyinoglu, Aleksandra Klasnja-Milicevic, Peter Brusilovsky

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

2023

Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System.

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky

Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

2022

Adaptive Assessment and Content Recommendation in Online Programming Courses: On the Use of Elo-rating.

Boban Vesin, Katerina Mangaroska, Kamil Akhuseyinoglu, Michail N. Giannakos

ACM Trans. Comput. Educ., 2022

Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences.

Kamil Akhuseyinoglu, Peter Brusilovsky

Frontiers Artif. Intell., 2022

Context Adaptive Personalized Privacy for Location-based Systems.

Nuray Baltaci Akhuseyinoglu, Kamil Akhuseyinoglu

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

DeepCode: An Annotated Set of Instructional Code Examples to Foster Deep Code Comprehension and Learning.

Vasile Rus, Peter Brusilovsky, Lasang Jimba Tamang, Kamil Akhuseyinoglu, Scott Fleming

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

A Study of Worked Examples for SQL Programming.

Kamil Akhuseyinoglu, Ryan Hardt, Jordan Barria-Pineda, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Who are My Peers? Learner-Controlled Social Comparison in a Programming Course.

Kamil Akhuseyinoglu, Aleksandra Klasnja-Milicevic, Peter Brusilovsky

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

2021

Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning.

Kamil Akhuseyinoglu, Peter Brusilovsky

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace Table.

Zak Risha, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

Prompting for Free Self-Explanations Promotes Better Code Comprehension (Work In Progress).

Vasile Rus, Kamil Akhuseyinoglu, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Integrating Textbooks with Smart Interactive Content for Learning Programming.

Isaac Alpizar Chacon, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Sergey A. Sosnovsky, Peter Brusilovsky

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

Explainable Recommendations in a Personalized Programming Practice System.

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Zelem-Celap, Peter Brusilovsky, Aleksandra Klasnja-Milicevic, Mirjana Ivanovic

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Improving Engagement in Program Construction Examples for Learning Python Programming.

Roya Hosseini, Kamil Akhuseyinoglu, Peter Brusilovsky, Lauri Malmi, Kerttu Pollari-Malmi, Christian Schunn, Teemu Sirkiä

Int. J. Artif. Intell. Educ., 2020

Personalized Remedial Recommendations for SQL Programming Practice System.

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Exploring Student-Controlled Social Comparison.

Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey A. Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, Peter Brusilovsky

Proceedings of the Addressing Global Challenges and Quality Education, 2020

2019

Crossing the Borders: Re-Use of Smart Learning Objects in Advanced Content Access Systems.

Hamza Manzoor, Kamil Akhuseyinoglu, Jackson Wonderly, Peter Brusilovsky, Clifford A. Shaffer

Future Internet, 2019

Explaining Need-based Educational Recommendations Using Interactive Open Learner Models.

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

2018

PCEX: Interactive Program Construction Examples for Learning Programming.

Roya Hosseini, Kamil Akhuseyinoglu, Andrew Petersen, Christian D. Schunn, Peter Brusilovsky

Proceedings of the 18th Koli Calling International Conference on Computing Education Research, 2018

2016

AntiWare: An automated Android malware detection tool based on machine learning approach and official market metadata.

Nuray Baltaci Akhuseyinoglu, Kamil Akhuseyinoglu

Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016