Benyamin T. Tabarsi

According to our database, Benyamin T. Tabarsi authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring.

Tahreem Yasir, Sutapa Dey Tithi, Benyamin T. Tabarsi, Dmitri Droujkov, Sam Gilson, Yasitha Rajapaksha, Xiaoyi Tian, Arun Kumar Ramesh, DongKuan Xu, Tiffany Barnes

CoRR, March, 2026

Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation.

Aditya Basarkar, Benyamin T. Tabarsi, Tiffany Barnes, Dongkuan Xu

CoRR, February, 2026

SafeTalkCoach: Diversity-Driven Multi-Agent Simulation for Parent-Teen Health Conversations.

Benyamin T. Tabarsi, Wenbo Li, Tahreem Yasir, Aryan Santhosh Kumar, Laura Widman, Dongkuan Xu, Tiffany Barnes

CoRR, February, 2026

MerryQuery in the Loop: How Students Use and Perceive a GenAI-Powered Assistant in an Introductory Programming Course.

Benyamin T. Tabarsi

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Adversarial Assignment Perturbation: Effects on Help-Seeking Behaviors in Student Generative AI Chatbot Use.

Sam Gilson, Benyamin T. Tabarsi, Tiffany Barnes

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

2025

LLMs' Reshaping of People, Processes, Products, and Society in Software Development: A Comprehensive Exploration with Early Adopters.

Benyamin T. Tabarsi, Heidi Reichert, Ally Limke, Sandeep Kuttal, Tiffany Barnes

CoRR, March, 2025

MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students.

Benyamin T. Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Developing LLM-Powered Trustworthy Agents for Personalized Learning Support.

Benyamin T. Tabarsi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Jigsaw: A Tool for Decomposing and Planning Programming Problems.

Heidi Reichert, Benyamin T. Tabarsi, Thomas W. Price, Tiffany Barnes

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

Experience Helps, but It Isn't Everything: Exploring Causes of Affective State in Novice Programmers.

Heidi Reichert, Sandeep Sthapit, Benyamin T. Tabarsi, Ally Limke, Thomas W. Price, Tiffany Barnes

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Scaffolding Novices: Analyzing When and How Parsons Problems Impact Novice Programming in an Integrated Science Assignment.

Benyamin T. Tabarsi, Heidi Reichert, Nicholas Lytle, Veronica Cateté, Tiffany Barnes

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

Empowering Secondary School Teachers: Creating, Executing, and Evaluating a Transformative Professional Development Course on ChatGPT.

Heidi Reichert, Benyamin T. Tabarsi, Zifan Zhang, Cheri Fennell, Indira Bhandari, David Robinson, Madeline Drayton, Catherine Crofton, Matthew Lococo, Dongkuan Xu, Tiffany Barnes

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

ROGI: Partial Computation Offloading and Resource Allocation in the Fog-Based IoT Network Towards Optimizing Latency and Power Consumption.

Benyamin T. Tabarsi, Ali Rezaee, Ali Movaghar

Clust. Comput., 2023

Exploring Novices' Struggle and Progress During Programming Through Data-Driven Detectors and Think-Aloud Protocols.

Benyamin T. Tabarsi, Heidi Reichert, Rachel Qualls, Thomas W. Price, Tiffany Barnes

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience.

Wengran Wang, John Bacher, Amy Isvik, Ally Limke, Sandeep Sthapit, Yang Shi, Benyamin T. Tabarsi, Keith Tran, Veronica Cateté, Tiffany Barnes, Chris Martens, Thomas W. Price

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

2022

Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse.

Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T. Tabarsi, Tiffany Barnes, Chris Martens, Shuyin Jiao, Thomas W. Price

Proceedings of the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, 2022