Muntasir Hoq

According to our database, Muntasir Hoq authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Automated Program Repair of Uncompilable Student Code.

Griffin Pitts, Aum Pandya, Darsh Rank, Muntasir Hoq, Tirth Bhatt, Bita Akram

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

INSIGHT: An Explainable, Instructor-Guided AI Assistant for Active Learning in CS1.

Muntasir Hoq, Jessica Vandenberg, Seung Y. Lee, Bradford W. Mott, James C. Lester, Narges Norouzi, Shuyin Jiao, Bita Akram

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

Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components.

Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration.

Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram

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

2025

Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning.

Muntasir Hoq, Griffin Pitts, Andrew S. Lan, Peter Brusilovsky, Bita Akram

CoRR, August, 2025

Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms.

Muntasir Hoq, Jessica Vandenberg, Shuyin Jiao, Seung Y. Lee, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram

CoRR, April, 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

Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning.

Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions.

Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming Classrooms.

Muntasir Hoq, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Narges Norouzi, James C. Lester, Bita Akram

Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 18th Educational Data Mining Conference (EDM 2025), 2025

2024

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises.

Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi

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

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses.

Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram

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

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models.

Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram

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

2023

Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course.

Muntasir Hoq, Peter Brusilovsky, Bita Akram

Proceedings of the 16th International Conference on Educational Data Mining, 2023

SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction.

Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Detecting ChatGPT-Generated Code in a CS1 Course.

Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2021

Sentiment Analysis of Bangla Language Using Deep Learning Approaches.

Muntasir Hoq, Promila Haque, Mohammed Nazim Uddin

Proceedings of the Computing Science, Communication and Security, 2021