Muntasir Hoq
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
4
Active years
2023–2026
Best venue rank
A
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | 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 |
| 2026 | SIGCSE | 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 |
| 2026 | SIGCSE | Automated Program Repair of Uncompilable Student Code. | Griffin Pitts, Aum Pandya, Darsh Rank, Muntasir Hoq, Tirth Bhatt, Bita Akram |
| 2025 | EDM | 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 |
| 2025 | EDM | 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 |
| 2025 | EDM | 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 |
| 2025 | SIGCSE | An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. | Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky, Bita Akram |
| 2024 | EDM | Automated Identification of Relevant Worked Examples for Programming Problems. | Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky |
| 2024 | SIGCSE | 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 |
| 2024 | SIGCSE | Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. | Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram |
| 2024 | SIGCSE | Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. | Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi |
| 2023 | AIED | Detecting ChatGPT-Generated Code in a CS1 Course. | Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram |
| 2023 | CIKM | SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. | Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram |
| 2023 | EDM | Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. | Muntasir Hoq, Peter Brusilovsky, Bita Akram |