Embedded Files
Peer-reviewed Publications
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions
M Hoq, A Rao, R Jaishankar, K Piryani, N Janapati, J Vandenberg, B Mott, J Lester, N Norouzi, B Akram
18th International Conference on Educational Data Mining (EDM), 2025
DOI: [Will be updated after the conference]
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning
A Hridi, M Hoq, Z Gao, C Lynch, R Sahay, S Hosseinalipour, B Akram
18th International Conference on Educational Data Mining (EDM), 2025
DOI: [Will be updated after the conference]
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms
M hoq, J Vandenberg, S Jiao, S Lee, B Mott, N Norouzi, J Lester, B Akram
CHI Workshop on Augmented Educators and AI: Shaping the Future of Human and AI Cooperation in Learning, 2025
DOI: https://arxiv.org/abs/2504.01259
An Automated Approach to Recommending Relevant Worked Examples for Programming Problems
M Hoq, A Patil, K Akhuseyinoglu, P Brusilovsky, B Akram
56th ACM Technical Symposium on Computer Science Education (SIGCSE), 2025
DOI: https://dl.acm.org/doi/10.1145/3641554.3701951
Explaining Explainability: Early Performance Prediction with Student Programming Pattern Profiling
M Hoq, P Brusilovsky, B Akram
Journal of Educational Data Mining, Volume: 16, Issue: 2, 2024
DOI: https://jedm.educationaldatamining.org/index.php/JEDM/article/download/770/220
Automated Identification of Relevant Worked Examples for Programming Problems
M Hoq, A Patil, K Akhuseyinoglu, B Akram, P Brusilovsky
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop at EDM, 2024
DOI: https://ceur-ws.org/Vol-3796/CSEDM-24_paper_9053.pdf
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models
M Hoq, Y Shi, J Leinonen, D Babalola, C Lynch, T Price, B Akram
55th ACM Technical Symposium on Computer Science Education (SIGCSE), 2024
DOI: https://dl.acm.org/doi/10.1145/3626252.3630826
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction
M Hoq, SR Chilla, MA Ranjbar, P Brusilovsky, B Akram
32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023
DOI: https://doi.org/10.1145/3583780.3615047
Detecting ChatGPT-Generated Code in a CS1 Course
M Hoq, Y Shi, J Leinonen, D Babalola, C Lynch, B Akram
AIED 2023 Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation, 2023
DOI: https://ceur-ws.org/Vol-3487/paper2.pdf
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course
M Hoq, P Brusilovsky, B Akram
16th International Conference on Educational Data Mining (EDM), 2023
DOI: https://doi.org/10.5281/zenodo.8115693
SANN: A Subtree-based Attention Neural Network Model for Student Success Prediction Through Source Code Analysis
M Hoq, P Brusilovsky, B Akram
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop at EDM, 2022
DOI: https://doi.org/10.5281/zenodo.6983496
Exploring Sequential Code Embeddings for Predicting Student Success in an Introductory Programming Course
S Yoder, M Hoq, P Brusilovsky, B Akram
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop at EDM, 2022
DOI: https://doi.org/10.5281/zenodo.6983195
Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson's Disease Detection
M Hoq, MN Uddin, SB Park
Diagnostics, Volume: 11, Issue: 6, 2021
DOI: https://doi.org/10.3390/diagnostics11061076
Local and Global Feature Based Hybrid Deep Learning Model for Bangla Parts of Speech Tagging
M Hoq, KHI Arif, MN Uddin
2nd International Conference on Emerging Technology (INCET), 2021
DOI: https://doi.org/10.1109/INCET51464.2021.9456108
Sentiment Analysis of Bangla Language Using Deep Learning Approach
M Hoq, P Haque, MN Uddin
2nd International Conference on Computing Science, Communication and Security, 2021
DOI: https://doi.org/10.1007/978-3-030-76776-1_10
Artificial Neural Network Model for Hepatitis C Stage Detection
D Sarma, T Mittra, M Hoq, P Haque, F Quasem, MJ Alam, MAM Bhuiya, S Hossain
EDU Journal of Computer and Electrical Engineering, Volume: 1, Issue: 1, 2020
DOI: https://doi.org/10.46603/ejcee.v1i1.6
A Hybrid Deep Learning Model with Evolutionary Algorithm for Short-Term Load Forecasting
A Al Mamun, M Hoq, E Hossain, R Bayindir
8th International Conference on Renewable Energy Research and Applications (ICRERA), 2019
Peer-reviewed Posters
Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses
M Hoq, J Vandenberg, B Mott, J Lester, N Norouzi, B Akram
55th ACM Technical Symposium on Computer Science Education (SIGCSE), 2024
DOI: https://dl.acm.org/doi/10.1145/3626253.3635575
Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises
N Niousha, M Hoq, N Norouzi, B Akram
55th ACM Technical Symposium on Computer Science Education (SIGCSE), 2024
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