All-in-one: Multi-task learning bert models for evaluating peer assessments Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer arXiv preprint arXiv:2110.03895, 2021 | 33 | 2021 |
Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer International Educational Data Mining Society, 2022 | 15 | 2022 |
The design and implementation of AIDA: Ancient Inscription Database and Analytics system PZ Revesz, MP Rashid, Y Tuyishime Proceedings of the 23rd International Database Applications & Engineering …, 2019 | 12 | 2019 |
All-in-one: Multi-task learning BERT models for evaluating peer assessments. arXiv Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer | 5 | 2021 |
Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review MP Rashid, EF Gehringer, M Young, D Doshi, Q Jia, Y Xiao 2021 19th International Conference on Information Technology Based Higher …, 2021 | 4 | 2021 |
Automated Feedback Generation for Student Project Reports: A Data-Driven Approach Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer Journal of Educational Data Mining 14 (3), 132-161, 2022 | 2 | 2022 |
Going beyond" Good Job": Analyzing Helpful Feedback from the Student's Perspective. MP Rashid, Y Xiao, EF Gehringer International Educational Data Mining Society, 2022 | 2 | 2022 |
Navigating (Dis) agreement: AI Assistance to Uncover Peer Feedback Discrepancies MP Rashid, E Gehringer, H Khosravi Proceedings of the 14th Learning Analytics and Knowledge Conference, 907-914, 2024 | | 2024 |
" Can we reach agreement?": A context-and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative … MP Rashid, D Doshi, SV Vinay, Q Jia, EF Gehringer Proceedings of the 16th International Conference on Educational Data Mining …, 2023 | | 2023 |
Journal of Education Data Surface Q Jia, M Young, Y Xiao, J Cu, C Liu, P Rashid, E Gehringer | | |
Journal of Educational Data Mining Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, O Gehringer | | |