| 2024 | EDM | LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors. | Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer |
| 2024 | EDM | On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. | Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer |
| 2024 | EDM | Generative AI for Peer Assessment Helpfulness Evaluation. | Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer |
| 2024 | LAK | Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. | M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi |
| 2023 | EDM | "Can we reach agreement?": A context- and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative feedback. | M. Parvez Rashid, Divyang Doshi, Sai Venkata Vinay, Qinjin Jia, Edward F. Gehringer |
| 2022 | EDM | Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. | Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer |
| 2022 | EDM | Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. | M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer |
| 2021 | EDM | ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. | Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer |
| 2019 | IDEAS | The design and implementation of AIDA: ancient inscription database and analytics system. | Peter Z. Revesz, M. Parvez Rashid, Yves Tuyishime |