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2020 – today
- 2024
[c10]Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer:
LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors. EDM 2024- [c9]Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer:
On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. EDM 2024 - [c8]Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer:
Generative AI for Peer Assessment Helpfulness Evaluation. EDM 2024 - [c7]M. Parvez Rashid
, Edward F. Gehringer, Hassan Khosravi:
Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. LAK 2024: 907-914 - 2023
- [c6]M. Parvez Rashid, Divyang Doshi, Sai Venkata Vinay, Qinjin Jia, Edward F. Gehringer:
"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. EDM 2023 - 2022
- [c5]Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. EDM 2022 - [c4]M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer:
Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. EDM 2022 - 2021
- [c3]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM 2021 - [c2]M. Parvez Rashid, Edward F. Gehringer, Mitchell Young, Divyang Doshi, Qinjin Jia, Yunkai Xiao:
Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review. ITHET 2021: 1-9 - [i1]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. CoRR abs/2110.03895 (2021)
2010 – 2019
- 2019
- [c1]Peter Z. Revesz, M. Parvez Rashid, Yves Tuyishime:
The design and implementation of AIDA: ancient inscription database and analytics system. IDEAS 2019: 35:1-35:6
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