M. Parvez Rashid

According to our database, M. Parvez Rashid authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies.

M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Generative AI for Peer Assessment Helpfulness Evaluation.

Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

"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

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective.

M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer

Proceedings of the 15th International Conference on Educational Data Mining, 2022

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review.

M. Parvez Rashid, Edward F. Gehringer, Mitchell Young, Divyang Doshi, Qinjin Jia, Yunkai Xiao

Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2019

The design and implementation of AIDA: ancient inscription database and analytics system.

Peter Z. Revesz, M. Parvez Rashid, Yves Tuyishime

Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019