MR

M Parvez Rashid

College of Charleston, North Carolina State University, University of Nebraska–Lincoln

Research areas: Social Sciences · Education · Student Assessment and Feedback · Online Learning and Analytics · Innovative Teaching and Learning Methods

ORCID iD 0009-0007-1796-9079

Employment

Education

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

  • A regression‐based waveform interpretation model for accurate soil moisture estimation under incomplete time domain reflectometry probe insertions
    Ousswa Chouchane, Cody Pacquette, Scott B. Jones
    +3 more
    Vadose Zone Journal 2026 DOI: 10.1002/vzj2.70102
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  • Scaling Success: A Systematic Review of Peer Grading Strategies for Accuracy, Efficiency, and Learning in Contemporary Education
    Uchswas Paul, Ananya Mantravadi, Jash Shah
    +4 more
    2025 IEEE Frontiers in Education Conference (FIE) 2025 DOI: 10.1109/FIE63693.2025.11328205
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  • Interactive Rubric Generator for Instructor's Assessment Using Prompt Engineering and Large Language Models
    Haoze Du, Parvez Rashid, Qinjin Jia
    +1 more
    • Edward F. Gehringer
    2024 IEEE Frontiers in Education Conference (FIE) 2024 DOI: 10.1109/fie61694.2024.10893448
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  • Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies
    M Parvez Rashid, Edward F. Gehringer, Hassan Khosravi
    2024 DOI: 10.1145/3636555.3636931
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  • Generative ai for peer assessment helpfulness evaluation
    Proceedings of the 17th International Conference on Educational Data Mining 2024
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  • Interactive Rubric Generator for Instructor's Assessment Using Prompt Engineering and Large Language Models
    2024 IEEE Frontiers in Education Conference (FIE) 2024
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  • LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors
    Proceedings of the 17th International Conference on Educational Data Mining 2024
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  • Navigating (Dis) agreement: AI Assistance to Uncover Peer Feedback Discrepancies
    Proceedings of the 14th Learning Analytics and Knowledge Conference 2024
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  • On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments
    Proceedings of the 17th International Conference on Educational Data Mining 2024
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  • Towards Quality Assessment in the Peer-review Process Using AI and Learning Analytics.
    2024
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  • " 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
    Proceedings of the 16th International Conference on Educational Data Mining 2023
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  • Automated feedback generation for student project reports: A data-driven approach
    Journal of Educational Data Mining 2022
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  • Going beyond" Good Job": Analyzing Helpful Feedback from the Student's Perspective.
    International Educational Data Mining Society 2022
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  • Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports.
    International Educational Data Mining Society 2022
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  • ALL-IN-ONE: Multi-task learning BERT models for evaluating peer assessments. arXiv
    2021
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  • All-in-one: Multi-task learning bert models for evaluating peer assessments
    arXiv preprint arXiv:2110.03895 2021
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  • Peer Assessment Rubric Analyzer: An NLP approach to analyzing rubric items for better peer-review
    2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET) 2021
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  • The design and implementation of AIDA: Ancient Inscription Database and Analytics system
    Proceedings of the 23rd International Database Applications & Engineering Symposium 2019
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  • Optimizing Peer Grading: A Systematic Literature Review of Reviewer Assignment Strategies and Quantity of Reviewers
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