Journals / International Journal of Computers in Education / 2026 / Volume: 9 Issue: 1

Extending Moodle’s Workshop Functionality to Support Group Submissions and Evaluations

Paula Diz(Universidade de Vigo)0000-0002-7136-0690
Pages
—
Publication Date
2026-06-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed methodology enhances consistency and transparency in group-based peer assessment and provides a reproducible framework for similar teaching contexts.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Moodle's Workshop plugin is designed for individual assignments and does not adequately handle group submissions, often resulting in discrepancies in the grades assigned to members of the same group.
📊
Key Findings & Data:We illustrate the approach through a case study with first-year Marine Science undergraduates at University of Vigo, where students completed a practical teamwork assignment involving the calculation of the calcium carbonate content of a sediment.
💡
Conclusion & Impact:The proposed methodology enhances consistency and transparency in group-based peer assessment and provides a reproducible framework for similar teaching contexts.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Moodle · peer assessment · teamwork

Abstract

Moodle's Workshop plugin is designed for individual assignments and does not adequately handle group submissions, often resulting in discrepancies in the grades assigned to members of the same group. In this study, we present an external, open-access Python tool that automatically extracts grading data from Moodle Workshop, identifies group membership, calculates submission grades for each group (the same for all team members), and exports final grades to the Moodle gradebook. We illustrate the approach through a case study with first-year Marine Science undergraduates at University of Vigo, where students completed a practical teamwork assignment involving the calculation of the calcium carbonate content of a sediment. Our analysis shows that the modified group grades slightly differ from the default Moodle grades. The proposed methodology enhances consistency and transparency in group-based peer assessment and provides a reproducible framework for similar teaching contexts.

🔖

Cite This Article

Diz, P., Fernández, A. (2026). Extending Moodle’s Workshop Functionality to Support Group Submissions and Evaluations. International Journal of Computers in Education, Volume: 9 Issue: 1. https://doi.org/10.64693/ijce.1925844

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Babo, R., Suhonen, J., & Tukiainen, M. (2020). Improving workgroup assessment with WebAVALIA: The concept, framework and first results. Journal of Information Technology Education Innovations in Practice, 19, 157-184. https://doi.org/10.28945/4627
  2. Chaparro-Peláez, J., Iglesias-Pradas, S., Rodríguez-Sedano, F. J., & Acquila-Natale, E. (2020). Extraction, Processing and Visualization of Peer Assessment Data in Moodle. Applied Sciences, 10(1). https://doi.org/10.3390/app10010163
  3. Cox, J. M., Posada, J. P., & Waldron, R. (2012). Moodle Workshop activities support peer review in Year 1 Science. In M. Brown, M. Hartnett, & T. Stewart (Eds.), ASCILITE 2012 Conference Proceedings: FUTURE CHALLENGES | SUSTAINABLE FUTURES (pp. 231-235). https://doi.org/10.14742/apubs.2012.1653
  4. Dolezal, D., Posekany, A., Roschger, C., Koppensteiner, G., Motschnig, R., & Pucher, R. (2018). Person-Centered Learning using Peer Review Method – An Evaluation and a Concept for Student-Centered Classrooms. International Journal of Engineering Pedagogy, 8(1), 127-147. https://doi.org/10.3991/ijep.v8i1.8099
  5. Fernández, A. (2025). moodle-workshop-group-grades (Version 1.0.0) [Python software]. GitHub. MIT License. Available at: https://github.com/tonechas/moodle-workshop-group-grades/releases/tag/v1.0.0. (Accessed: 2026-05-29)
  6. Gamage, S. H. P. W., Ayres, J. R., & Behrend, M. B. (2022). A systematic review on trends in using Moodle for teaching and learning. International Journal of STEM Education, 9. https://doi.org/10.1186/s40594-021-00323-x
  7. Lamas, F., Irigaray, C., Oteo, C., & Chacón, J. (2005). Selection of the most appropriate method to determine the carbonate content for engineering purposes with particular regard to marls. Engineering Geology, 81(1), 32-41. https://doi.org/10.1016/j.enggeo.2005.07.005
  8. Li, H., Xiong, Y., Hunter, C. V., Guo, X., & Tywoniw, R. (2020). Does peer assessment promote student learning? A meta-analysis. Assessment & Evaluation in Higher Education, 45(2), 193-211. https://doi.org/10.1080/02602938.2019.1620679
  9. Ocampo, J. C. G., & Panadero, E. (2023). Web-Based Peer Assessment Platforms: What Educational Features Influence Learning, Feedback and Social Interaction? In O. Noroozi & B. De Wever (Eds.), The Power of Peer Learning: Fostering Students' Learning Processes and Outcomes (pp. 165-182). Springer International Publishing. https://doi.org/10.1007/978-3-031-29411-2_8
  10. Topping, K. J., Gehringer, E., Khosravi, H., Gudipati, S., Jadhav, K., & Susarla, S. (2025). Enhancing peer assessment with artificial intelligence. International Journal of Educational Technology in Higher Education, 22(1), 3. https://doi.org/10.1186/s41239-024-00501-1
  11. Wilson, M. J., Diao, M. M., & Huang, L. (2015). ‘I'm not here to learn how to mark someone else's stuff’: an investigation of an online peer-to-peer review workshop tool. Assessment & Evaluation in Higher Education, 40(1), 15–32. https://doi.org/10.1080/02602938.2014.881980