R2R – Data Repository

R2R (Rate-to-Rank) is a peer-assessment system that combines numeric grading with ranking-based aggregation.
This repository contains anonymized data from the R2R system and code used for analysis.

Publications

1. Recency Effects in Pairwise Comparisons during Peer Assessment of Oral Presentations

E. Yaakobi, I. Shalev, and L. Dery, “Recency effects in pairwise comparisons during peer assessment of oral presentations,” Assessment & Evaluation in Higher Education, 2026, pp. 1–8. The paper

2. Cognitive-Aware Peer Assessment: Design Implications from a Classroom Deployment

N. Bouskila and L. Dery, "Cognitive-Aware Peer Assessment: Design Implications from a Classroom Deployment," 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS), Kraków, Poland, 2025, pp. 641-646, doi: 10.15439/2025F8584.
The paper

3. Interactive and Iterative Peer Assessment

L. Dery, “Interactive and Iterative Peer Assessment,” in Proceedings of the European Conference on Artificial Intelligence (ECAI 2024), FAIA, vol. 392, pp. 1519–1526, 2024. doi: 10.3233/FAIA240656. The paper

4. Mitigating Generosity Bias in Peer Assessment: A Tool for Oral Class Presentations

L. Dery and M. Lange, "Mitigating Generosity Bias in Peer Assessment: a Tool for Oral Class Presentations," 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), Nicosia, North Cyprus, Cyprus, 2024, pp. 274-276, doi: 10.1109/ICALT61570.2024.00086.
The paper

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Repository Structure

• data/ – anonymized datasets organized by case study
• code/ – analysis notebooks (where applicable)

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Data Notes

All datasets are anonymized and contain no identifying information.

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Contact

Lihi Dery
lihid@ariel.ac.il