Reproduce “Using Elo Rating as a Metric for Comparative Judgement in Educational Assessment” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Andy Gray, Alma Rahat, Tom Crick, Stephen Lindsay, Darren Wallace
Researchers at Swansea University explored the application of the Elo rating system as an alternative metric for comparative judgment in educational assessment, demonstrating its ability to generate highly consistent rankings from pairwise comparisons. The Elo-derived rankings showed a Pearson's correlation of 0.96 and a Kendall's tau of 0.96 with the traditional Bradley-Terry model, indicating its potential for efficient and scalable assessment.
Key insights
- The Elo rating system provides a statistically equivalent and robust method for deriving rankings from comparative judgments, offering a viable alternative to the iterative Bradley-Terry model.
- By limiting individual item exposure and requiring fewer total judgments for reliable ranking, Elo can enhance the efficiency and scalability of comparative judgment in assessment.
- The methodology showcases how algorithms from competitive domains can be adapted to mitigate practical challenges in educational assessment, potentially reducing teacher workload and improving consistency.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.