630 citations · 805 across the 14 of their papers we have counts for
3 papers · 1 filter
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech +1
Dynamic Item Response Models extend the standard Item Response Theory (IRT) to capture temporal dynamics in learner ability. While these models have the potential to allow instruct…
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Anaïs Tack, Ekaterina Kochmar, Zheng Yuan +2
This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of gene…
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
Colin Sullivan, Mo Tiwari, Sebastian Thrun +1
Decision Trees are some of the most popular machine learning models today due to their out-of-the-box performance and interpretability. Often, Decision Trees models are constructed…