2 citations · 2 across the 4 of their papers we have counts for
5 papers
Revisiting the Regularity of Student Learning Rate: Sensitivity to Which Observations Are Included
Hansol Lee, Guilherme Lichand, Cristina Barnard +4
Mixed-effects models fit to observational practice data are widely used in learning analytics to estimate student-level variation in initial knowledge and learning rate, and the re…
A Large-Scale Observational Study on Obtaining Lightweight, Randomized Weekly Student Feedback
Yunsung Kim, Hansol Lee, Candace Thille +1
Conventional methods of obtaining student feedback on course experience face a fundamental tradeoff between feedback frequency and quality: as feedback requests become more frequen…
Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey +2
AI-driven automated scoring systems offer scalable and efficient means of evaluating complex student-generated responses. Yet, despite increasing demand for transparency and interp…
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…
Computer-Aided Personalized Education
Rajeev Alur, Richard Baraniuk, Rastislav Bodik +10
The shortage of people trained in STEM fields is becoming acute, and universities and colleges are straining to satisfy this demand. In the case of computer science, for instance,…