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2020 – today
- 2025
[c4]Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. EDM 2025- [i2]Leonora Kaldaras, Tingting Li, Prudence Djagba, Kevin C. Haudek, Joseph Krajcik:
Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom. CoRR abs/2509.18157 (2025) - [i1]Shyam Agarwal, Ali Moghimi, Kevin C. Haudek:
AI-Enabled grading with near-domain data for scaling feedback with human-level accuracy. CoRR abs/2512.04113 (2025) - 2024
- [j1]Kevin C. Haudek
, Xiaoming Zhai:
Examining the Effect of Assessment Construct Characteristics on Machine Learning Scoring of Scientific Argumentation. Int. J. Artif. Intell. Educ. 34(4): 1482-1509 (2024)
2010 – 2019
- 2019
- [c3]Hee-Sun Lee, Danielle S. McNamara, Zoë Buck Bracey, Ou Lydia Liu, Libby F. Gerard, Bruce Sherin, Chris Wilson, Amy Pallant, Marcia C. Linn, Kevin C. Haudek, Jonathan Osborne:
Computerized Text Analysis: Assessment and Research Potentials for Promoting Learning. CSCL 2019 - 2013
- [c2]Mark Urban-Lurain, Luanna Prevost, Kevin C. Haudek, Emily Norton Henry, Mathew Berry, John E. Merrill:
Using computerized lexical analysis of student writing to support Just-in-Time teaching in large enrollment STEM courses. FIE 2013: 1709-1715 - 2012
- [c1]Luanna Prevost, Kevin C. Haudek, Mark Urban-Lurain, John Merrill:
Examining student constructed explanations of thermodynamics using lexical analysis. FIE 2012: 1-6
Coauthor Index
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