SU\G(𝔸)/K·U

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All published works (3)

Action Title Date Authors
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Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT 2025-02-21 Danielle R. Thomas Conrad Borchers Sanjit Kakarla Jionghao Lin Shambhavi Bhushan Boyuan Guo Erin Gatz Kenneth R. Koedinger
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Do Tutors Learn from Equity Training and Can Generative AI Assess It? 2025-02-21 Danielle R. Thomas Conrad Borchers Sanjit Kakarla Jionghao Lin Shambhavi Bhushan Boyuan Guo Erin Gatz Kenneth R. Koedinger
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Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors 2024-01-01 Sanjit Kakarla Danielle R. Thomas Jionghao Lin Shivang Gupta Kenneth R. Koedinger

Common Coauthors

Coauthor Papers Together
Danielle R. Thomas 3
Jionghao Lin 3
Kenneth R. Koedinger 3
Erin Gatz 2
Conrad Borchers 2
Shambhavi Bhushan 2
Boyuan Guo 2
Shivang Gupta 1

Commonly Cited References

Action Title Date Authors # of times referenced
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Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education 2024-07-09 Owen Henkel Libby Hills Adam Boxer Bill Roberts Zachary Levonian 2
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The power of feedback and reflection: Testing an online scenario-based learning intervention for student teachers 2021-04-02 Lisa Bardach Robert M. Klassen Tracy L. Durksen Jade V. Rushby Keiko C. P. Bostwick Lynn Sheridan 1
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A Survey on Evaluation of Large Language Models 2024-01-23 Yupeng Chang Xu Wang Jindong Wang Yuan Wu Linyi Yang Kaijie Zhu Hao Chen Xiaoyuan Yi Cunxiang Wang Yidong Wang 1
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Applying large language models and chain-of-thought for automatic scoring 2024-02-27 Gyeong-Geon Lee Ehsan Latif Xuansheng Wu Ninghao Liu Xiaoming Zhaı 1