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Binglin Chen
Binglin Chen
Verified email at illinois.edu
Title
Cited by
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Year
How much randomization is needed to deter collaborative cheating on asynchronous exams?
B Chen, M West, C Zilles
Proceedings of the fifth annual ACM conference on learning at scale, 1-10, 2018
522018
Autograding “Explain in Plain English” questions using NLP
M Fowler, B Chen, S Azad, M West, C Zilles
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
362021
Do performance trends suggest wide-spread collaborative cheating on asynchronous exams?
B Chen, M West, C Zilles
Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 111-120, 2017
322017
A validated scoring rubric for explain-in-plain-english questions
B Chen, S Azad, R Haldar, M West, C Zilles
Proceedings of the 51st ACM Technical Symposium on Computer Science …, 2020
262020
Strategies for deploying unreliable AI graders in high-transparency high-stakes exams
S Azad, B Chen, M Fowler, M West, C Zilles
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
262020
Learning to cheat: quantifying changes in score advantage of unproctored assessments over time
B Chen, S Azad, M Fowler, M West, C Zilles
Proceedings of the Seventh ACM Conference on Learning@ Scale, 197-206, 2020
222020
How should we ‘Explain in plain English’? Voices from the Community
M Fowler, B Chen, C Zilles
Proceedings of the 17th ACM conference on international computing education …, 2021
122021
Analyzing the decline of student scores over time in self‐scheduled asynchronous exams
B Chen, M West, C Zilles
Journal of Engineering Education 108 (4), 574-594, 2019
92019
Effect of discrete and continuous parameter variation on difficulty in automatic item generation
B Chen, C Zilles, M West, T Bretl
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
82019
Peer-grading" Explain in Plain English" Questions: A Bayesian Calibration Method for Categorical Answers
B Chen, M West, C Zilles
Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022
3*2022
Towards a Model-Free Estimate of the Limits to Student Modeling Accuracy.
B Chen, M West, C Ziles
International Educational Data Mining Society, 2018
32018
Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks
B Chen, M West, C Zilles
Proceedings of the Sixth (2019) ACM Conference on Learning@ Scale, 1-4, 2019
22019
How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper).
M Fowler, B Chen, M West, CB Zilles
EDM (Workshops), 2021
12021
Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course
B Chen, CM Lewis, M West, C Zilles
Proceedings of the Eleventh ACM Conference on Learning@ Scale, 75-85, 2024
2024
“I Don’t Gamble To Make My Livelihood”: Understanding the Incentives For, Needs Of, and Motivations Surrounding Open Educational Resources in Computing
M Fowler, DH Smith IV, B Chen, C Zilles
Proceedings of the 2023 ACM Conference on International Computing Education …, 2023
2023
Towards scalable, diverse, and secure assessment in college stem education
B Chen
University of Illinois at Urbana-Champaign, 2022
2022
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