| 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 | 53 | 2018 |
| 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 ¡K, 2021 | 37 | 2021 |
| 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 | 32 | 2017 |
| 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 ¡K, 2020 | 29 | 2020 |
| 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 ¡K, 2020 | 27 | 2020 |
| 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 | 23 | 2020 |
| 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 ¡K, 2021 | 13 | 2021 |
| 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 | 9 | 2019 |
| 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 ¡K, 2019 | 8 | 2019 |
| 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 ¡K, 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 | 3 | 2018 |
| 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 | 2 | 2019 |
| 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 | 1 | 2021 |
| 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 ¡K, 2023 | | 2023 |
| Towards scalable, diverse, and secure assessment in college stem education B Chen University of Illinois at Urbana-Champaign, 2022 | | 2022 |
