Binglin Chen

According to our database, Binglin Chen authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

"\"I Don't Gamble To Make My Livelihood\": Understanding the Incentives For.

Max Fowler, David H. Smith IV, Binglin Chen, Craig B. Zilles

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

2022

Research on the Residual Bearing Capacity of a Rib Beam Bridge Carriageway Slab Based on Fatigue Cumulative Damage.

Yuxuan Wu, Tianlai Yu, Linlin Zhang, Yifan Wang, Binglin Chen

Symmetry, 2022

Peer-grading "Explain in Plain English": A Bayesian Calibration Method for Categorical Answers.

Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2021

Autograding.

Maxwell Fowler, Binglin Chen, Sushmita Azad, Matthew West, Craig B. Zilles

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

How should we 'Explain in plain English'? Voices from the Community.

Max Fowler, Binglin Chen, Craig B. Zilles

Proceedings of the ICER 2021: ACM Conference on International Computing Education Research, 2021

How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper).

Max Fowler, Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

2020

A Validated Scoring Rubric for Explain-in-Plain-English Questions.

Binglin Chen, Sushmita Azad, Rajarshi Haldar, Matthew West, Craig B. Zilles

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time.

Binglin Chen, Sushmita Azad, Maxwell Fowler, Matthew West, Craig B. Zilles

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Strategies for Deploying Unreliable AI Graders in High-Transparency High-Stakes Exams.

Sushmita Azad, Binglin Chen, Maxwell Fowler, Matthew West, Craig B. Zilles

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks.

Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Effect of Discrete and Continuous Parameter Variation on Difficulty in Automatic Item Generation.

Binglin Chen, Craig B. Zilles, Matthew West, Timothy Bretl

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

How much randomization is needed to deter collaborative cheating on asynchronous exams?

Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Towards a Model-Free Estimate of the Limits to Student Modeling Accuracy.

Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Do Performance Trends Suggest Wide-spread Collaborative Cheating on Asynchronous Exams?

Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017