Case Studies
Collection of educational research and case studies using PrairieLearn
- A generalized framework for describing question randomization, R. Mahinpei, I. Xu, S. Wolfman, F. Moosvi. SIGCSE 2024
- How much deadline flexibility on formative assessments should we be giving to our students?, C. Zhao, M. West, and M. Silva. ASEE 2023.
- A' for All (as time and interest allow), D. Garcia. A. Fox, C. Zilles, M. West, M. Silva, N. Terrell, S. Russell, E. Ambrosio, and F. Shakir. SIGCSE 2023
- Integrating diverse learning tools using the PrairieLearn platform, M. West, N. Walters, M. Silva, T. Bretl, and C. Zilles. SIGCSE 2021
- A quantitative analysis of when students choose to grade questions on computerized exams with multiple attempts, A. Verma, T. Bretl, M. West, and C. Zilles. L@S 2020.
- Caches as an example of machine-gradable exam questions for complex engineering systems, S. Mahmood, M. Zhao, O. Khan and G. Herman. FIE 2020.
- A simple and efficient markup tool to generate drawing-based online assessments, N. Nytko, M. West, and M. Silva. ASEE 2020.
- Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks, B. Chen, M. West, and C. Zilles. L@S 2019.
- Reducing difficulty variance in randomized assessments, P. Sud, M. West, and C. Zilles. ASEE 2019.
- Algorithmic grading strategies for computerized drawing assessments, M. Silva and M. West. ASEE 2017.
- PrairieLearn: Mastery-based online problem solving with adaptive scoring and recommendations driven by machine learning, M. West, G. L. Herman, and C. Zilles. ASEE 2015.
- Determining the best policies for second-chance tests for STEM students, C. Emeka, D. Smith, C. Zilles, M. West, G. L. Herman, and T. Bretl. ASEE 2023.
- Second-chance testing as a means of reducing students' test anxiety and improving outcomes, C. Emeka, C. Zilles, M. West, G. Herman, and T. Bretl. ASEE 2023.
- Investigating the effects of testing frequency on programming performance and students' behavior, D. Smith, C. Emeka, M. Fowler, M. West, and C. Zilles. ASEE 2023.
- First try, no (autograder) warm up: motivating quality coding submissions, L. Butler and G. Herman. ASEE 2023.
- Students perceptions and behavior related to second-chance testing, C. Emeka, T. Bretl, G. Herman, M. West, and C. Zilles. FIE 2021.
- Comparison of grade replacement and weighted averages for second-chance exams, G. Herman, Z. Cai, T. Bretl, C. Zilles, and M. West. ICER 2020.
- Frequent mastery testing with second-chance exams leads to enhanced student learning in undergraduate STEM, J. Morphew, M. Silva, G. Herman, and M. West. Applied Cognitive Psychology 2019.
- Second-chance testing course policies and student behavior, G. Herman, K. Varghese, and C. Zilles. FIE 2019.
- One solution to addressing assessment logistical problems: An experience setting up and operating an in-person testing center, K. Downey, K. Miller, M. Silva, and C. Zilles. SIGCSE 2024.
- Computerized exam reviews: In-person and individualized feedback to students after a computerized exam, W. L. Chang, M. West, C. Zilles, D. Mussulman, and C. Sacris. ASEE 2020.
- Every university should have a computer-based testing facility, C. Zilles, M. West, G. Herman, and T. Bretl. CSEDU 2019.
- Student and instructor experiences with a computer-based testing facility, C. Zilles, M. West, D. Mussulman, and C. Sacris. EDULEARN 2018.
- Making testing less trying: Lessons learned from operating a computer-based testing facility, C. Zilles, M. West, D. Mussulman, and T. Bretl. FIE 2018.
- Using a computer-based testing facility to improve student learning in a programming languages and compilers course, T. Nip, E. Gunter, G. Herman, J. Morphew, and M. West. SIGCSE 2018.
- Measuring revealed student scheduling preferences using constrained discrete choice models, J. Bailey, M. West, and C. Zilles. ASEE 2017
- Modeling student scheduling preferences in a computer-based testing facility, M. West and C. Zilles. L@S 2016.
- Computerized testing: A vision and initial experiences, C. Zilles, R. T. Deloatch, J. Bailey, B. B. Khattar, W. Fagen, C. Heeren, D. Mussulman, and M. West. ASEE 2015.
- Student behavior in selecting an exam time in a computer-based testing facility, C. Zilles, M. West, and D. Mussulman. ASEE 2015.
- Comparing the security of three proctoring regimens for Bring-Your-Own-Device exams, R. Gulati, M. West, C. Zilles, and M. Silva. SIGCSE 2024.
- Comparing student outcomes in online vs. in-person sections of an on-campus computer science course, R. Gulati, M. West, C. Zilles, and M. Silva. ASEE 2023.
- Are we fair? Quantifying score impacts of computer science exams with randomized question pools, M. Fowler, D. Smith, C. Emeka, M. West and C. Zilles. SIGCSE 2022.
- Learning to cheat: Quantifying changes in score advantage of unproctored assessments over time, B. Chen, S. Azad, M. Fowler, M. West, and C. Zilles. L@S 2020.
- Measuring the score advantage on asynchronous exams in an undergraduate CS course, M. Silva, C. Zilles, and M. West. SIGCSE 2020.
- Analyzing the decline of student scores over time in self‐scheduled asynchronous exams, B. Chen, M. West, and C. Zilles. Journal of Engineering Education, 2019.
- How much randomization is needed to deter collaborative cheating on asynchronous exams?, B. Chen, M. West, and C. Zilles. L@S 2018.
- Do performance trends suggest wide-spread collaborative cheating on asynchronous exams?, B. Chen, M. West, and C. Zilles. L@S 2017.
- Evaluating Large Language Model code generation as an autograding mechanism for “Explain in Plain English” questions, D. Smith and C. Zilles. SIGCSE 2024
- Am I wrong, or is the autograder wrong? Effects of AI grading mistakes on learnings, T. Li, S. Hsu, M. Fowler, Z. Zhang, C. Zilles, and K. Karahalios. ICER 2023.
- Peer-grading Explain in plain English questions: A Bayesian calibration method for categorical answers, B. Chen, M. West, and C. Zilles. SIGCSE 2022.
- Autograding Explain in Plain English questions using NLP, M. Fowler, B. Chen, S. Azad, M. West, and C. Zilles. SIGCSE 2021.
- A validated scoring rubric for Explain-in-Plain-English questions, B. Chen, S. Azad, R. Haldar, M. West, and C. Zilles. SIGCSE 2020.
- Exploring computing students' sense of belonging before and after a collaborative learning course, M. Fong, S. Huang, A. Alawini, M. Silva, and G. Herman. SIGCSE 2024.
- Developing tools, pedagogies, and policies for computer-based collaborative learning activities, M. Fong, L. Butler, A. Alawini, G. Herman, and M. Silva. ASEE 2023.
- An analytic comparison of student-scheduled and instructor-scheduled collaborative learning in online contexts, G. Herman, Y. Jiang, Y. Jiang, S. Poulsen, M. West, and M. Silva. ASEE 2022.
- "I don’t gamble to make my livelihood”: Understanding the incentives for, needs of, and motivations surrounding open educational resources in computing, M. Fowler, D. Smith, B. Chen, and C. Zilles. ICER 2023.
- Discovering, autogenerating, and evaluating distractors for Python Parsons problems in CS1, D. Smith and C. Zilles. SIGCSE 2023.
- On Students' Ability to resolve their own tracing errors through code execution, M. Hassan and C. Zilles. SIGCSE 2023.
- Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study, M. Fowler, D. Smith, M. Hassan, S. Poulsen, M. West, and C. Zilles. Computer Science Education 2022.
- Disentangling the learning gains from reading a book chapter and completing Proof Blocks problems, S. Poulsen, Y. Gerner, H. Chen, B. Cosman, M. West, and G. Herman. SIGCSE 2024.
- Solving Proof Block problems using Large Language Models, S. Poulsen, S. Sarsa, J. Prather, J. Leinonen, B. Becker, A. Hellas, P. Denny, and B. Reeves. SIGCSE 2024.
- Using context-free grammars to scaffold and automate feedback in precise mathematical writing, J. Xia and C. Zilles. SIGCSE 2023.
- Efficiency of learning from Proof Blocks versus writing proofs, S. Poulsen, Y. Gerner, B. Cosman, M. West, and G. Herman. SIGCSE 2023.
- Efficient feedback and partial credit grading for Proof Blocks problems, S. Poulsen, S. Kulkarni, G. Herman, and M. West. AIED 2023.
- Proof Blocks: autogradable scaffolding activities for learning to write proofs, S. Poulsen, M. Viswanathan, G. Herman, and M. West. ITiCSE 2022.
- Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study, M. Fowler, D. Smith, M. Hassan, S. Poulsen, M. West, and C. Zilles. Computer Science Education 2022.
- Benchmarking partial credit grading algorithms for Proof Blocks problems, S. Poulsen, S. Kulkarni, G. Herman, and M. West. AIED 2022.
- Evaluating Proof Blocks Problems as Exam Questions, S. Poulsen, M. Viswanathan, G. Herman, and M. West. ICER 2021.
- Analyzing student SQL solutions via hierarchical clustering and sequence alignment scores, S. Yang, G. Herman, and A. Alawini. DataEd 2022.
- Insights from student solutions to MongoDB homework problems, R. Alkhabaz, S. Poulsen, M. Chen, and A. Alawini. ITiCSE 2021.
- A Quantitative analysis of student solutions to graph database queries, M. Chen, S. Poulsen, R. Alkhabaz, and A. Alawini. SIGCSE 2021.
- Insights from student solutions to SQL homework problems, S. Poulsen, L. Butler, A. Alawini, and G. Herman. ITiCSE 2020.
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