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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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projects
Automatic Short Answer Grading (ASAG) at scale using Large Language Models
This project enables instructors, irrespective of their familiarity with LLM technology, to utilize the ASAG system for grading free-form textual short answers.
Designing a new CS1 course for Engineering students
In this project, we propose a comprehensive redesign of CS 101,focusing on re-establishing basic programming fundamentals (CS1) during lectures while integrating diverse engineering applications into lab sections and bi-weekly mini-projects.
A built-in web calculator for PrairieLearn
Following a Universal Design for Learning approach, we build a web-based calculator inside PrairieLearn that has similar functions to the real TI calculators with a more user-friendly interface. This would allow students to access the same calculator interface both inside and outside the testing environment to gain the necessary familiarity.
publications
How Much Deadline Flexibility on Formative Assessments Should We Be Giving to Our Students?
Published in 2023 ASEE Annual Conference & Exposition, 2023
Recommended citation: Zhao, C., & West, M., & Silva, M. (2023, June), How Much Deadline Flexibility on Formative Assessments Should We Be Giving to Our Students? Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43372
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Autograding Mathematical Induction Proofs with Natural Language Processing
Published in International Journal of Artificial Intelligence in Education (in submission), 2024
Recommended citation: Zhao, C., Silva, M., & Poulsen, S. (2024). Autograding Mathematical Induction Proofs with Natural Language Processing (arXiv:2406.10268). arXiv. https://doi.org/10.48550/arXiv.2406.10268
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A User Experience Study of MeetingMayhem: A Web-Based Game to Teach Adversarial Thinking
Published in Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024
Recommended citation: Shan Huang, JiWoo Lee, Chenyan Zhao, Geoffrey Herman, Marc Olano, Linda Oliva, Alan Sherman, "A User Experience Study of MeetingMayhem: A Web-Based Game to Teach Adversarial Thinking." In the proceedings of Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024.
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A Case for Bayesian Grading
Published in SIGCSE Virtual 2024: Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1, 2024
Recommended citation: Craig Zilles, Chenyan Zhao, Yuxuan Chen, Evan Michael Matthews, and Matthew West. 2024. A Case for Bayesian Grading. In Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1 (SIGCSE Virtual 2024). Association for Computing Machinery, New York, NY, USA, 275–278. https://doi.org/10.1145/3649165.3703624
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A Comprehensive Redesign of CS1 for Engineering Students
Published in 2025 ASEE Annual Conference & Exposition, 2025
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Implementing a Tool for Structured Roles in Hybrid Collaborative Learning Environments
Published in 2025 ASEE Annual Conference & Exposition, 2025
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Language Models are Few-Shot Graders
Published in 26th International Conference on Artificial Intelligence in Education, 2025
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate Course Assistant - Numerical Methods
Undergraduate course, University of Illinois Urbana-Champaign, Computer Science, 2021
My first experience of teaching, and also the start of the Computing Education Research path.
Undergraduate Course Assistant - Scientific Visualization
Graduate course, University of Illinois Urbana-Champaign, Computer Science, 2023
Improving the autograder so it can provide better feedback on student code.
Lab Assistant
Summer camp, University of Illinois Urbana-Champaign, Computer Science, 2023
I taught some simple machine learning to high school students in an Internet of Things summer camp.
Graduate Teaching Assistant - Numerical Methods
Undergraduate course, University of Illinois Urbana-Champaign, Computer Science, 2023
I retired as a CA and returned as a TA, taking on even more important duties in the class.