Overview

Teaching Interests

Algorithms, Data Structures, Web Development, Computer Organization, Computer Architecture, Software Development, Web Development, Theory of Computation, Databases, and Discrete Mathematics.

Research Areas

CS Education; Measuring and analyzing evolving networks, including application-specific graphs; Collaborations in Digital Humanities; Algorithms; Network Analysis; Theory of Computation; Data Science; and Computer Architecture.

Email Policy

It is my goal to focus time on answering emails between 9am-10am and 2pm-3pm during the week (Monday through Friday).

Fall 2024

This semester, I am on paternity leave.

Next semester, I am teaching:

Courses Taught

I have recently taught:

Selected Publications and Talks

Nada Basit, Mark Floryan, John R. Hott, Allen Huo, Jackson Le, and Ivan Zheng. 2025. ASCI: AI-Smart Classroom Initiative. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education (SIGCSE 2025). Association for Computing Machinery, New York, NY, USA. to appear

Barrett Ruth, John R. Hott. 2025. Auto-grading in Computing Education: Perceptions and Use. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education (SIGCSE 2025). Association for Computing Machinery, New York, NY, USA. to appear

Alice Wanner, Ryan Lenfant, Thomas Lam, Michelle Cheng, John R. Hott, and Raymond Pettit. 2024. Office Hours and Online Forum Engagement in Introductory CS Courses. 54th Annual Frontiers in Education. Washington, DC, USA.

John R. Hott. 2024. Analyzing Student Performance with Free Late Submission Days. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3626253.3635562

Ryan Lenfant, Alice Wanner, John R. Hott, and Raymond Pettit. 2023. Project-Based and Assignment-Based Courses: A Study of Piazza Engagement and Gender in Online Courses. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA, 138–144. https://doi.org/10.1145/3587102.3588833

Jeremiah Blanchard, John R. Hott, Vincent Berry, Rebecca Carroll, Bob Edmison, Richard Glassey, Oscar Karnalim, Brian Plancher, and Seán Russell. 2022. Stop Reinventing the Wheel! Promoting Community Software in Computing Education. In Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education (ITiCSE-WGR '22). Association for Computing Machinery, New York, NY, USA, 261–292. https://doi.org/10.1145/3571785.3574129

Angela A. Siegel, Mark Zarb, Bedour Alshaigy, Jeremiah Blanchard, Tom Crick, Richard Glassey, John R. Hott, Celine Latulipe, Charles Riedesel, Mali Senapathi, Simon, and David Williams. 2022. Teaching through a Global Pandemic: Educational Landscapes Before, During and After COVID-19. In Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education (ITiCSE-WGR '21). Association for Computing Machinery, New York, NY, USA, 1–25. https://doi.org/10.1145/3502870.3506565

Emma Choi, Lisa Meng, and John R. Hott. 2021. Open Source Software Practices in CS2. In Proceedings of the 21st Koli Calling International Conference on Computing Education Research (Koli Calling '21). Association for Computing Machinery, New York, NY, USA, Article 18, 1–5. https://doi.org/10.1145/3488042.3488047

Xinyue Lin, James Connors, Chang Lim, and John R. Hott. 2021. How Do Students Collaborate? Analyzing Group Choice in a Collaborative Learning Environment. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 212–218. https://doi.org/10.1145/3408877.3432389

Adrian Thinnyun, Ryan Lenfant, Raymond Pettit, and John R. Hott. 2021. Gender and Engagement in CS Courses on Piazza. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 438–444. https://doi.org/10.1145/3408877.3432395

Nathan Brunelle and John R. Hott. 2020. Ask Me Anything: Assessing Academic Dishonesty. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE '20). Association for Computing Machinery, New York, NY, USA, 1375. https://doi.org/10.1145/3328778.3372658