Sam Lau

According to our database, Sam Lau authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

How Instructors Incorporate Generative AI into Teaching Computing.

James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot.

Sam Lau, Philip J. Guo

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

Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor.

Sam Lau, Sean Kross, Eugene Wu, Philip J. Guo

Proceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research, 2023

2022

Codehound: Helping Instructors Track Pedagogical Code Dependencies in Course Materials.

Sam Lau, Philip J. Guo

Proceedings of the 2022 ACM SIGPLAN International Symposium on SPLASH-E, 2022

How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies.

Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo

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

The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses.

Sam Lau, Justin Eldridge, Shannon Ellis, Aaron Fraenkel, Marina Langlois, Suraj Rampure, Janine Tiefenbruck, Philip J. Guo

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

2021

TweakIt: Supporting End-User Programmers Who Transmogrify Code.

Sam Lau, Sruti Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry.

Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2020