Sam Lau

According to our database, Sam Lau authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Improving LLM-Generated Educational Content: A Case Study on Prototyping, Prompt Engineering, and Evaluating a Tool for Generating Programming Problems for Data Science.

Jiaen Yu, Ylesia Wu, Gabriel Cha, Ayush Shah, Samuel Lau

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Designing and Implementing Skill Tests at Scale: Frequent, Computer-Based, Proctored Assessments with Minimal Infrastructure Requirements.

Anastasiya Markova, Anish Kasam, Bryce Hackel, Marina Langlois, Sam Lau

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools.

Sam Lau, Kianoosh Boroojeni, Harry Keeling, Jenn Marroquin

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

The Design Space of LLM-Based AI Coding Assistants: An Analysis of 90 Systems in Academia and Industry.

Sam Lau, Philip J. Guo

Proceedings of the 2025 IEEE Symposium on Visual Languages and Human-Centric Computing, 2025

How Novices Use Program Visualizations to Understand Code that Manipulates Data Tables.

Ylesia Wu, Qirui Zheng, Sam Lau

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

"I'm not sure, but...": Expert Practices that Enable Effective Code Comprehension in Data Science.

Christopher Lum, Guoxuan Xu, Sam Lau

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

2024

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.

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

CoRR, 2024

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.

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

Proceedings of the 2024 Working Group Reports on Innovation and Technology in Computer Science Education, 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

Instructor-Centered Design of Tools to Support Teaching Programming and Data Science At Scale

Samuel Lau

PhD thesis, 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

2019

Experiment Reconstruction Reduces Fixation on Surface Details of Explanations.

Samuel Lau, Tricia J. Ngoon, Vineet Pandey, Scott R. Klemmer

Proceedings of the 2019 ACM SIGCHI Conference on Creativity and Cognition, 2019

2018

Deep Knowledge Tracing for Free-Form Student Code Progression.

Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018