Sam Lau

16 papers A* 2B 3Journal 2Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools.
CHI
Sam Lau, Kianoosh Boroojeni, Harry Keeling, Jenn Marroquin
2026 — conf
Designing and Implementing Skill Tests at Scale: Frequent, Computer-Based, Proctored Assessments with Minimal Infrastructure Requirements.
SIGCSE (1)
Anastasiya Markova, Anish Kasam, Bryce Hackel, Marina Langlois, Sam Lau
2025 — conf
"I'm not sure, but...": Expert Practices that Enable Effective Code Comprehension in Data Science.
SIGCSE (1)
Christopher Lum, Guoxuan Xu, Sam Lau
2025 J jnl
Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools.
CoRR
Sam Lau, Kianoosh Boroojeni, Harry Keeling, Jenn Marroquin
2025 — conf
How Novices Use Program Visualizations to Understand Code that Manipulates Data Tables.
SIGCSE (1)
Ylesia Wu, Qirui Zheng, Sam Lau
2025 B conf
The Design Space of LLM-Based AI Coding Assistants: An Analysis of 90 Systems in Academia and Industry.
VL/HCC
Sam Lau, Philip J. Guo
2024 — conf
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.
ITiCSE-WGR
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
2024 J jnl
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.
CoRR
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
2024 — conf
How Instructors Incorporate Generative AI into Teaching Computing.
ITiCSE (2)
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
2023 — conf
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.
ICER (1)
Sam Lau, Philip J. Guo
2023 — conf
Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor.
DataEd@SIGMOD
Sam Lau, Sean Kross, Eugene Wu, Philip J. Guo
2022 — conf
Codehound: Helping Instructors Track Pedagogical Code Dependencies in Course Materials.
SPLASH-E
Sam Lau, Philip J. Guo
2022 — conf
How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies.
SIGCSE (1)
Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo
2022 B conf
The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses.
L@S
Sam Lau, Justin Eldridge, Shannon Ellis, Aaron Fraenkel, Marina Langlois, Suraj Rampure, Janine Tiefenbruck, Philip J. Guo
2021 A* conf
TweakIt: Supporting End-User Programmers Who Transmogrify Code.
CHI
Sam Lau, Sruti Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar
2020 B conf
The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry.
VL/HCC
Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo