Philip J. Guo

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 48

Top Topics

Cognitive Apprenticeship

Top Venues

Publications

Alice Mira Chung, Philip J. Guo
Perpetual Teaching Across Temporary Places: Conditions, Motivations, and Practices of Media Artists Teaching Computing Workshops. ICER (1) (2024)
Devamardeep Hayatpur, Brian Hempel, Kathy Chen, William Duan, Philip J. Guo, Haijun Xia
Taking ASCII Drawings Seriously: How Programmers Diagram Code. CHI (2024)
Thomas D. LaToza, Esther Guerra, Philip J. Guo
Foreword. VL/HCC (2023)
Philip J. Guo
Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT. Comput. Sci. Eng. 25 (3) (2023)
Sam Lau, Sean Kross, Eugene Wu, Philip J. Guo
Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor. DataEd@SIGMOD (2023)
Sam Lau, Philip J. Guo
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) (2022)
Kendall Nakai, Philip J. Guo
Uncovering the Hidden Curriculum of University Computing Majors via Undergraduate-Written Mentoring Guides: A Learner-Centered Design Workflow. ICER (1) (2022)
Ian Drosos, Philip J. Guo
The Design Space of Livestreaming Equipment Setups: Tradeoffs, Challenges, and Opportunities. Conference on Designing Interactive Systems (2022)
Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo
How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies. SIGCSE (1) (2022)
Kendall Nakai, Philip J. Guo
Scaling Up Access to the Hidden Curriculum: A Design Methodology for Creating Undergraduate Mentoring Guides. L@S (2022)
Sean Kross, Philip J. Guo
Five Pedagogical Principles of a User-Centered Design Course that Prepares Computing Undergraduates for Industry Jobs. SIGCSE (1) (2022)
Georgios Sakkas, Madeline Endres, Philip J. Guo, Westley Weimer, Ranjit Jhala
Seq2Parse: neurosymbolic parse error repair. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Sam Lau, Justin Eldridge, Shannon Ellis, Aaron Fraenkel, Marina Langlois, Suraj Rampure, Janine Tiefenbruck, Philip J. Guo
The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses. L@S (2022)
Rimika Chaudhury, Philip J. Guo, Parmit K. Chilana
"There's no way to keep up!": Diverse Motivations and Challenges Faced by Informal Learners of ML. VL/HCC (2022)
Sam Lau, Philip J. Guo
Codehound: Helping Instructors Track Pedagogical Code Dependencies in Course Materials. SPLASH-E (2022)
Sean Kross, Philip J. Guo
Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Julia M. Markel, Philip J. Guo
Inside the Mind of a CS Undergraduate TA: A Firsthand Account of Undergraduate Peer Tutoring in Computer Labs. SIGCSE (2021)
Sean Kross, Philip J. Guo
Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia. CoRR (2021)
Ian Drosos, Philip J. Guo
Streamers Teaching Programming, Art, and Gaming: Cognitive Apprenticeship, Serendipitous Teachable Moments, and Tacit Expert Knowledge. VL/HCC (2021)
Priyan Vaithilingam, Julia M. Markel, Philip J. Guo
Papercode: Generating Paper-Based User Interfaces for Code Review, Annotation, and Teaching. UIST (Adjunct Volume) (2020)
Philip J. Guo, Julia M. Markel, Xiong Zhang
Learnersourcing at Scale to Overcome Expert Blind Spots for Introductory Programming: A Three-Year Deployment Study on the Python Tutor Website. L@S (2020)
Ian Drosos, Titus Barik, Philip J. Guo, Robert DeLine, Sumit Gulwani
Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists. CHI (2020)
Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo
The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry. VL/HCC (2020)
Carrie J. Cai, Philip J. Guo
Software Developers Learning Machine Learning: Motivations, Hurdles, and Desires. VL/HCC (2019)
Charles H. Chen, Philip J. Guo
Improv: Teaching Programming at Scale via Live Coding. L@S (2019)
Priyan Vaithilingam, Philip J. Guo
Bespoke: Interactively Synthesizing Custom GUIs from Command-Line Applications By Demonstration. UIST (2019)
Xiong Zhang, Philip J. Guo
Mallard: Turn the Web into a Contextualized Prototyping Environment for Machine Learning. UIST (2019)
Adam Kiezun, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst, Vijay Ganesh
Theory and practice of string solvers (invited talk abstract). ISSTA (2019)
Sean Kross, Philip J. Guo
Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges. CHI (2019)
Sean Kross, Philip J. Guo
End-User Programmers Repurposing End-User Programming Tools to Foster Diversity in Adult End-User Programming Education. VL/HCC (2019)
April Yi Wang, Ryan Mitts, Philip J. Guo, Parmit K. Chilana
Mismatch of Expectations: How Modern Learning Resources Fail Conversational Programmers. CHI (2018)
Kandarp Khandwala, Philip J. Guo
Codemotion: expanding the design space of learner interactions with computer programming tutorial videos. L@S (2018)
Philip J. Guo
Non-Native English Speakers Learning Computer Programming: Barriers, Desires, and Design Opportunities. CHI (2018)
Kyle Thayer, Philip J. Guo, Katharina Reinecke
The Impact of Culture on Learner Behavior in Visual Debuggers. VL/HCC (2018)
Alok Mysore, Philip J. Guo
Porta: Profiling Software Tutorials Using Operating-System-Wide Activity Tracing. UIST (2018)
Xiong Zhang, Philip J. Guo
Fusion: Opportunistic Web Prototyping with UI Mashups. UIST (2018)
Sean Kross, Philip J. Guo
Students, systems, and interactions: synthesizing the first four years of learning@scale and charting the future. L@S (2018)
Alok Mysore, Philip J. Guo
Torta: Generating Mixed-Media GUI and Command-Line App Tutorials Using Operating-System-Wide Activity Tracing. UIST (2017)
Philip J. Guo
How adults ages 60+ are learning to code. Commun. ACM 60 (8) (2017)
Xiong Zhang, Philip J. Guo
DS.js: Turn Any Webpage into an Example-Centric Live Programming Environment for Learning Data Science. UIST (2017)
Philip J. Guo
Building tools to help students learn to program. Commun. ACM 60 (12) (2017)
Hyeonsu B. Kang, Philip J. Guo
Omnicode: A Novice-Oriented Live Programming Environment with Always-On Run-Time Value Visualizations. UIST (2017)
Ian Drosos, Philip J. Guo, Chris Parnin
HappyFace: Identifying and predicting frustrating obstacles for learning programming at scale. VL/HCC (2017)
Philip J. Guo
Older Adults Learning Computer Programming: Motivations, Frustrations, and Design Opportunities. CHI (2017)
Jeremy Warner, Philip J. Guo
CodePilot: Scaffolding End-to-End Collaborative Software Development for Novice Programmers. CHI (2017)
Jeremy Warner, Philip J. Guo
Hack.edu: Examining How College Hackathons Are Perceived By Student Attendees and Non-Attendees. ICER (2017)
Denae Ford, Justin Smith, Philip J. Guo, Chris Parnin
Paradise unplugged: identifying barriers for female participation on stack overflow. SIGSOFT FSE (2016)
Parmit K. Chilana, Rishabh Singh, Philip J. Guo
Understanding Conversational Programmers: A Perspective from the Software Industry. CHI (2016)
Jeremy Warner, John Doorenbos, Bradley Miller, Philip J. Guo
How High School, College, and Online Students Differentially Engage with an Interactive Digital Textbook. EDM (2015)
Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip J. Guo, Jiebo Luo
Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence. ICSC (2015)
Carrie J. Cai, Philip J. Guo, James R. Glass, Robert C. Miller
Wait-Learning: Leveraging Wait Time for Second Language Education. CHI (2015)
Philip J. Guo
Codeopticon: Real-Time, One-To-Many Human Tutoring for Computer Programming. UIST (2015)
Mitchell L. Gordon, Philip J. Guo
Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. VL/HCC (2015)
Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller
OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale. ACM Trans. Comput. Hum. Interact. 22 (2) (2015)
Philip J. Guo, Jeffery White, Renan Zanelatto
Codechella: Multi-user program visualizations for real-time tutoring and collaborative learning. VL/HCC (2015)
Parmit K. Chilana, Celena Alcock, Shruti Dembla, Anson Ho, Ada Hurst, Brett Armstrong, Philip J. Guo
Perceptions of non-CS majors in intro programming: The rise of the conversational programmer. VL/HCC (2015)
Joyce Zhu, Jeremy Warner, Mitchell L. Gordon, Jeffery White, Renan Zanelatto, Philip J. Guo
Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. VL/HCC (2015)
Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller
OverCode: visualizing variation in student solutions to programming problems at scale. UIST (Adjunct Volume) (2014)
Jeremy Scott, Philip J. Guo, Randall Davis
A direct manipulation language for explaining algorithms. VL/HCC (2014)
Mark Guzdial, Philip J. Guo
The difficulty of teaching programming languages, and the benefits of hands-on learning. Commun. ACM 57 (7) (2014)
Juho Kim, Phu Tran Nguyen, Sarah A. Weir, Philip J. Guo, Robert C. Miller, Krzysztof Z. Gajos
Crowdsourcing step-by-step information extraction to enhance existing how-to videos. CHI (2014)
Juho Kim, Philip J. Guo, Carrie J. Cai, Shang-Wen (Daniel) Li, Krzysztof Z. Gajos, Robert C. Miller
Data-driven interaction techniques for improving navigation of educational videos. UIST (2014)
Juho Kim, Philip J. Guo, Daniel T. Seaton, Piotr Mitros, Krzysztof Z. Gajos, Robert C. Miller
Understanding in-video dropouts and interaction peaks inonline lecture videos. L@S (2014)
Anvisha H. Pai, Philip J. Guo, Robert C. Miller
Modeling programming knowledge for mentoring at scale. L@S (2014)
Philip J. Guo, Katharina Reinecke
Demographic differences in how students navigate through MOOCs. L@S (2014)
Philip J. Guo, Juho Kim, Rob Rubin
How video production affects student engagement: an empirical study of MOOC videos. L@S (2014)
Philip J. Guo
Clarifying human-computer interaction. Commun. ACM 57 (2) (2014)
Philip J. Guo
Refining students' coding and reviewing skills. Commun. ACM 57 (9) (2014)
Carrie J. Cai, Philip J. Guo, James R. Glass, Robert C. Miller
Wait-learning: leveraging conversational dead time for second language education. CHI Extended Abstracts (2014)
Philip J. Guo
Helping scientists, engineers to work up to 100 times faster. Commun. ACM 56 (10) (2013)
Philip J. Guo
Online python tutor: embeddable web-based program visualization for cs education. SIGCSE (2013)
Philip J. Guo
Teaching programming the way it works outside the classroom. Commun. ACM 56 (8) (2013)
Adam Kiezun, Vijay Ganesh, Shay Artzi, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
HAMPI: A solver for word equations over strings, regular expressions, and context-free grammars. ACM Trans. Softw. Eng. Methodol. 21 (4) (2012)
Philip J. Guo
CDE: A Tool for Creating Portable Experimental Software Packages. Comput. Sci. Eng. 14 (4) (2012)
Thomas Zimmermann, Nachiappan Nagappan, Philip J. Guo, Brendan Murphy
Characterizing and predicting which bugs get reopened. ICSE (2012)
Philip J. Guo, Margo I. Seltzer
BURRITO: Wrapping Your Lab Notebook in Computational Infrastructure. TaPP (2012)
Vijay Ganesh, Adam Kiezun, Shay Artzi, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
HAMPI: A String Solver for Testing, Analysis and Vulnerability Detection. CAV (2011)
Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
"Not my bug!" and other reasons for software bug report reassignments. CSCW (2011)
Philip J. Guo
Sloppy Python: using dynamic analysis to automatically add error tolerance to ad-hoc data processing scripts. WODA (2011)
Philip J. Guo, Sean Kandel, Joseph M. Hellerstein, Jeffrey Heer
Proactive wrangling: mixed-initiative end-user programming of data transformation scripts. UIST (2011)
Philip J. Guo, Dawson R. Engler
Using automatic persistent memoization to facilitate data analysis scripting. ISSTA (2011)
Philip J. Guo, Dawson R. Engler
CDE: Using System Call Interposition to Automatically Create Portable Software Packages. USENIX Annual Technical Conference (2011)
Philip J. Guo
CDE: Run Any Linux Application On-Demand Without Installation. LISA (2011)
Philip J. Guo, Dawson R. Engler
Towards Practical Incremental Recomputation for Scientists: An Implementation for the Python Language. TaPP (2010)
Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows. ICSE (1) (2010)
Philip J. Guo, Dawson R. Engler
Linux Kernel Developer Responses to Static Analysis Bug Reports. USENIX Annual Technical Conference (2009)
Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira Dontcheva, Scott R. Klemmer
Opportunistic Programming: Writing Code to Prototype, Ideate, and Discover. IEEE Softw. 26 (5) (2009)
Adam Kiezun, Vijay Ganesh, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
HAMPI: a solver for string constraints. ISSTA (2009)
Adam Kiezun, Philip J. Guo, Karthick Jayaraman, Michael D. Ernst
Automatic creation of SQL Injection and cross-site scripting attacks. ICSE (2009)
Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira Dontcheva, Scott R. Klemmer
Two studies of opportunistic programming: interleaving web foraging, learning, and writing code. CHI (2009)
Joel Brandt, Philip J. Guo, Joel Lewenstein, Scott R. Klemmer
Opportunistic programming: how rapid ideation and prototyping occur in practice. WEUSE@ICSE (2008)
Michael D. Ernst, Jeff H. Perkins, Philip J. Guo, Stephen McCamant, Carlos Pacheco, Matthew S. Tschantz, Chen Xiao
The Daikon system for dynamic detection of likely invariants. Sci. Comput. Program. 69 (1-3) (2007)
Philip J. Guo, Jeff H. Perkins, Stephen McCamant, Michael D. Ernst
Dynamic inference of abstract types. ISSTA (2006)
Brian Demsky, Michael D. Ernst, Philip J. Guo, Stephen McCamant, Jeff H. Perkins, Martin C. Rinard
Inference and enforcement of data structure consistency specifications. ISSTA (2006)