Christopher Bogart

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 36

Top Topics

Group Formation

Programming Education

Community College

Top Venues

Publications

Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. AIED (1) (2024)
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd F. Sakr, Carolyn P. Rosé
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. CoRR (2024)
Yifan Song, Yuanxin Wang, Marshall An, Christopher Bogart, Majd Sakr
Programming Plagiarism Detection with Learner Data. SIGCSE (2) (2024)
Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromír Savelka, Majd Sakr
Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. SIGCSE (2) (2024)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE (2024)
Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromír Savelka, Majd Sakr
What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? SIGCSE (1) (2024)
Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr
Designing Modular Auto-graded Programming Projects. ITiCSE (2) (2024)
Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr
Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. ITiCSE (2) (2024)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) (2023)
Puja Agarwal, Divya Prem, Christopher Bogart, Abrar Fallatah, Aileen Abril Castro-Guzman, Pannapat Chanpaisaeng, Stella Doehring, Margaret Burnett, Anita Sarma
SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR (2023)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR (2023)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? ITiCSE (1) (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. CoRR (2023)
Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, Majd Sakr
Cheating Detection in Online Assessments via Timeline Analysis. SIGCSE (1) (2022)
Margaret Burnett, Martin Erwig, Abrar Fallatah, Christopher Bogart, Anita Sarma
Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction. CoRR (2022)
Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé
Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale. L@S (2021)
Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. CoRR (2021)
Daniel Klug, Christopher Bogart, James D. Herbsleb
"They Can Only Ever Guide": How an Open Source Software Community Uses Roadmaps to Coordinate Effort. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Sadika Amreen, Audris Mockus, Russell Zaretzki, Christopher Bogart, Yuxia Zhang
ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems. Empir. Softw. Eng. 25 (2) (2020)
Christopher Bogart, James Howison, James D. Herbsleb
Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data. CoRR (2020)
Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn Penstein Rosé
Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects. ICLS (2020)
Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn Penstein Rosé
Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming. AIED (2) (2020)
Samridhi Choudhary, Christopher Bogart, Carolyn Penstein Rosé, Jim Herbsleb
Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness. SANER (2020)
Dimitra Tsovaltzi, Armin Weinberger, Lara Johanna Schmitt, Henrik Bellhäuser, Adrienne Müller, Johannes Konert, René Röpke, Hannie Gijlers, Elise H. Eshuis, Tessa H. S. Eysink, Melanie Erkens, Sven Manske, Heinz Ulrich Hoppe, Daniel Bodemer, Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Michael Hilton, Carolyn Penstein Rosé
Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. CSCL (2019)
Zack Coker, David Gray Widder, Claire Le Goues, Christopher Bogart, Joshua Sunshine
A Qualitative Study on Framework Debugging. ICSME (2019)
Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Carolyn Penstein Rosé
When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course. AIED (1) (2018)
Zack Coker, David Gray Widder, Claire Le Goues, Christopher Bogart, Joshua Sunshine
Debugging Framework Applications: Benefits and Challenges. CoRR (2018)
Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Penstein Rosé, Alan W. Black
Linguistic Markers of Influence in Informal Interactions. NLP+CSS@ACL (2017)
Aakanksha Naik, Christopher Bogart, Carolyn Penstein Rosé
Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision. BioNLP (2017)
Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Penstein Rosé, Alan W. Black
Linguistic Markers of Influence in Informal Interactions. CoRR (2017)
Christopher Bogart, Christian Kästner, James D. Herbsleb, Ferdian Thung
How to break an API: cost negotiation and community values in three software ecosystems. SIGSOFT FSE (2016)
James D. Herbsleb, Christian Kästner, Christopher Bogart
Intelligently Transparent Software Ecosystems. IEEE Softw. 33 (1) (2016)
Keeley Abbott, Christopher Bogart, Eric Walkingshaw
Programs for people: What we can learn from lab protocols. VL/HCC (2015)
Christopher Bogart, Christian Kästner, James D. Herbsleb
When It Breaks, It Breaks: How Ecosystem Developers Reason about the Stability of Dependencies. ASE Workshops (2015)
Joseph Lawrance, Christopher Bogart, Margaret M. Burnett, Rachel K. E. Bellamy, Kyle Rector, Scott D. Fleming
How Programmers Debug, Revisited: An Information Foraging Theory Perspective. IEEE Trans. Software Eng. 39 (2) (2013)
David Piorkowski, Scott D. Fleming, Christopher Scaffidi, Christopher Bogart, Margaret M. Burnett, Bonnie E. John, Rachel K. E. Bellamy, Calvin Swart
Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers. CHI (2012)
Christopher Bogart, Margaret M. Burnett, Scott Douglass, Hannah Adams, Rachel White
Designing a debugging interaction language for cognitive modelers: an initial case study in natural programming plus. CHI (2012)
David Piorkowski, Scott D. Fleming, Christopher Scaffidi, Liza John, Christopher Bogart, Bonnie E. John, Margaret M. Burnett, Rachel K. E. Bellamy
Modeling programmer navigation: A head-to-head empirical evaluation of predictive models. VL/HCC (2011)
Christopher Scaffidi, Christopher Bogart, Margaret M. Burnett, Allen Cypher, Brad A. Myers, Mary Shaw
Using traits of web macro scripts to predict reuse. J. Vis. Lang. Comput. 21 (5) (2010)
Christopher Bogart
Debugging with Evaluation Abstractions. VL/HCC (2010)
Joseph Lawrance, Margaret M. Burnett, Rachel K. E. Bellamy, Christopher Bogart, Calvin Swart
Reactive information foraging for evolving goals. CHI (2010)
Christopher Bogart, Margaret M. Burnett, Scott Douglass, David Piorkowski, Amber Shinsel
Does My Model Work? Evaluation Abstractions of Cognitive Modelers. VL/HCC (2010)
Christopher Scaffidi, Christopher Bogart, Margaret M. Burnett, Allen Cypher, Brad A. Myers, Mary Shaw
Predicting reuse of end-user web macro scripts. VL/HCC (2009)
Valentina Grigoreanu, Jill Cao, Todd Kulesza, Christopher Bogart, Kyle Rector, Margaret M. Burnett, Susan Wiedenbeck
Can feature design reduce the gender gap in end-user software development environments? VL/HCC (2008)
Christopher Scaffidi, Christopher Bogart, Margaret M. Burnett, Allen Cypher, Brad A. Myers, Mary Shaw
Characterizing reusability of end-user web macro scripts. RSSE@SIGSOFT FSE (2008)
Christopher Bogart, Margaret M. Burnett, Allen Cypher, Christopher Scaffidi
End-user programming in the wild: A field study of CoScripter scripts. VL/HCC (2008)
Christopher Bogart
Rhetorical end-user programming. VL/HCC (2008)
Neeraja Subrahmaniyan, Margaret M. Burnett, Christopher Bogart
Software visualization for end-user programmers: trial period obstacles. SOFTVIS (2008)
L. Darrell Whitley, Timothy Starkweather, Christopher Bogart
Genetic algorithms and neural networks: optimizing connections and connectivity. Parallel Comput. 14 (3) (1990)