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ORCIDChristopher Bogart
Chris Bogart – Christopher A. Bogart
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2020 – today
- 2024
[c41]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: 114-123- [c40]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: 46-59 - [c39]Marshall An, Leah Teffera, Mahboobeh Mehrvarz, Bruce Li, Christopher Bogart, Majd Sakr, Bruce M. McLaren:
Leveraging Intelligent Tutoring Systems to Enhance Project-Based Learning in Workforce Training at Community Colleges. EC-TEL (2) 2024: 57-62 - [c38]Huy Anh Nguyen, Christopher Bogart, Jaromír Savelka, Adam Zhang, Majd Sakr:
Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class. EC-TEL (1) 2024: 315-329 - [c37]Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr:
Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. ITiCSE (2) 2024 - [c36]Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr:
Designing Modular Auto-graded Programming Projects. ITiCSE (2) 2024 - [c35]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: 116-122 - [c34]Yifan Song, Yuanxin Wang, Marshall An, Christopher Bogart, Majd Sakr:
Programming Plagiarism Detection with Learner Data. SIGCSE (2) 2024: 1826-1827 - [c33]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: 1842-1843 - [i16]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 abs/2404.18262 (2024) - 2023
- [c32]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: 139-150 - [c31]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) 2023: 47-58 - [c30]Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr:
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. ICER (1) 2023: 78-92 - [c29]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: 117-123 - [i15]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR abs/2303.08033 (2023) - [i14]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr:
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR abs/2303.09325 (2023) - [i13]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 abs/2304.04873 (2023) - [i12]Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr:
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. CoRR abs/2306.10073 (2023) - [i11]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 abs/2306.17459 (2023) - [i10]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 abs/2311.09518 (2023) - [i9]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 abs/2312.03173 (2023) - 2022
- [j9]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher A. Bogart, R. Charles Murray, Michael Hilton, Majd F. Sakr, Carolyn P. Rosé:
Collaborative Programming for Work-Relevant Learning: Comparing Programming Practice With Example-Based Reflection for Student Learning and Transfer Task Performance. IEEE Trans. Learn. Technol. 15(5): 594-604 (2022) - [c28]Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, Majd Sakr:
Cheating Detection in Online Assessments via Timeline Analysis. SIGCSE (1) 2022: 98-104 - [i8]Margaret Burnett, Martin Erwig, Abrar Fallatah, Christopher Bogart, Anita Sarma:
Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction. CoRR abs/2201.10643 (2022) - 2021
- [j8]Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, Audris Mockus:
World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data. Empir. Softw. Eng. 26(2): 22 (2021) - [j7]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): 158:1-158:28 (2021) - [j6]Chris Bogart, Christian Kästner, James D. Herbsleb, Ferdian Thung:
When and How to Make Breaking Changes: Policies and Practices in 18 Open Source Software Ecosystems. ACM Trans. Softw. Eng. Methodol. 30(4): 42:1-42:56 (2021) - [c27]Mingxiao An, Hongyi Zhang, Jaromír Savelka, Shijie Zhu, Chris Bogart, Majd Sakr:
Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? ITiCSE (1) 2021: 324-330 - [c26]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: 255-258 - [c25]David Reid, Kalvin Eng, Chris Bogart, Adam Tutko:
Tracing Vulnerable Code Lineage. MSR 2021: 621-623 - [i7]David Reid, Kalvin Eng, Chris Bogart, Adam Tutko:
Tracing Vulnerable Code Lineage. CoRR abs/2103.12304 (2021) - [i6]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 abs/2107.00218 (2021) - 2020
- [j5]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): 1136-1167 (2020) - [c24]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming. AIED (2) 2020: 273-278 - [c23]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects. ICLS 2020 - [c22]Samridhi Choudhary, Christopher Bogart, Carolyn P. Rosé, Jim Herbsleb:
Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness. SANER 2020: 400-410 - [i5]Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, Audris Mockus:
World of Code: Enabling a Research Workflow for Mining and Analyzing the Universe of Open Source VCS data. CoRR abs/2010.16196 (2020) - [i4]Christopher Bogart, James Howison, James D. Herbsleb:
Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data. CoRR abs/2012.05987 (2020)
2010 – 2019
- 2019
- [c21]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 P. Rosé:
Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. CSCL 2019 - [c20]Zack Coker, David Gray Widder, Claire Le Goues, Christopher Bogart, Joshua Sunshine:
A Qualitative Study on Framework Debugging. ICSME 2019: 568-579 - [c19]Yuxing Ma, Chris Bogart, Sadika Amreen, Russell Zaretzki, Audris Mockus:
World of code: an infrastructure for mining the universe of open source VCS data. MSR 2019: 143-154 - [i3]Sadika Amreen, Audris Mockus, Chris Bogart, Yuxia Zhang, Russell Zaretzki:
ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data. CoRR abs/1901.03363 (2019) - 2018
- [c18]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: 518-531 - [e1]Justin Smith, Christopher Bogart, Judith Good, Scott D. Fleming:
2019 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2019, Memphis, Tennessee, USA, October 14-18, 2019. IEEE Computer Society 2018, ISBN 978-1-7281-0810-0 [contents] - [i2]Zack Coker, David Gray Widder, Claire Le Goues, Christopher Bogart, Joshua Sunshine:
Debugging Framework Applications: Benefits and Challenges. CoRR abs/1801.05366 (2018) - 2017
- [c17]Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn P. Rosé, Alan W. Black:
Linguistic Markers of Influence in Informal Interactions. NLP+CSS@ACL 2017: 53-62 - [c16]Aakanksha Naik, Christopher Bogart, Carolyn P. Rosé:
Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision. BioNLP 2017: 356-364 - [i1]Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Penstein Rosé, Alan W. Black:
Linguistic Markers of Influence in Informal Interactions. CoRR abs/1707.04546 (2017) - 2016
- [j4]James D. Herbsleb, Christian Kästner, Christopher Bogart:
Intelligently Transparent Software Ecosystems. IEEE Softw. 33(1): 89-96 (2016) - [c15]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: 109-120 - 2015
- [c14]Christopher Bogart, Christian Kästner, James D. Herbsleb:
When It Breaks, It Breaks: How Ecosystem Developers Reason about the Stability of Dependencies. ASE Workshops 2015: 86-89 - [c13]Keeley Abbott, Christopher Bogart, Eric Walkingshaw:
Programs for people: What we can learn from lab protocols. VL/HCC 2015: 203-211 - 2013
- [j3]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): 197-215 (2013) - 2012
- [c12]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: 1471-1480 - [c11]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: 2469-2478 - 2011
- [c10]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: 109-116 - 2010
- [j2]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): 277-291 (2010) - [c9]Joseph Lawrance, Margaret M. Burnett, Rachel K. E. Bellamy, Christopher Bogart, Calvin Swart:
Reactive information foraging for evolving goals. CHI 2010: 25-34 - [c8]Christopher Bogart, Margaret M. Burnett, Scott Douglass, David Piorkowski, Amber Shinsel:
Does My Model Work? Evaluation Abstractions of Cognitive Modelers. VL/HCC 2010: 49-56 - [c7]Christopher Bogart:
Debugging with Evaluation Abstractions. VL/HCC 2010: 251-252
2000 – 2009
- 2009
- [c6]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: 93-100 - 2008
- [c5]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: 1 - [c4]Neeraja Subrahmaniyan, Margaret M. Burnett, Christopher Bogart:
Software visualization for end-user programmers: trial period obstacles. SOFTVIS 2008: 135-144 - [c3]Christopher Bogart, Margaret M. Burnett, Allen Cypher, Christopher Scaffidi:
End-user programming in the wild: A field study of CoScripter scripts. VL/HCC 2008: 39-46 - [c2]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: 149-156 - [c1]Christopher Bogart:
Rhetorical end-user programming. VL/HCC 2008: 260-261
1990 – 1999
- 1990
- [j1]L. Darrell Whitley, Timothy Starkweather, Christopher Bogart:
Genetic algorithms and neural networks: optimizing connections and connectivity. Parallel Comput. 14(3): 347-361 (1990)
Coauthor Index
Margaret M. Burnett
aka: Margaret Burnett
aka: Margaret Burnett
Carolyn P. Rosé
aka: Carolyn Penstein Rosé
aka: Carolyn Penstein Rosé
Majd F. Sakr
aka: Majd Sakr
aka: Majd Sakr
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last updated on 2024-10-07 22:06 CEST by the dblp team
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