GitHub Copilot

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 30 of 55 studies

Faster But Not Wiser: Github Copilot Decouples Programming Performance From Code Comprehension In Brownfield Tasks

Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (09/2026). arXiv. https://arxiv.org/abs/2511.02922v3
Practical Implementation Report On Introducing Spec-Driven Development Using AI Agents In Software Development Pbl

Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari, Kiyoshi Honda, Naoki Fukuyasu. (08/2026). arXiv. https://arxiv.org/abs/2608.30572v1
Who Will Become The Next Senior? How Generative AI Erodes The Development Pathway In Software Engineering

Sumin Yu, Taesup Moon. (08/2026). arXiv. https://arxiv.org/abs/2607.17067v3
Mapping The Emerging Curriculum For AI-Assisted Software Engineering Via Syllabus Analysis

Francis Geng, Anshul Shah, Mia Chen, Paul Denny, Juho Leinonen, Bill Griswold, Gerald Soosai Raj, Leo Porter. (08/2026). arXiv. https://arxiv.org/abs/2608.05898v1
To Police Or To Guide: How Higher Education Computer Science Instructors Design And Implement Generative AI Policies

Xingjian (Lance) Gu, Wells Lucas Santo, James M. Zumel Dumlao, Barbara Jane Ericson. (07/2026). arXiv. https://arxiv.org/abs/2607.16475v2
Commenting With Copilot: A Taxonomy And Multi-Year Analysis Of Student Code-Generation Specifications

Nasser Giacaman, Valerio Terragni, Paul Denny, Viraj Kumar. (07/2026). arXiv. https://arxiv.org/abs/2607.10674v1
Code Comprehension With Github Copilot: Performance Gains, Comprehension Trade-Offs, And Behavioral Predictors In Brownfield Programming

Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (05/2026). arXiv. https://arxiv.org/abs/2511.02922v2
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming

Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
How Do Software Engineering Students Use Generative AI In Real-World Capstone Projects? An Empirical Baseline Study

Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider. (04/2026). arXiv. https://arxiv.org/abs/2604.24521v1
Code For All: Educational Applications Of The Vibe Coding Hackathon In Programming Education Across All Skill Levels

Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique. (04/2026). arXiv. https://arxiv.org/abs/2604.22747v1
Relationships Between Trust, Compliance, And Performance For Novice Programmers Using AI Code Generation

Nicholas Gardella, Matthew L. Bolton, Sara L. Riggs. (04/2026). arXiv. https://arxiv.org/abs/2604.18948v1
Fast And Forgettable: A Controlled Study Of Novices' Performance, Learning, Workload, And Emotion In AI-Assisted And Human Pair Programming Paradigms

Nicholas Gardella, James Prather, Juho Leinonen, Paul Denny, Raymond Pettit, Sara L. Riggs. (04/2026). arXiv. https://arxiv.org/abs/2604.18538v1
Generative AI In Higher Education: Evidence From An Elite College

Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Comprehension Debt In Genai-Assisted Software Engineering Projects

Muhammad Ovais Ahmad. (04/2026). arXiv. https://arxiv.org/abs/2604.13277v1
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges

Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
Teaching Astronomy With Large Language Models

Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Towards An AI Buddy For Every University Student? Exploring Students' Experiences, Attitudes And Motivations Towards AI And AI-Based Study Companions

Judit Martínez Moreno, Markus Christen, Abraham Bernstein. (03/2026). arXiv. https://arxiv.org/abs/2603.20909v1
How Undergraduate Physics Students Use Generative AI For Computational Modeling

Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl. (03/2026). arXiv. https://arxiv.org/abs/2603.06342v2
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems

Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education

Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Classaid: A Real-Time Instructor-AI-Student Orchestration System For Classroom Programming Activities

Gefei Zhang, Guodao Sun, Meng Xia, Ronghua Liang. (02/2026). arXiv. https://arxiv.org/pdf/2602.06734v1
Ensuring Computer Science Learning In The Ai Era: Open Generative Ai Policies And Assignment-Driven Written Quizzes

Chan-Jin Chung. (01/2026). arXiv. https://arxiv.org/pdf/2601.17024v1
Ai-Exposed Jobs Deteriorated Before Chatgpt

M. R. Frank, Alireza Javadian Sabet, Lisa Simon, Sarah Bana, Renzhe Yu. (01/2026). arXiv. https://arxiv.org/pdf/2601.02554v1
The Vibe-Check Protocol: Quantifying Cognitive Offloading In Ai Programming

Aizierjiang Aiersilan. (01/2026). arXiv. https://arxiv.org/pdf/2601.02410v1
Teaching With Ai: A Systematic Review Of Chatbots, Generative Tools, And Tutoring Systems In Programming Education

Said Elnaffar, Farzad Rashidi, Abedallah Zaid Abualkishik. (12/2025). arXiv. https://arxiv.org/pdf/2510.03884v2
On The Role And Impact Of Genai Tools In Software Engineering Education

Qiaolin Qin, Ronnie de Souza Santos, Rodrigo Spinola. (12/2025). arXiv. https://arxiv.org/abs/2512.04256v1
"Can You Feel The Vibes?": An Exploration Of Novice Programmer Engagement With Vibe Coding

Kiev Gama, Alexander Nolte, Filipe Calegario, Luiz Augusto Morais, Victoria Jackson, Vinicius Garcia. (12/2025). arXiv. https://arxiv.org/abs/2512.02750v1
Liberating Logic In The Age Of Ai: Going Beyond Programming With Computational Thinking

Douglas C. Schmidt, Dan Runfola. (11/2025). arXiv. https://arxiv.org/abs/2511.17696v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education

Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
Bridging The Skills Gap: A Course Model For Modern Generative Ai Education

Anya Bardach, Hamilton Murrah. (11/2025). arXiv. https://arxiv.org/abs/2511.11757v1