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How Do Programming Students Use Generative AI?

https://doi.org/10.1145/3715762
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10664-024-10561-6openalex-snapshot
“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot
inferredcites →https://doi.org/10.1016/j.jss.2023.111734openalex-snapshot
GitHub Copilot AI pair programmer: Asset or Liability?
inferredcites →https://doi.org/10.1016/j.lindif.2023.102274openalex-snapshot
ChatGPT for good? On opportunities and challenges of large language models for education
inferredcites →https://doi.org/10.1016/s1071-5819(03)00038-7openalex-snapshot
The role of trust in automation reliance
inferredcites →https://doi.org/10.1080/10447318.2023.2269006openalex-snapshot
ChatGPT in the Classroom. Exploring Its Potential and Limitations in a Functional Programming Course
inferredcites →https://doi.org/10.1080/14703297.2023.2190148openalex-snapshot
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
inferredcites →https://doi.org/10.1109/cseet58097.2023.00031openalex-snapshot
Recommendations to Create Programming Exercises to Overcome ChatGPT
inferredcites →https://doi.org/10.1109/fie58773.2023.10343467openalex-snapshot
Generative AI in Computing Education: Perspectives of Students and Instructors
inferredcites →https://doi.org/10.1109/icsme.2018.00027openalex-snapshot
A Simple NLP-Based Approach to Support Onboarding and Retention in Open Source Communities
inferredcites →https://doi.org/10.1109/icsme58944.2024.00058openalex-snapshot
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
inferredcites →https://doi.org/10.1109/re51729.2021.00018openalex-snapshot
The Role of Linguistic Relativity on the Identification of Sustainability Requirements: An Empirical Study
inferredcites →https://doi.org/10.1109/tcyb.2017.2750691openalex-snapshot
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints
inferredcites →https://doi.org/10.1109/tse.2013.12openalex-snapshot
Patterns of Knowledge in API Reference Documentation
inferredcites →https://doi.org/10.1145/2622669openalex-snapshot
On the Comprehension of Program Comprehension
inferredcites →https://doi.org/10.1145/2810041openalex-snapshot
Coderunner
inferredcites →https://doi.org/10.1145/3491101.3519665openalex-snapshot
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
inferredcites →https://doi.org/10.1145/3501709.3544280openalex-snapshot
Generating Diverse Code Explanations using the GPT-3 Large Language Model
inferredcites →https://doi.org/10.1145/3511861.3511863openalex-snapshot
The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
inferredcites →https://doi.org/10.1145/3544548.3580919openalex-snapshot
Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming
inferredcites →https://doi.org/10.1145/3545945.3569759openalex-snapshot
Programming Is Hard - Or at Least It Used to Be
inferredcites →https://doi.org/10.1145/3545945.3569785openalex-snapshot
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
inferredcites →https://doi.org/10.1145/3545945.3569823openalex-snapshot
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
inferredcites →https://doi.org/10.1145/3568813.3600138openalex-snapshot
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
inferredcites →https://doi.org/10.1145/3568813.3600139openalex-snapshot
Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests
inferredcites →https://doi.org/10.1145/3568813.3600142openalex-snapshot
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
inferredcites →https://doi.org/10.1145/3576123.3576134openalex-snapshot
My AI Wants to Know if This Will Be on the Exam: Testing OpenAI’s Codex on CS2 Programming Exercises
inferredcites →https://doi.org/10.1145/3587102.3588785openalex-snapshot
Comparing Code Explanations Created by Students and Large Language Models
inferredcites →https://doi.org/10.1145/3613904.3642596openalex-snapshot
Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions
inferredcites →https://doi.org/10.1145/3617367openalex-snapshot
“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers
inferredcites →https://doi.org/10.1145/3623762.3633499openalex-snapshot
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
inferredcites →https://doi.org/10.1145/3632620.3671116openalex-snapshot
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
inferredcites →https://doi.org/10.1145/3633453openalex-snapshot
Measuring GitHub Copilot's Impact on Productivity
inferredcites →https://doi.org/10.1145/3639474.3640076openalex-snapshot
Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1
inferredcites →https://doi.org/10.1145/3649217.3653584openalex-snapshot
CS1-LLM: Integrating LLMs into CS1 Instruction
inferredcites →https://doi.org/10.1145/3706598.3713778openalex-snapshot
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
inferredcites →https://doi.org/10.1162/99608f92.5317da47openalex-snapshot
How Is ChatGPT’s Behavior Changing Over Time?
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.878openalex-snapshot
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
inferredcites →https://doi.org/10.3390/app14104115openalex-snapshot
The Impact of Large Language Models on Programming Education and Student Learning Outcomes
inferredcites →https://doi.org/10.4135/9781071802878openalex-snapshot
The Content Analysis Guidebook
inferredcites →https://doi.org/10.4230/lipics.esem.2026.34openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
inferredcites →https://doi.org/10.48550/arxiv.2106.09231openalex-snapshot
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
inferredcites →https://doi.org/10.48550/arxiv.2401.04621openalex-snapshot
DebugBench: Evaluating Debugging Capability of Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2406.13631openalex-snapshot
On AI-Inspired UI-Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Generative AI and IT Professionals: Work Tasks and Ethical Reflections
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AI Is Available, Partnership Is Optional: Student Agency in Human–AI Interaction
inferred← citeshttps://doi.org/10.1007/978-981-92-0042-9_4openalex-snapshot
PockeTA: Virtual Teaching Assistant Platform with Course Context
inferred← citeshttps://doi.org/10.1007/s10664-026-10898-0openalex-snapshot
How students use generative AI for software testing: An observational study
inferred← citeshttps://doi.org/10.1016/b978-0-443-36775-5.00001-1openalex-snapshot
Applications, challenges and opportunities of AI integration in STEM education
inferred← citeshttps://doi.org/10.1016/j.caeai.2026.100633openalex-snapshot
ASTRA: A synthetic benchmark for trace-based evaluation of socially intelligent multi-agent tutoring and participation-balanced collaboration in introductory programming
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113073openalex-snapshot
How can large language models help novice programmers? An exploratory study in educational setting
inferred← citeshttps://doi.org/10.1016/j.patter.2025.101473openalex-snapshot
Recalibrating academic expertise in the age of generative AI
inferred← citeshttps://doi.org/10.1080/15391523.2026.2724351openalex-snapshot
Generative AI and the balance of effort in group tasks: Appropriate, over-, and under-scaffolding
inferred← citeshttps://doi.org/10.1109/aiware69974.2025.00016openalex-snapshot
Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
inferred← citeshttps://doi.org/10.1109/fie63693.2025.11328241openalex-snapshot
WIP: Context-Aware AI in Learning Management Systems for Computer Science Courses
inferred← citeshttps://doi.org/10.1109/fllm67465.2025.11391082openalex-snapshot
Do People Learn Better with Large Language Models? Examining the Double Edged Sword and a Roadmap for Future Research
inferred← citeshttps://doi.org/10.1109/gcce65946.2025.11275388openalex-snapshot
Preliminary Study on a Multi-Source RAG Chatbot Using Lecture Materials and QA Logs
inferred← citeshttps://doi.org/10.1109/icdel70250.2026.11663855openalex-snapshot
Understanding Generative AI-Supported Problem Solving and Learning in Programming Education
inferred← citeshttps://doi.org/10.1109/icst69053.2026.00024openalex-snapshot
Testing Literacy for the Era of Self-Software Systems: Rethinking Software Testing Education for AI-Mediated Development
inferred← citeshttps://doi.org/10.1109/rew72749.2026.00017openalex-snapshot
How Well Can AI Generate Backlogs from App Mockups?
inferred← citeshttps://doi.org/10.1109/tqcebt67648.2026.11681022openalex-snapshot
CodePalz: GenAI Powered Adaptive AI Learning
inferred← citeshttps://doi.org/10.1109/tse.2026.3702933openalex-snapshot
An Empirical Investigation on Source Code Comprehension Performance Between Naming and Structural Issues With and Without Generative AI Assistance
inferred← citeshttps://doi.org/10.1145/3696630.3731663openalex-snapshot
``I Would Have Written My Code Differently': Beginners Struggle to Understand LLM-Generated Code
inferred← citeshttps://doi.org/10.1145/3702653.3744328openalex-snapshot
Benchmarking of Generative AI Tools in Software Engineering Education: Formative Insights for Curriculum Integration
inferred← citeshttps://doi.org/10.1145/3770762.3772551openalex-snapshot
Benchmarking AI Tools for Software Engineering Education: Insights into Design, Implementation, and Testing
inferred← citeshttps://doi.org/10.1145/3770762.3772659openalex-snapshot
Process-Oriented Homework with an Instructor-Designed AI-Bot: An Early Experience in a Data Structures and Algorithms Course
inferred← citeshttps://doi.org/10.1145/3772363.3798571openalex-snapshot
Motivations for Using AI Tools in an Introductory Programming
inferred← citeshttps://doi.org/10.1145/3786580.3786990openalex-snapshot
Prompting Without Principles: Are Students Transferring Software Engineering Knowledge to LLM Use?
inferred← citeshttps://doi.org/10.1145/3794860.3794894openalex-snapshot
Fast and Fleeting: Evaluating ChatGPT’s Impact on Students’ Computational Thinking Skills
inferred← citeshttps://doi.org/10.1145/3803437.3806707openalex-snapshot
Keeping Humans in the Driver’s Seat: A Conceptual Framework for GenAI and Competence Debt
inferred← citeshttps://doi.org/10.1145/3833142.3833154openalex-snapshot
CoT-Structured GenAI Feedback for Novice Programmers: Effects on Feedback Quality, Debugging Performance, and Cognitive Load
inferred← citeshttps://doi.org/10.1145/3849390openalex-snapshot
Teaching Scalability Reasoning through a Complexity-First Approach to Algorithms and Data Structures
inferred← citeshttps://doi.org/10.1177/00472395261484623openalex-snapshot
Students’ Self-Regulatory Behaviours and Help-Seeking Practices When Using ChatGPT in a Web Programming Task: An Exploratory Case Study
inferred← citeshttps://doi.org/10.15439/2026f9512openalex-snapshot
LLMs across the Software Development Life Cycle in Project-Based Software Engineering Courses: an Empirical Study
inferred← citeshttps://doi.org/10.2139/ssrn.5224452openalex-snapshot
Recalibrating Academic Expertise in the Age of Generative AI
inferred← citeshttps://doi.org/10.32431/kace.2026.29.8.001openalex-snapshot
Student Perceptions of Generative AI Use and Project Participation in an Advanced Programming Course: A Case Study
inferred← citeshttps://doi.org/10.3390/ai7010006openalex-snapshot
From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
inferred← citeshttps://doi.org/10.3390/ai7070252openalex-snapshot
How Large Language Models Shape Programming Skill Development Beyond Task Completion
inferred← citeshttps://doi.org/10.3390/bs16081405openalex-snapshot
Beyond Ease of Use: Dynamics of Technology Adoption and Cognitive Load in AI-Assisted Programming for Non-Technical Students
inferred← citeshttps://doi.org/10.3390/educsci16010019openalex-snapshot
ChatGPT in Programming Education: An Empirical Study on Its Impact on Student Performance, Creativity, and Teamwork
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Human-in-the-Loop AI Item Generation and On-Demand AI Debugging in Programming Education: An Exploratory Nonequivalent-Groups Study
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A Digital Ecosystem Model for Developing Logical Thinking in Novice Programmers: Integrating Visualization Technologies and GenAI
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