https://arxiv.org/abs/2507.22900 Skip to main content Cornell University We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > cs > arXiv:2507.22900 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Human-Computer Interaction arXiv:2507.22900 (cs) [Submitted on 26 Jun 2025 (v1), last revised 16 Sep 2025 (this version, v4)] Title:New Kid in the Classroom: Exploring Student Perceptions of AI Coding Assistants Authors:Sergio Rojas-Galeano View a PDF of the paper titled New Kid in the Classroom: Exploring Student Perceptions of AI Coding Assistants, by Sergio Rojas-Galeano View PDF HTML (experimental) Abstract:The arrival of AI coding assistants in educational settings presents a paradigm shift, introducing a "new kid in the classroom" for both students and instructors. Thus, understanding the perceptions of these key actors about this new dynamic is critical. This exploratory study contributes to this area by investigating how these tools are shaping the experiences of novice programmers in an introductory programming course. Through a two-part exam, we investigated student perceptions by first providing access to AI support for a programming task and then requiring an extension of the solution without it. We collected Likert-scale and open-ended responses from 20 students to understand their perceptions on the challenges they faced. Our findings reveal that students perceived AI tools as helpful for grasping code concepts and boosting their confidence during the initial development phase. However, a noticeable difficulty emerged when students were asked to work unaided, pointing to potential overreliance and gaps in foundational knowledge transfer. These insights highlight a critical need for new pedagogical approaches that integrate AI effectively while effectively enhancing core programming skills, rather than impersonating them. A shorter version of the manuscript (16 pages) has been Comments: accepted for publication in the Proceedings of 19th Colombian Conference on Computing, CCC 2025 Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) Cite as: arXiv:2507.22900 [cs.HC] (or arXiv:2507.22900v4 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2507.22900 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Sergio Rojas-Galeano [view email] [v1] Thu, 26 Jun 2025 05:59:23 UTC (1,224 KB) [v2] Tue, 26 Aug 2025 03:23:41 UTC (1,223 KB) [v3] Wed, 10 Sep 2025 18:10:35 UTC (1,223 KB) [v4] Tue, 16 Sep 2025 15:09:44 UTC (1,222 KB) Full-text links: Access Paper: View a PDF of the paper titled New Kid in the Classroom: Exploring Student Perceptions of AI Coding Assistants, by Sergio Rojas-Galeano * View PDF * HTML (experimental) * TeX Source license icon view license Current browse context: cs.HC < prev | next > new | recent | 2025-07 Change to browse by: cs cs.AI References & Citations * NASA ADS * Google Scholar * Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] alphaXiv Toggle alphaXiv (What is alphaXiv?) [ ] Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] GotitPub Toggle Gotit.pub (What is GotitPub?) [ ] Huggingface Toggle Hugging Face (What is Huggingface?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) [ ] Spaces Toggle TXYZ.AI (What is TXYZ.AI?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status