Search Results - object-oriented programming Keywords Code Assistants*

Neural Methods for Programming: A Comprehensive Survey and Future Directions.

Authors: Maru, Gebremedhin Gebreslassie Lee, Sanghwa Ji, Suhwan et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12150, 59p

Subject Terms: COMPUTER software development, LANGUAGE models, CODE generators, COGNITIVE computing, NEURAL computers, COMPUTER programming

Bridging code and timely feedback: integrating generative AI into a programming platform.

Authors: Martínez-Araneda, Claudia Gutiérrez Valenzuela, Mariella Macías Aranda, José Luis et al.

Source: PeerJ Computer Science; Oct2025, p1-29, 29p

Subject Terms: GENERATIVE artificial intelligence, COMPUTER programming education, EDUCATIONAL technology, COGNITIVE ability, USER-centered system design, CHATBOTS

Exploring Conversational Programming through the CHOP Paradigm and Artificial Intelligence.

Authors: ZAMFIROIU, Alin PĂŞTINICĂ, Costinela-Beatrice CRĂCIUN, Cătălin et al.

Source: Informatica Economica; Jun2025, Vol. 29 Issue 2, p5-17, 13p

Subject Terms: ARTIFICIAL intelligence, CONVERSATION, NATURAL languages, SOFTWARE engineering, CODE generators, NATURAL language processing

Mass Generation of Programming Learning Problems from Public Code Repositories.

Authors: Sychev, Oleg Shashkov, Dmitry

Source: Big Data & Cognitive Computing; Mar2025, Vol. 9 Issue 3, p57, 28p

Subject Terms: LANGUAGE models, LEARNING problems, PROGRAMMING languages, ARTIFICIAL intelligence, C++, INTELLIGENT tutoring systems

XSnippet: mining for sample code

Authors: Naiyana Sahavechaphan The Pennsylvania State University CiteSeerX Archives

Contributors: Naiyana Sahavechaphan The Pennsylvania State University CiteSeerX Archives

Source: http://www.claypools.org/kajal-oopsla-06.pdf.

Subject Terms: Categories and Subject Descriptors D.2.3 [Software Engineering, Coding Tools and Techniques—program editors, object-oriented programming Keywords Code Assistants, Code Mining, Ranking Code Samples, Code Reuse

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.6311

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.6311
http://www.claypools.org/kajal-oopsla-06.pdf

Tracing distinct learning trajectories in introductory programming course: a sequence analysis of score, engagement, and code metrics for novice computer science vs. math cohorts.

Authors: Gao, Zhizezhang Yan, Haochen Liu, Jiaqi et al.

Source: International Journal of STEM Education; 5/12/2025, Vol. 12 Issue 1, p1-26, 26p

Subject Terms: COMPUTER science, MATHEMATICS students, COMPUTER programming education, COGNITIVE development, INSTRUCTIONAL systems design, STUDENT engagement, SOFTWARE measurement

Exploring conversational agents for novice programmers: a scoping review.

Authors: Barzanji, Chrakhan Loitsch, Claudia

Source: Discover Artificial Intelligence; 10/13/2025, Vol. 5 Issue 1, p1-27, 27p

Subject Terms: COMPUTER programming education, EDUCATIONAL technology, LANGUAGE models, INSTRUCTIONAL systems, COMPUTER programmers, TEACHING methods, CHATBOTS

RefactorGPT: a ChatGPT-based multi-agent framework for automated code refactoring.

Authors: Karabiyik, Muhammed Abdulhamid

Source: PeerJ Computer Science; Oct2025, p1-28, 28p

Subject Terms: SOFTWARE refactoring, CHATGPT, MULTIAGENT systems, COMPUTER software quality control

Democratizing Software Engineering through Generative AI and Vibe Coding: The Evolution of No-Code Development.

Authors: Gadde, Akhilesh

Source: Journal of Computer Science & Technology Studies; 2025, Vol. 7 Issue 4, p556-572, 17p

Subject Terms: GENERATIVE artificial intelligence, SOFTWARE engineering, ARTIFICIAL intelligence, COMPUTER software development, HUMAN-computer interaction

“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot.

Authors: Mailach, Alina Gorgosch, Dominik Siegmund, Norbert et al.

Source: Empirical Software Engineering; Feb2025, Vol. 30 Issue 1, p1-33, 33p

Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers.

Authors: Kosar, Tomaž Ostojić, Dragana Liu, Yu David et al.

Source: Mathematics (2227-7390); Mar2024, Vol. 12 Issue 5, p629, 22p

Subject Terms: CHATGPT, COMPUTER science education, LANGUAGE models, CHATBOTS, OBJECT-oriented programming

Use and Effectiveness of Chatbots as Support Tools in GIS Programming Course Assignments.

Authors: Hochmair, Hartwig H.

Source: ISPRS International Journal of Geo-Information; Apr2025, Vol. 14 Issue 4, p156, 19p

Subject Terms: LANGUAGE models, PSYCHOLOGY of students, GENERATIVE artificial intelligence, CHATGPT, SCHOOL integration, CHATBOTS

An Analysis of Three C/C++ Cluster-Computing Libraries for Agent-Based Models.

Authors: Fukuda, Munehiro Wang, Kevin Panther, Sarah et al.

Source: ACM Transactions on Modeling & Computer Simulation; Oct2025, Vol. 35 Issue 4, p1-31, 31p

Subject Terms: SIMULATION software, PARALLEL programming, MULTIAGENT systems, COMPUTER workstation clusters, COMPARATIVE studies, BENCHMARK problems (Computer science), COMPUTER software development, SOFTWARE libraries (Computer programming)

Computing Education in the Era of Generative AI.

Authors: Denny, Paul Prather, James Becker, Brett A. et al.

Source: Communications of the ACM; Feb2024, Vol. 67 Issue 2, p56-67, 12p

Subject Terms: GENERATIVE artificial intelligence, COMPUTER science education, LANGUAGE models, SOURCE code, STUDENT ethics, TEACHING

The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis.

Authors: Alanazi, Manal Soh, Ben Samra, Halima et al.

Source: Computers (2073-431X); May2025, Vol. 14 Issue 5, p185, 37p

Subject Terms: ARTIFICIAL intelligence, COMPUTER programming, COMPUTER programming education, TEACHING methods, PSYCHOLOGY of students

Fostering programming skill and critical thinking through AI-assisted PBL integration.

Authors: Omeh, Christian Basil Ayanwale, Musa Adekunle Mnguni, Lindelani E. et al.

Source: Journal of New Approaches in Educational Research; 9/30/2025, Vol. 14 Issue 1, p1-25, 25p

Subject Terms: COMPUTER programming education, CRITICAL thinking, INSTRUCTIONAL systems, COMPUTER science education, PROBLEM-based learning, RESOURCE-limited settings, HIGHER education, EDUCATIONAL technology

Geographic Terms: NIGERIA

Measure Student Aptitude in Learning Programming in Higher Education—A Data Analysis.

Authors: Pires, João Borges, Ana Rosa Bernardino, Jorge et al.

Source: Computers (2073-431X); Oct2025, Vol. 14 Issue 10, p428, 21p

Subject Terms: COMPUTER programming education, COGNITIVE testing, HIGHER education, PREDICTION models, EDUCATIONAL evaluation, ANALYTICAL skills, ACADEMIC achievement, DATA analysis

Assessing the Use of GitHub Copilot on Students of Engineering of Information Systems.

Authors: Cirett-Galán, Federico Torres-Peralta, Raquel Navarro-Hernández, René et al.

Source: International Journal of Software Engineering & Knowledge Engineering; Nov2024, Vol. 34 Issue 11, p1717-1734, 18p

Subject Terms: SOFTWARE development tools, SOFTWARE engineering, ENGINEERING students, CHATGPT, ARTIFICIAL intelligence

CodeCrafter - Efficient Code Generator for Modern Single-page Web Applications.

Authors: Vukosav, Danijela Banjac, Danijela Ljubojević, Miloš et al.

Source: International Journal of Electrical Engineering & Computing; Jun2025, Vol. 9 Issue 1, p1-9, 9p

Subject Terms: CODE generators, SOFTWARE frameworks, DATA modeling, APPLICATION program interfaces, WEB-based user interfaces

ChatGPT in the Classroom. Exploring Its Potential and Limitations in a Functional Programming Course.

Authors: Popovici, Matei-Dan

Source: International Journal of Human-Computer Interaction; Nov2024, Vol. 40 Issue 22, p7743-7754, 12p

Subject Terms: GENERATIVE artificial intelligence, GENERATIVE pre-trained transformers, CHATGPT, SOFTWARE engineering, SUPERVISED learning