On the public citation graph

Software Engineering Education in Chatgpt Era: Experiences on Adjustments in Programming Course for Novice Programmers

0 signed · 35 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-55642-5_4openalex-snapshot
ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
inferredcites →https://doi.org/10.1007/978-3-642-29044-2openalex-snapshot
Experimentation in Software Engineering
inferredcites →https://doi.org/10.1007/978-81-322-3972-7_19openalex-snapshot
Natural Language Processing
inferredcites →https://doi.org/10.1007/s10439-022-03121-wopenalex-snapshot
The Future of AI in Medicine: A Perspective from a Chatbot
inferredcites →https://doi.org/10.1007/s10515-025-00492-xopenalex-snapshot
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair
inferredcites →https://doi.org/10.1007/s10664-008-9060-1openalex-snapshot
The role of replications in Empirical Software Engineering
inferredcites →https://doi.org/10.1007/s10664-023-10380-1openalex-snapshot
Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?
inferredcites →https://doi.org/10.1007/s12195-022-00754-8openalex-snapshot
A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education
inferredcites →https://doi.org/10.1016/j.chbah.2023.100005openalex-snapshot
Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning
inferredcites →https://doi.org/10.1016/j.cola.2020.100987openalex-snapshot
Lavoisier: A DSL for increasing the level of abstraction of data selection and formatting in data mining
inferredcites →https://doi.org/10.1016/j.cola.2023.101209openalex-snapshot
A domain-specific language for describing machine learning datasets
inferredcites →https://doi.org/10.1016/j.compedu.2023.104898openalex-snapshot
Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learning
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2023.102642openalex-snapshot
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
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/j.mlwa.2020.100006openalex-snapshot
Chatbots: History, technology, and applications
inferredcites →https://doi.org/10.1038/d41586-023-00340-6openalex-snapshot
What ChatGPT and generative AI mean for science
inferredcites →https://doi.org/10.1038/s42256-023-00644-2openalex-snapshot
Large language models challenge the future of higher education
inferredcites →https://doi.org/10.1109/access.2023.3268224openalex-snapshot
Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey
inferredcites →https://doi.org/10.1109/icse-companion55297.2022.9793778openalex-snapshot
Is GitHub Copilot a Substitute for Human Pair-programming? An Empirical Study
inferredcites →https://doi.org/10.1109/mc.2023.3256123openalex-snapshot
Are We Writing for Bots or Humans?
inferredcites →https://doi.org/10.1109/tse.2022.3176725openalex-snapshot
Construct Validity in Software Engineering
inferredcites →https://doi.org/10.1145/234867.234872openalex-snapshot
Programming pedagogy—a psychological overview
inferredcites →https://doi.org/10.1145/3501709.3544280openalex-snapshot
Generating Diverse Code Explanations using the GPT-3 Large Language Model
inferredcites →https://doi.org/10.1145/3587102.3588794openalex-snapshot
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course.
inferredcites →https://doi.org/10.1145/3613944.3613946openalex-snapshot
ChatGPT in Computer Science Curriculum Assessment: An analysis of Its Successes and Shortcomings
inferredcites →https://doi.org/10.1145/3628162openalex-snapshot
Can Students without Prior Knowledge Use ChatGPT to Answer Test Questions? An Empirical Study
inferredcites →https://doi.org/10.3389/feduc.2023.1206936openalex-snapshot
The impact of ChatGPT on higher education
inferredcites →https://doi.org/10.3390/app13095783openalex-snapshot
ChatGPT for Education and Research: Opportunities, Threats, and Strategies
inferredcites →https://doi.org/10.3390/app13106039openalex-snapshot
ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics
inferredcites →https://doi.org/10.48550/arxiv.2107.03374openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
inferredcites →https://doi.org/10.48550/arxiv.2212.09292openalex-snapshot
ChatGPT: The End of Online Exam Integrity?
inferredcites →https://doi.org/10.48550/arxiv.2302.11382openalex-snapshot
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
inferredcites →https://doi.org/10.48550/arxiv.2305.02230openalex-snapshot
Can ChatGPT Pass An Introductory Level Functional Language Programming Course?

What points at this work

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

inferred← citeshttps://doi.org/10.5753/wei.2026.20394openalex-snapshot
Aplicações de LLMs no ensino de Programação Orientada a Objetos: Um Mapeamento Sistemático da Literatura
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.