Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 7 |
Descriptor
Cheating | 7 |
Computer Science Education | 7 |
Artificial Intelligence | 4 |
Programming | 4 |
Computer Software | 3 |
Integrity | 3 |
Plagiarism | 3 |
Automation | 2 |
Foreign Countries | 2 |
Higher Education | 2 |
Natural Language Processing | 2 |
More ▼ |
Source
Journal of Computer Assisted… | 2 |
ACM Transactions on Computing… | 1 |
Education and Information… | 1 |
Electronic Journal of… | 1 |
Higher Education for the… | 1 |
IEEE Transactions on Learning… | 1 |
Author
Adkins, Keith L. | 1 |
Ann-Sofie Östberg | 1 |
Chivers, William | 1 |
Daniel Gooch | 1 |
Goran Milutinovic | 1 |
Hanna Holmgren | 1 |
Jinshui Wang | 1 |
John Woodthorpe | 1 |
Jonas Boustedt | 1 |
Joyner, David A. | 1 |
Karnalim, Oscar | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Audience
Location
India | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Karnalim, Oscar; Simon; Chivers, William – IEEE Transactions on Learning Technologies, 2023
We have recently developed an automated approach to reduce students' rationalization of programming plagiarism and collusion by informing them about the matter and reporting uncommon similarities to them for each of their submissions. Although the approach has benefits, it does not greatly engage students, which might limit those benefits. To…
Descriptors: Gamification, Programming, Plagiarism, Cooperative Learning
Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
Adkins, Keith L.; Joyner, David A. – Journal of Computer Assisted Learning, 2022
Background: Plagiarism is a very serious offence in academic institutions. Yet there is some reluctance to address plagiarism by educators as its enforcement can require a significant time commitment if not handled wisely. Handling plagiarism at scale has the potential to exacerbate this problem. Objectives: This article explores the challenges…
Descriptors: Plagiarism, Large Group Instruction, Online Courses, Computer Science Education
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation