Publication Date
| In 2026 | 0 |
| Since 2025 | 30 |
| Since 2022 (last 5 years) | 77 |
| Since 2017 (last 10 years) | 105 |
| Since 2007 (last 20 years) | 125 |
Descriptor
| Computer Software | 137 |
| Integrity | 137 |
| Plagiarism | 62 |
| Cheating | 59 |
| Artificial Intelligence | 56 |
| Ethics | 55 |
| Foreign Countries | 47 |
| Teaching Methods | 41 |
| Higher Education | 31 |
| College Students | 30 |
| Student Attitudes | 30 |
| More ▼ | |
Source
Author
| Crossman, Katherine | 2 |
| Dawson, Phillip | 2 |
| Eaton, Sarah Elaine | 2 |
| Elkhatat, Ahmed M. | 2 |
| Gyeonggeon Lee | 2 |
| Hamilton, Margaret | 2 |
| Kaktinš, Louise | 2 |
| Maurer, Karsten | 2 |
| Min Li | 2 |
| Rogerson, Ann M. | 2 |
| Sutherland-Smith, Wendy | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 9 |
| United Kingdom | 6 |
| Canada | 5 |
| Hong Kong | 4 |
| China | 3 |
| Turkey | 3 |
| United States | 3 |
| Greece | 2 |
| India | 2 |
| Israel | 2 |
| Spain | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Flesch Kincaid Grade Level… | 1 |
What Works Clearinghouse Rating
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Higher Education Research and Development, 2024
AI-powered ChatGPT has sparked considerable discussion in media, academia, and the scientific community of late. This empirical study reports on how higher education (HE) students in Nepal have utilized, experienced, and perceived this technology. This study, based on a qualitative design, utilized semi-structured interviews with university…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Uses in Education
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
Paul Riser – English in Education, 2025
This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…
Descriptors: Ethics, English Instruction, Teaching Methods, Artificial Intelligence
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Steven Michels – Journal of Political Science Education, 2024
The advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional…
Descriptors: Political Science, Artificial Intelligence, Computer Software, Teaching Methods
Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
Jill Manczka – ProQuest LLC, 2024
Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Olumide Ojo – International Journal of Education and Development using Information and Communication Technology, 2024
This study explores factors influencing Nigerian Higher Education students to adopt ChatGPT in learning. Using the technology acceptance model (TAM), this research aims to identify the key factors influencing the behavioural intentions of Nigerian undergraduate students to adopt ChatGPT in their academic pursuits. This study's theoretical…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Undergraduate Students
Izzet Dos – European Educational Researcher, 2025
This systematic review synthesizes research published between January 2023 and March 2025 on the integration of ChatGPT in higher education. Following PRISMA guidelines, a total of 20 peer-reviewed empirical studies were selected from Web of Science and Scopus databases. These studies represent diverse global contexts and methodological…
Descriptors: Research Reports, Artificial Intelligence, Computer Software, Integrity
Derar Serhan; Natalie Welcome – International Society for Technology, Education, and Science, 2023
Recently, institutions have increased their online course offerings as well as their online degrees. With this significant growth in online offerings, assessment integrity becomes a concern. In response to this concern, many institutions have adopted the use of online proctoring services. The aim of using these online proctoring services is to…
Descriptors: Computer Assisted Testing, Privacy, Student Attitudes, Ethics
Liles, Lee-Ann A. – Voices in Education, 2019
This article explores the increase in plagiarism commensurate with the accessibility of academic sources via technology in the 21st century. The author addresses the responsibility of higher education in implementing academic integrity policies and programmes to create cohesive and informative practices.
Descriptors: Plagiarism, Higher Education, Internet, Information Sources

Peer reviewed
Direct link
