Publication Date
In 2025 | 2 |
Since 2024 | 9 |
Since 2021 (last 5 years) | 11 |
Since 2016 (last 10 years) | 25 |
Since 2006 (last 20 years) | 32 |
Descriptor
Cheating | 32 |
Computer Software | 32 |
Teaching Methods | 32 |
Plagiarism | 16 |
College Students | 15 |
Foreign Countries | 15 |
Student Attitudes | 14 |
Integrity | 12 |
Ethics | 11 |
College Faculty | 10 |
Teacher Attitudes | 10 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Policymakers | 2 |
Teachers | 2 |
Administrators | 1 |
Parents | 1 |
Students | 1 |
Location
Australia | 3 |
Canada | 2 |
United Kingdom | 2 |
Brazil | 1 |
Bulgaria | 1 |
Cambodia | 1 |
Florida | 1 |
Hong Kong | 1 |
Illinois | 1 |
Illinois (Urbana) | 1 |
Japan | 1 |
More ▼ |
Laws, Policies, & Programs
Americans with Disabilities… | 1 |
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education
Daire Maria Ni Uanachain; Lila Ibrahim Aouad – Thresholds in Education, 2025
This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Huiling Ma; Lilliati Ismail; Weijing Han – Education and Information Technologies, 2024
The advancement and application of Artificial Intelligence (AI) has introduced innovative changes in language learning and teaching. In particular, the widespread utilization of various chatbots as foreign language learning partners showcases their remarkable potential contribution to the field. Nevertheless, there are currently few studies that…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Second Language Learning
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Mengkorn Pum; Sarin Sok – Asian Journal of Distance Education, 2024
With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Software
Editorial Projects in Education, 2024
Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…
Descriptors: Integrity, Artificial Intelligence, Teaching Methods, Computer Software
Yiwen Li – Studies in Applied Linguistics & TESOL, 2024
In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Learning Processes
Melnychenko, Anatolii; Zheliaskova, Tetiana – Advanced Education, 2021
The rapid spread of the SARS-CoV-2 coronavirus has led to the global COVID-19 pandemic and a lockdown was introduced in Ukraine in March 2020. This forced universities to urgently transform the traditional system of organisation of the educational process and transfer to distance learning. This study aims to evaluate the distance learning system…
Descriptors: COVID-19, Pandemics, Foreign Countries, Educational Change
M. Huerta-Gomez-Merodio; M. A. Fernández-Ruiz; M. V. Requena-Garcia-Cruz – European Journal of Education, 2024
Research on improving engineering skills in students advocates for high-quality teaching practices as well as the implementation of digitally enhanced management systems, such as e-Learning. Furthermore, COVID-19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This…
Descriptors: Electronic Learning, Blended Learning, Engineering Education, Skill Development
Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education
Luck, Jo-Anne; Chugh, Ritesh; Turnbull, Darren; Rytas Pember, Edward – Higher Education Research and Development, 2022
Increasing incidents of academic dishonesty are a problem for universities globally. The traditional approach to dealing with academic dishonesty has been to detect and punish, which may not be the best solution. This study explored the perceptions of sessional teaching staff (a growing but often neglected workforce) on academic integrity and…
Descriptors: Integrity, Cheating, Universities, Teacher Attitudes
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Kaktinš, Louise – Ethics and Education, 2018
At a time when contract cheating advertisements are proliferating both online and offline, an analysis of their format, wording and approach furnishes critical information for educational providers about the attitudes of international students towards academic honesty. This analysis, in company with the available research literature, points to…
Descriptors: Cheating, Ethics, Integrity, Advertising
Linantud, John; Kaftan, Joanna – Journal of Political Science Education, 2019
This article uses a multimethod research design to compare Statecraft to non-Statecraft assignments and courses along three dimensions: student engagement, political attitudes, and academic honesty. The results indicate that Statecraft increased student engagement and academic honesty. In terms of political attitudes, students generally remained…
Descriptors: Political Science, Teaching Methods, Comparative Analysis, International Relations
Shang, Hui-Fang – Journal of Computing in Higher Education, 2019
Plagiarism is often considered as cheating, dishonesty, copying, or moral failing in writing because it is the act of stealing others' language and ideas without proper citation or paraphrasing. However, this idea is not universally shared because people from different cultural backgrounds are likely to conceptualize plagiarism differently. To…
Descriptors: Computer Software, Plagiarism, English (Second Language), Second Language Learning