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Chaojin Wu – British Journal of Sociology of Education, 2025
Publishing is a critical avenue for scholars and a significant challenge for Chinese doctoral students. This study employs online ethnography to examine discussions on academic publishing anomie in the 'Graduated Group', including interviews with 10 doctoral students to explore the dynamics of academic misconduct. Under the high-pressure…
Descriptors: Publish or Perish Issue, Cheating, Risk Assessment, Doctoral Students
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Len Chan – Canadian Journal of Action Research, 2025
Anonymous marking, as a means to mitigate bias in grading, involves evaluating student work with their identities withheld. Anonymous marking is explored in this self-study to mitigate implicit bias, which negated a practitioner-researcher's educational values. The mixed methods action research findings show withholding student identities during…
Descriptors: Grading, Evaluation Methods, Student Evaluation, Bias
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Kong, Eugene H. – Journal of Educators Online, 2023
Letter grading systems in education have been widely accepted as a strong medium to assess the educational performance of students across the world. It has been a successful system for many years because it can motivate students to achieve satisfactory grades in a course. However, recent studies indicate that grades can also foster anxiety and…
Descriptors: Evaluation Methods, Self Evaluation (Individuals), Distance Education, Grading
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Stone, Anna – Journal of Academic Ethics, 2023
Background: Academic integrity (AI) is of increasing importance in higher education. At the same time, students are becoming more consumer-oriented and more inclined to appeal against, or complain about, a penalty imposed for a breach of AI. This combination of factors places pressure on institutions of higher education to handle alleged breaches…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
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Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
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Xiong, Yangchun; Pan, Zixuan; Yang, Ling – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due to the extensive promotion of online education worldwide amid the COVID-19 pandemic. Background: Contract cheating, also known as academic ghostwriting, refers to the act of students…
Descriptors: Foreign Countries, Correlation, Cheating, Online Courses
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Benson, Lyle; Enstroem, Rickard – International Journal for Educational Integrity, 2023
It is well known that students intentionally and unintentionally commit academic misconduct, but how can universities prevent academic misconduct and foster a culture of academic integrity? Based on a literature synthesis, an actionable Model for Preventing Academic Misconduct is presented. The model's basic premise is that students' voluntary…
Descriptors: Prevention, Cheating, Ethics, Business Education
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Hossain, Zakir – International Journal for Educational Integrity, 2022
Academic Integrity Literacy (AIL) is a critical transdisciplinary skill for academic success but many students do not receive this skill in their K-12 years regardless of their schooling system or characteristics of the community they belong to. Numerous research studies in higher education document that high school graduates lack AIL skills, but…
Descriptors: College Freshmen, Integrity, Cheating, Elementary Secondary Education
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Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
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Gülü, Mehmet; Yapici, Hakan – International Journal of Curriculum and Instruction, 2022
The aim of this research was to explore the attitudes of elite athletes towards performance enhancement through banned substances. In this study, survey model, which is one of the quantitative research methods, was used. Purposive sampling method was used in the data collection process. Participants consisted of a sample group of elite athletes (n…
Descriptors: Athletes, Attitudes, Drug Use, Cheating
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Stoesz, Brenda M.; Eaton, Sarah Elaine – Educational Policy, 2022
We examined 45 academic integrity policy documents from 24 publicly-funded universities in Canada's four western provinces using a qualitative research design. We extracted data related to 5 core elements of exemplary academic integrity policy (i.e., access, detail, responsibility, approach, support). Most documents pointed to punitive approaches…
Descriptors: Integrity, Ethics, Educational Policy, Cheating
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Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
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Sarah Moore; Kathryn Lookadoo – Business and Professional Communication Quarterly, 2024
This article presents the ongoing conversation about generative AI guidance and policy in higher education. The article examines syllabus policies, including analyzing sentiment, emotion, and common themes in GenAI policies. Findings show that policies should be audience-focused, clearly written, and grounded in strategies to promote ethical AI…
Descriptors: Artificial Intelligence, Educational Policy, Course Descriptions, Audience Awareness
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Juuso Henrik Nieminen; Sarah Elaine Eaton – Assessment & Evaluation in Higher Education, 2024
Assessment accommodations are used globally in higher education systems to ensure that students with disabilities can participate fairly in assessment. Even though assessment accommodations are supposed to promote access, not success, they are commonly portrayed as potentially being "cheating" in that they provide certain students with…
Descriptors: Foreign Countries, Higher Education, Testing Accommodations, Academic Accommodations (Disabilities)
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Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
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