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Nuru-Deen Mohammed – Online Submission, 2025
This article examines the application of Quality management principles to learning in the age of AI and digital transformation. The traditional model is considered to be inadequate in coping with modern challenges associated with AI deployment due to concerns of privacy, transparency, and measurement of outcomes. A conceptual model that is…
Descriptors: Total Quality Management, Artificial Intelligence, Technology Uses in Education, Ethics
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Faiz Subhani; Subayal Aftab Khan; Maqsood Ahmad Sandhu; Muhammad Farrukh Shahzad – TechTrends: Linking Research and Practice to Improve Learning, 2025
The adoption of generative AI in education has revolutionized science by producing human-like texts through contextual understanding, as OpenAI ChatGPT shows. OpenAI's widely used large language model, such as ChatGPT, has become quite popular, especially in higher education. This study examines different factors influencing the adoption and…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, College Students
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Timothy M. Daly; James C. Ryan – International Journal for Educational Integrity, 2024
This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by…
Descriptors: Search Engines, Contracts, Cheating, Web Sites
Amanda E. Graf – ProQuest LLC, 2024
The purpose of this qualitative study was to learn how digital-native college students perceive of cheating and plagiarism. Today's students grew up with high-speed internet, smartphones, and instant access to information. Their learning environment was greatly altered during the COVID-19 pandemic, shifting many from in-person to online learning.…
Descriptors: College Students, Private Colleges, Religious Colleges, Cheating
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Cheryl Burleigh; Andrea M. Wilson – Journal of Educational Technology Systems, 2024
With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…
Descriptors: Artificial Intelligence, Data Collection, Doctoral Dissertations, Research Methodology
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Yi Zheng; Kang Lee; Li Zhao – Developmental Science, 2024
Three preregistered studies examined whether 5-year-old children cheat consistently or remain honest across multiple math tests. We observed high consistency in both honesty and cheating. All children who cheated on the first test continued cheating on subsequent tests, with shorter cheating latencies over time. In contrast, 77% of initially…
Descriptors: Cheating, Ethics, Early Childhood Education, Mathematics Tests
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Min-Chieh Weng; Chen-Hsuan Liao; Oi-Man Kwok; Jiun-Yu Wu – Asia-Pacific Education Researcher, 2024
This study aimed to examine the predictive validity of junior high students' grit (including perseverance of effort (PE) and consistency of interest (CI)) on their short-term and long-term academic achievements using a longitudinal survey design under the structural equation modeling framework. Data were collected on 236 junior high students…
Descriptors: Integrity, Academic Achievement, Junior High School Students, Longitudinal Studies
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Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Jannik Aagerup; Rui Wang; Ben W. Mol; Wentao Li; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…
Descriptors: Integrity, Randomized Controlled Trials, Participant Characteristics, Computer Software
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Andrea Saltelli – Innovations in Education and Teaching International, 2024
The focus of this case study is the question, 'How can research integrity be taught in higher education?' I will share my experience of teaching this topic over the past three years, organising the various dimensions of research integrity under the broader theme of integrity in science, specifically in terms of norms, functions, and unity. Norms…
Descriptors: Scientific Research, Science Instruction, Teaching Methods, Integrity
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Curby Alexander; Liran Ma; Ze-Li Dou; Zhipeng Cai; Yan Huang – Journal of Cybersecurity Education, Research and Practice, 2024
Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality…
Descriptors: Students, Teachers, Inquiry, Computer Security
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Wei Zhu; Fei Yan; Jianfeng Zhu; Linzi Zhu; Fengyu Liu – Research Ethics, 2024
This paper describes a scoping review of China's academic resource databases, relevant official websites, news reports and public accounts spanning a period from the end of 2019 to the end of 2022, to investigate the challenges in scientific integrity and ethical soundness of research conducted during and immediately after the COVID-19 pandemic in…
Descriptors: Foreign Countries, Ethics, Integrity, Research Methodology
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Jovana Janinovic; Sanja Pekovic; Rajka Djokovic; Dijana Vuckovic – SAGE Open, 2024
This paper examined the role of honor codes and severity of punishment on the students' perception of cheating seriousness in order to assess the effectiveness of institutional policies on preventing the academic misconduct. In order to further put into perspective the obtained results, two moderating factors were included in the empirical…
Descriptors: School Policy, Ethics, Punishment, Cheating
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Scott E. Allen; René F. Kizilcec – Higher Education: The International Journal of Higher Education Research, 2024
Scientific and technological advancements over the last three decades have failed to reduce the widespread prevalence of academic dishonesty in higher education, in large part because institutional barriers prevent faculty from adopting existing tools to curb cheating. We conducted a systematic literature review of research on cheating and found…
Descriptors: Integrity, College Faculty, Barriers, Educational Change
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Asmaa Abdelnasser; Enjy Abouzeid; Enas M. A. Mostafa; Manal Ibrahim Hanafi Mahmoud; Nourhan F. Wasfy; Shaimaa A. Shehata – Journal of Academic Ethics, 2026
Plagiarism is a significant violation of academic integrity, becoming increasingly common in medical schools worldwide. Plagiarism is the act of appropriation or copying someone else's written, artistic, or other creative work as your own, either in part or in whole, without specifying the source or authorship of the original. This study aimed to…
Descriptors: Medical Students, Undergraduate Students, Ethics, Plagiarism
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Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
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