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Agwu, Prince; Odii, Aloysius; Orjiakor, Tochukwu; Roy, Pallavi; Nzeadibe, Chidi; Onalu, Chinyere; Okoye, Uzoma Odera; Onwujekwe, Obinna – Quality Assurance in Education: An International Perspective, 2022
Purpose: The purpose of this study is to describe the nature and operations of schools commonly regarded as "Miracle Examination Centres (MECs)" in Nigeria, through the lens of stakeholders in education. This study also assessed stakeholders' perspectives on the possible solutions to the problem of MECs. Design/methodology/approach: The…
Descriptors: Foreign Countries, Educational Malpractice, Cheating, Stakeholders
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Ahsan, Kamrul; Akbar, Suraiyah; Kam, Booi – Assessment & Evaluation in Higher Education, 2022
Contract cheating is an increasingly challenging problem facing the higher education sector. This study assesses the current state of contract cheating research from various methodological and empirical perspectives. Through a systematic literature review of 51 peer-reviewed articles on contract cheating in higher education, we identify clusters…
Descriptors: Cheating, College Students, Literature Reviews, Integrity
Kevin S. Sutherland; Bryce D. McLeod – Grantee Submission, 2022
The purpose of this special series is to highlight how the measurement of integrity, both treatment integrity and integrity for implementation strategies, can support intervention development, evaluation, and implementation research. The seven papers and one commentary in this special series illustrate how diverse measurement approaches are used…
Descriptors: Measurement, Integrity, Outcomes of Treatment, Mental Health Programs
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Kevin S. Sutherland; Bryce D. McLeod – School Mental Health, 2022
The purpose of this special series is to highlight how the measurement of integrity, both treatment integrity and integrity for implementation strategies, can support intervention development, evaluation, and implementation research. The seven papers and one commentary in this special series illustrate how diverse measurement approaches are used…
Descriptors: Measurement, Integrity, Outcomes of Treatment, Mental Health Programs
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Maame Afua Nkrumah; Ronald Osei Mensah; Alwyna Sackey Addaquay – Discover Education, 2025
The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…
Descriptors: Gender Differences, Student Attitudes, Student Research, Self Efficacy
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Ruth C. Slotnick; Joanna Z. Boeing – New Directions for Teaching and Learning, 2025
This study explores the use of generative AI, specifically Google's Bard and OpenAI's ChatGPT, to enhance qualitative research within higher education assessment, focusing on institutional assessment practitioners. Using a dataset focused on diversity, equity, and inclusion (DEI) from annual faculty assessment reports, we tested traditional…
Descriptors: Educational Research, Qualitative Research, Research Methodology, Artificial Intelligence
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Christian Basil Omeh; Chijioke Jonathan Olelewe; Xiao Hu – Education and Information Technologies, 2025
The adoption of generative AI in educational process carries both potential advantages and risks hence there is a need for ethical principles to guide its adoption in education. A population of 443 TVET educators, including 325 male and 118 female, was selected for this study using a mixed research design from the seven TVET public institutions in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Career and Technical Education, Ethics
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Sghaier Guizani; Tehseen Mazhar; Tariq Shahzad; Wasim Ahmad; Afsha Bibi; Habib Hamam – Discover Education, 2025
Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
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Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
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Naifa Alqahtani; Zarina Wafula – Innovative Higher Education, 2025
The academic landscape is evolving with the integration of generative AI technologies, creating a new era in teaching and learning processes. This study investigates the integration of artificial intelligence (AI) within pedagogical strategies and policies at leading universities. It delves into how higher education institutions are amending and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Strategies, Educational Policy
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Leonard Tan – Philosophy of Music Education Review, 2025
As the philosophy of music education further internationalizes with Asian philosophies in recent years, the problem of language is a crucial issue that can no longer be ignored. When mining ideas originally written in non-English languages, is it possible to truly know what was said or written? Is knowledge of the original language necessary? When…
Descriptors: International Education, Music Education, Educational Philosophy, Asian Culture
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Adam Finkel-Gates – Journal of Learning Development in Higher Education, 2025
This study examines the impact of AI, particularly ChatGPT, on academic integrity and assessment practices in higher education. As AI integration grows, concerns about its potential to undermine academic rigour and increase inequalities have surfaced. Through interviews with students and a lecturer, the research explores the benefits and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods
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Pisut Pongchaikul; Pornpun Vivithanaporn; Nanthicha Somboon; Jitpisuth Tantasiri; Thanyarat Suwanlikit; Amornrat Sukkul; Taddaw Banyen; Athinan Prommahom; Samart Pakakasama; Artit Ungkanont – Journal of Academic Ethics, 2025
The COVID-19 pandemic significantly impacted medical education, causing a shift towards online learning. However, this transition posed challenges in administering online assessments, particularly in proctoring and detecting academic misconduct. This study aimed to investigate the prevalence of academic misconduct among medical students during…
Descriptors: COVID-19, Pandemics, Medical Education, Online Courses
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Phillip Poulton; Mairéad Holden; Claire Golledge – International Journal of Research & Method in Education, 2025
This paper explores the value in expanding existing compliance-focused approaches to research ethics, to one which facilitates researchers' ongoing ethical reflexivity. The authors explore the use of 'ethical trialogues' -- or technology-mediated reflective discussions -- between doctoral research students as a means of fostering deeper ethical…
Descriptors: Doctoral Students, Doctoral Programs, Ethics, Technology Integration
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Ahmad, Masduki; Rochimah, Heni – International Journal of Evaluation and Research in Education, 2021
The study aimed to determine the impact of transformational leadership and integrity on the performance of a company. The research sample was 123 lecturers at As-Syafi'iyah Islamic University, Indonesia. The analysis model of this study was a path analysis. Observation and questionnaires were used to obtain the research data. Teaching…
Descriptors: Instructional Effectiveness, Transformational Leadership, Integrity, College Faculty
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