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R. Harrad; R. Keasley; L. Jefferies – Higher Education Research and Development, 2024
Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…
Descriptors: Integrity, Cheating, College Students, Student Characteristics
Katharine Elizabeth Hubbard – Higher Education: The International Journal of Higher Education Research, 2024
Equity is increasingly seen as a core value for higher education systems around the world. (In)equity is often measured through construction of achievement gaps, quantifying the relative outcomes of two populations of students. Institution-level gaps are embedded in the policy landscape of HE, becoming performance metrics in their own right. These…
Descriptors: Equal Education, Achievement Gap, Identification, Measurement Techniques
Alexander K. Kofinas; Crystal Han-Huei Tsay; David Pike – British Journal of Educational Technology, 2025
Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Integrity, Performance Based Assessment
Evaluation of AI Content Generation Tools for Verification of Academic Integrity in Higher Education
Muhammad Bilal Saqib; Saba Zia – Journal of Applied Research in Higher Education, 2025
Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation
Martino Ongis; David Kidd; Jess Miner – Journal of Academic Ethics, 2024
As colleges and universities seek to invigorate ethics education, they need methods to identify where and describe how ethics is already present across their curricula. Meeting this need is complicated by the fact that much ethics education occurs in courses not explicitly focused on ethics or morality. In this paper, we review recent…
Descriptors: Higher Education, Ethics, College Curriculum, Relevance (Education)
Tyler Stillman – Journal of Educators Online, 2025
The current work introduces the concept of AI-trap questions as a tool for maintaining academic integrity in online courses. AI-trap questions are assessment tools designed to detect cheating by exploiting generative AI's tendency to provide answers that are common rather than context-specific. This paper explores theoretical perspectives of…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Online Courses
Kelli Bird – Association for Institutional Research, 2023
Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…
Descriptors: Prediction, Data Analysis, Artificial Intelligence, Identification
Cesare Giulio Ardito – New Directions for Teaching and Learning, 2025
This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Identification
Kertcher, Chen; Turin, Ornat – Communication Teacher, 2023
Courses: Media Literacy, Collective Memory, Political History. Objectives: The aim of this unit is for students to understand the role of feature films in the construction of historical memory. The proposed teaching unit deals with the analysis of biases and the construction of narrative in war films. The class was divided into groups, and…
Descriptors: War, Films, History, Bias
Moody, Angela M. – ProQuest LLC, 2023
Academic department chairs are middle managers in higher education that have unique positions within an institution. This study examined novice department chairs' leadership identity within eastern United States community colleges. Novice was defined as a person having three or fewer years of experience in the department chair position. The gap in…
Descriptors: Department Heads, Novices, Self Concept, Identification
Layers of Identity: Rethinking American Indian and Alaska Native Data Collection in Higher Education
Janiel Santos; Amanda R. Tachine – Institute for Higher Education Policy, 2024
All people deserve the opportunity to earn a better living and build a better life for themselves, their families, and their communities through a postsecondary education. But that opportunity is not available equally to all in the United States, and current postsecondary data sets and collection practices at the federal, state, and institutional…
Descriptors: Alaska Natives, American Indians, Higher Education, Data Collection
Edmund Pickering; Clancy Schuller – Journal of Academic Ethics, 2025
Online tools are increasingly being used by students to cheat. File-sharing and homework-helper websites offer to aid students in their studies, but are vulnerable to misuse, and are increasingly reported as a major source of academic misconduct. Chegg.com is the largest such website. Despite this, there is little public information about the use…
Descriptors: Foreign Countries, Higher Education, Engineering Education, College Students
Hill, John; Smith, Karen – Technology, Pedagogy and Education, 2023
Although higher education has engaged in blended learning since the early 1990s and its benefits are well catalogued, research often focuses on individual programmes and less on how institutions envision and engage with it to enhance learning and teaching. This article provides a pre-COVID 19 pandemic snapshot of cross-institutional UK policy and…
Descriptors: Blended Learning, Identification, Foreign Countries, Educational Policy
Khan, Zeenath Reza – International Journal for Educational Integrity, 2022
When considering a paradigm shift in higher education, it is imperative to focus on removing obstacles against maintaining integrity in academia. One such obstacle is contract cheating sites that have mushroomed disproportionately during the 18 months of emergency distance learning threatening graduate quality and university reputations (McKie,…
Descriptors: Foreign Countries, Cheating, Web Sites, Identification
Mehmet Özer; Alper Özer; Akin Koçak – Journal of Marketing for Higher Education, 2023
Identification and attachment are topics comprehensively investigated in consumer--brand and person--non-business institution relationships. However, little is known about the antecedents and consequences of these concepts in the university-student relationship. We investigate the attachment--identification connection with the student--university…
Descriptors: Identification, Higher Education, Psychological Patterns, Self Concept

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