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Yudong Cai; Qiyue Deng; Ting Lv; Wan Zhang; Yi Zhou – Science & Education, 2025
The advent of GPT (generative pre-trained transformer) technologies, such as OpenAI's ChatGPT, Microsoft's New Bing, and Google's Bard, has recently sparked lively discussions in various industries. However, it is still unclear what impact the advent of GPT will have on the academic sectors. In light of this, we have undertaken a summary and…
Descriptors: Computer Software, Synchronous Communication, Artificial Intelligence, Influence of Technology
Lydia Arnold; James Croxford – Teaching in Higher Education, 2025
Authentic assessment is a widely discussed concept in higher education, but it has a problem: the concept has become so all-encompassing that its meaning is now unclear. The notion has been expanded and diluted. For example, adding social justice to the definition or positioning exams as authentic, adds to the contradictions inherent within in the…
Descriptors: Performance Based Assessment, Higher Education, Vocabulary, Evaluation Methods
Mike Perkins; Jasper Roe – Higher Education Policy, 2024
This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…
Descriptors: Educational Policy, Decoding (Reading), Integrity, Artificial Intelligence
Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
Mostafa Al-Emran; Mohammed A. Al-Sharafi; Behzad Foroughi; Noor Al-Qaysi; Dahlia Mansoor; Amin Beheshti; Nor'ashikin Ali – Education and Information Technologies, 2025
The rapid rise of Generative AI in education has brought transformative potential. However, there is limited empirical insight into the factors influencing students' use of these tools and their impact on academic performance. Specifically, research has not thoroughly examined how task-technology fit and behavioral factors shape Generative AI…
Descriptors: Influence of Technology, Artificial Intelligence, Technology Uses in Education, Academic Achievement
Beatriz Antonieta Moya; Sarah Elaine Eaton – Journal of Academic Ethics, 2024
New technologies could facilitate new ways of cheating. This emerging scenario places academic integrity policy in higher education institutions as critical. Academic integrity scholars have designed conceptual frameworks to analyze academic integrity policy. The body of the literature on academic integrity policy analysis includes studies…
Descriptors: Foreign Countries, Universities, Integrity, Ethics
Steven J. Hyde; Antoine Busby; Robert L. Bonner – Journal of Management Education, 2024
This essay examines strategies for thoughtfully integrating generative AI (Gen-AI) into management curricula to enhance student learning while mitigating risks like overreliance. We make the case that outright resistance is counterproductive; instead, management educators should embrace Gen-AI's potential to create more engaging, experiential…
Descriptors: College Students, Artificial Intelligence, Business Administration Education, Management Development
Idris Zubairu Sadiq – Journal of College and Character, 2024
Despite efforts to eradicate academic dishonesty in educational settings, the phenomenon persists and cheating is increasingly becoming easier due to the advancement of information technology. Factors like peer pressure, time constraints, stress, and workload contribute to dishonest behavior among students. This article emphasizes the importance…
Descriptors: Integrity, Higher Education, Ethics, Cheating
Rajlaxmi Chouhan – Learning: Research and Practice, 2024
This paper presents simple and intuitive strategies for effective online assessment of a freshman engineering course. The proposed strategies for unproctored online exams include creating multiple sets with identical options, using image-format questions, maintaining short duration of exam, and employing a rotational assignment. Unlike a…
Descriptors: Engineering Education, Tests, Electronic Learning, Supervision
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
Xuyen Le – Education Research and Perspectives, 2024
The emergence of Generative Artificial Intelligence (GenAI) has reshaped higher education with both promising opportunities and significant challenges. Yet little is known about how global educational policies are evolving to address the assessment challenges posed by GenAI in terms of 'ethical considerations.' Additionally, current research has…
Descriptors: Artificial Intelligence, Educational Assessment, Educational Change, Higher Education
Melissa A. St. Hilaire; Jimmy Franco – Journal of Chemical Education, 2023
Higher education constantly has to adapt to meet the changing needs of our students. One of the challenges instructors have faced when delivering online courses is the assessment integrity. This issue was highlighted during the COVID-19 pandemic, which forced educators to quickly convert traditional in-person courses to online versions of the…
Descriptors: Online Courses, COVID-19, Pandemics, Intermode Differences
Zeenath Reza Khan – Journal of Academic Ethics, 2024
The global surge in academic misconduct during the COVID-19 pandemic, exacerbated by remote teaching and online assessment, necessitates a comprehensive understanding of the multidimensional aspects and stakeholders' perspectives associated with this issue. This paper addresses the prevalent use of answer-providing sites and other types of…
Descriptors: COVID-19, Pandemics, Stakeholders, Integrity
Daniel J. Anderson; C. Edward Watson; Lee Rainie; Janna Anderson – American Association of Colleges and Universities, 2025
This free guide empowers students with the insights they need to navigate the age of AI academically, professionally, and ethically. It includes guidance for responsible academic AI use, a checklist for ethical and effective engagement with AI, and tips on incorporating AI to enhance student capabilities. It also outlines how to build an effective…
Descriptors: College Students, Student Experience, Technology Uses in Education, Artificial Intelligence
Beck Wise; Lisa Emerson; Ariella Van Luyn; Bronwen Dyson; Collin Bjork; Susan E. Thomas – Higher Education Research and Development, 2024
Concerns about the role of technology and the quality of student writing in higher education are not new. Historically, writing scholars have been at the forefront of initiatives that scrutinise and integrate new technologies in higher education. This article contends that writing scholars are again uniquely equipped to assist students, teachers…
Descriptors: Scholarship, Writing (Composition), Integrity, Authors
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