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Iva Katzarska-Miller; J. J. Wallace – Journal of Faculty Development, 2025
The rapid integration of artificial intelligence (AI) tools into education has introduced both opportunities and challenges for academic institutions. As educators navigate whether and how to allow AI use in their classrooms, syllabus statements have become indispensable for clarifying expectations and promoting digital literacy. This article…
Descriptors: Teaching Methods, Artificial Intelligence, Integrity, Course Descriptions
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
Peng Zhang; Gemma Tur – European Journal of Education, 2024
This systematic review, adhering to the PRISMA framework, investigated the utilisation of ChatGPT, a language model developed by OpenAI, throughout Kindergarten to 12th grade (K-12) educational settings. The review synthesises findings from 13 selected papers, encompassing the strengths, weaknesses, opportunities, and threats (SWOT) analysis of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Kindergarten
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
Liat Shklarski; Kathleen Ray – Journal of Teaching in Social Work, 2024
Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…
Descriptors: Social Work, Counselor Training, Artificial Intelligence, Computer Software
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Oqab Jabali; Munther Saeedi; Yousef Alawneh – Education and Information Technologies, 2025
This study explores educators' perspectives on the impact of generative artificial intelligence (AI) on academic roles within Palestinian institutions. Through qualitative interviews and quantitative surveys, the research reveals significant anxiety among educators, particularly concerning the potential decline of traditional roles, educational…
Descriptors: Anxiety, College Faculty, Artificial Intelligence, Technology Integration
Maria Tsiani; Ioannis Lefkos; Nikolaos Fachantidis – Journal of Pedagogical Research, 2025
As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…
Descriptors: Graduate Students, Undergraduate Students, Student Attitudes, Technology Integration
Andrea Wilson; Cheryl Burleigh – Journal of Educational Research and Practice, 2025
Protecting research integrity is crucial for maintaining trust in the scholarly record. Historically, threats to research integrity stemmed from deliberate human actions, such as data manipulation and misrepresentation. Generative artificial intelligence (GAI) is increasingly prevalent in higher education and is capable of generating research data…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Accuracy
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Silvia Sierra-Martínez; María-Esther Martínez-Figueira; María Dolores Castro Pais; Teresa Pessoa – British Educational Research Journal, 2024
Academic integrity is part of the process that explains the communication of information in an ethical manner. Although the prevalence of dishonest acts at university has been noted, it is an aim of the educational system to analyse what motivates them from an age prior to their incorporation into university studies. The aim of this work is to…
Descriptors: Plagiarism, Photography, Participatory Research, High School Students
Irena Miljkovic Krecar; Maja Kolega; Lana Jurcec – IAFOR Journal of Education, 2024
In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Attitudes
Elizabeth Atieno Obura; Peter Imatari Emoit – Africa Education Review, 2024
This article aims to examine the opportunities and challenges of artificial intelligence (AI) in academic writing and research skills. It suggests recommendations that universities can use to develop to enhance the proper use of AI. As many institutions continue to embrace and use AI tools worldwide, questions surrounding its utilisation in the…
Descriptors: Artificial Intelligence, Computer Software, Academic Language, Writing (Composition)

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