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Showing 1 to 15 of 28 results Save | Export
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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
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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
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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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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
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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
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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
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Berson, Ilene R.; Berson, Michael J. – Social Education, 2023
The authors describe the potential of artificial intelligence (AI) applications like ChatGPT to address the challenges faced in social studies education and develop strategies for its effective integration into the classroom. This includes identifying the ethical implications of AI, its impact on assessment methods, and opportunities for…
Descriptors: Social Studies, Teaching Methods, Artificial Intelligence, Computer Software
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Andrew Williams – International Journal of Research in Education and Science, 2025
The possibilities for integrating generative artificial intelligence (AI) and large language models (LLMs) into higher education may revolutionise approaches to pedagogical practices and curriculum design, while LLMs could be transformative in how students approach their learning. This conversation with ChatGPT, and associated critical evaluation,…
Descriptors: Science Education, Higher Education, Integrity, Artificial Intelligence
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Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Sarah Elaine Eaton – Online Submission, 2023
If you think academic integrity is only about student conduct, you may be living in the past. In this opening keynote, Dr. Sarah Elaine Eaton, provides insights from the latest research around the world that shows how academic and research integrity include, and extend student conduct. She'll bring insights from the "Handbook of Academic…
Descriptors: Guides, Ethics, Integrity, Plagiarism
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Akbari, Alireza – Journal of Further and Higher Education, 2021
Much progress has been made in the areas of diminishing, avoiding, and resisting plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across the globe have been struggling with plagiarism, giving a number of lectures and writing articles pinpointing strategies that take into account on-line plagiarism services such…
Descriptors: Translation, Plagiarism, Integrity, Prevention
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Rodafinos, Angelos – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that "follow" the identification of an incident. The scope is to identify the need for and…
Descriptors: Plagiarism, Intervention, Prevention, Higher Education
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Dinneen, Cara – English Australia Journal, 2021
This article considers the challenges heralded by digital technology in relation to the management of academic integrity on high-stakes Direct Entry English Programs in Australia. Firstly, a number of the ways in which students are using digital tools to complete assignment writing are examined. Secondly, findings from a review of academic…
Descriptors: Phrase Structure, Integrity, Barriers, Information Technology
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Jones, Michael; Sheridan, Lynnaire – Assessment & Evaluation in Higher Education, 2015
Advances have been made in detecting and deterring the student plagiarism that has accompanied the uptake and development of the internet. Many authors from the late 1990s onwards grappled with plagiarism in the digital age, presenting articles that were provoking and established the foundation for strategies to address cyber plagiarism, including…
Descriptors: Cheating, Plagiarism, Student Behavior, Internet
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