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Michael D'Addario – Discover Education, 2025
With the proliferation of easy-to-use generative AI tools such as ChatGPT, students in college composition courses can and do take advantage of such technology to assist with essay writing. While a growing body of research does not see using these tools as a problem in itself, institutional, departmental, and instructor policies about generative…
Descriptors: Taxonomy, Language Usage, Artificial Intelligence, Computer Software
Stefania Badiglio; Giuseppe Chiazzese; Vito Pipitone; Luciano Seta – International Journal on E-Learning, 2024
This study explores the interaction between artificial intelligence (AI) and human behavior in economic contexts, focusing on using generative AI, such as ChatGPT, to examine trust and reciprocity. Through an experiment conducted at LUMSA in Palermo, 61 economics students participated in three economic games: the Ultimatum Game, the Trust Game,…
Descriptors: Artificial Intelligence, Computer Software, Asynchronous Communication, Man Machine Systems
Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen – Open Praxis, 2025
Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Computer Software
Johnson, Clare; Davies, Ross; Reddy, Mike – International Journal for Educational Integrity, 2022
Academic misconduct in all its various forms is a challenge for degree-granting institutions. Whilst text-based plagiarism can be detected using tools such as Turnitin™, Plagscan™ and Urkund™ (amongst others), contract cheating and collusion can be more difficult to detect, and even harder to prove, often falling to no more than a 'balance of…
Descriptors: Student Behavior, College Students, Plagiarism, Cheating
Jonathan W. Camp; Heather Johnson – Communication Teacher, 2025
This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Public Speaking, Computer Software
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
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
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Fulya Torun; Seda Özer Sanal – International Journal of Technology in Education, 2025
Education should strive to keep pace with the developments of the modern world and to fulfill its mission by not deviating from the principles of ethical and effective learning. In this process, it continues to be tested by unstoppable technological developments. GAI, with both its positive and negative effects, has spread incredibly quickly to…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
Muhammad Farrukh Shahzad; Shuo Xu; Iqra Javed – International Journal of Educational Technology in Higher Education, 2024
As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, has gained significant importance, particularly in education. This study investigates the awareness, acceptance, and…
Descriptors: Artificial Intelligence, Computer Software, College Students, Student Attitudes
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Higher Education Research and Development, 2024
AI-powered ChatGPT has sparked considerable discussion in media, academia, and the scientific community of late. This empirical study reports on how higher education (HE) students in Nepal have utilized, experienced, and perceived this technology. This study, based on a qualitative design, utilized semi-structured interviews with university…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Uses in Education
Sara Cotelli Kureth; Elisabeth Paliot; Suzana Zink – Language Learning in Higher Education, 2025
This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…
Descriptors: Artificial Intelligence, Computer Software, Digital Literacy, Technology Integration
C. Christine Fair – Journal of College and Character, 2023
The demand for online invigilation programs had dramatically increased due to the expansion of online learning; however, demand was further galvanized by the COVID-19 pandemic. Unfortunately, there are many technical and ethical problems with these programs that cannot be easily mitigated. Notably, they are beset by several inherent racial,…
Descriptors: Evidence, Cheating, COVID-19, Pandemics
John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
Pàmies, Maria del Mar; Valverde, Mireia; Cross, Christine – Assessment & Evaluation in Higher Education, 2020
This article examines the management of the seemingly ubiquitous problem of plagiarism by students in higher education. An integrated review of the conceptual and empirical literature to date is undertaken in the pursuit of two objectives. First, to provide structure to the scattered knowledge about the topic, which is achieved by developing a…
Descriptors: Plagiarism, Educational Research, College Students, Cheating