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Kong Chen; April C. Tallant; Ian Selig – Information and Learning Sciences, 2025
Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…
Descriptors: Artificial Intelligence, Higher Education, College Students, Technology Integration
James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
Dhruv Grewal; Abhijit Guha; Cinthia Beccacece Satornino; Marc Becker – Journal of Marketing Education, 2025
Employers expect university graduates seeking entry-level marketing jobs to be well-versed in contemporary topics, such as sustainable development, digital marketing, big data, analytics, and the role of artificial intelligence (AI) in both traditional and contemporary marketing domains. Because many of today's cutting-edge technological advances…
Descriptors: Futures (of Society), Marketing, Business Education, Teaching Methods
Heather Johnston; Maria Eaton; Isabel Henry; Eva-Marie Deeley; Bryony N. Parsons – Journal of Learning Development in Higher Education, 2025
The aim of this project was to identify ways in which students are using Generative Artificial Intelligence (GAI) technologies for the planning and researching stage of essay style assignments. The study recruited 30 students from various subject areas and levels of study and with different self-reported levels of confidence in using GAI tools.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Academic Language
Holly Ryan; Daniel Abramov; Samantha Acker; Sydney Elkins – Thresholds in Education, 2025
This paper explores the complexities of co-authorship involving generative AI in academic contexts, focusing on an honors English class where students engaged with AI tools like ChatGPT. It critiques the boundaries of authorship as defined by COPE, which argues AI cannot be an author due to its lack of accountability. The study explores the…
Descriptors: Artificial Intelligence, Writing (Composition), Honors Curriculum, English Instruction
Donnie Adams; Kee-Man Chuah; Edward Devadason; Muhammad Shamshinor Abdul Azzis – Education and Information Technologies, 2024
The emergence of chatbots and language models, such as ChatGPT has the potential to aid university students' learning experiences. However, despite its potential, ChatGPT is relatively new. There are limited studies that have investigated its usage readiness, and perceived usefulness among students for academic purposes. This study investigated…
Descriptors: Foreign Countries, College Students, Student Behavior, Help Seeking
Antti Kauppinen – Sport Management Education Journal, 2025
Introducing ChatGPT offered higher education students a chance to use artificial intelligence to automatically generate assignment texts, and some might cheat in behaviorist tasks by using generative artificial intelligence. However, the introduction of ChatGPT could also lead instructors to expect more (rather than less) academic integrity in…
Descriptors: Artificial Intelligence, College Students, Technology Uses in Education, Athletics
Field M. Watts; Amber J. Dood; Ginger V. Shultz; Jon-Marc G. Rodriguez – Journal of Chemical Education, 2023
Chemistry education research demonstrates the value of open-ended writing tasks, such as writing-to-learn (WTL) assignments, for supporting students' learning with topics including reasoning about reaction mechanisms. The emergence of generative artificial intelligence (AI)technology, such as chatbots ChatGPT and Bard, raises concerns regarding…
Descriptors: College Students, Science Instruction, Organic Chemistry, Thinking Skills
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
Lisa Otto – Africa Education Review, 2024
ChatGPT has been on the lips and minds of academics and students alike since the launch of the generative technology in November 2022. Students have made use of it and academic institutions have debated how to respond to its use, variously either banning it outright or arguing that there should be a place for such technologies in our teaching and…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Ursula Holzmann; Sulekha Anand; Alexander Y. Payumo – Advances in Physiology Education, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Thinking Skills
Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education
Yu, Eunjyu – Journal of Educators Online, 2023
Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cognitive Style
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