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Kyle Redican; Matteo Gonzalez; Beth Zizzamia – Journal of Geography in Higher Education, 2025
ChatGPT, an AI software, has rapidly gained popularity for a wide variety of applications, including educational uses. This research explores the use of ChatGPT to supplement Geographical Information Systems (GIS) coursework creation, to help educators with little experience in GIS. Visualizing sea level rise (SLR) and quantifying the extent of…
Descriptors: Geographic Information Systems, Computer Software, Synchronous Communication, Artificial Intelligence
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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
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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
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Amanda J. Shaker; Christopher Brignell; Mathew Pugh – International Journal of Mathematical Education in Science and Technology, 2025
A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…
Descriptors: Undergraduate Students, Reading Assignments, Educational Technology, Technology Uses in Education
Aaron Blackwelder; Jason Cowley – Corwin, 2025
Artificial intelligence (AI) is here and seems on the brink of transforming education. As teachers, we know that AI will not diminish the need for students to learn essential skills. It will, however, change how we teach and will require us to develop new skill sets for instruction and assessment. Teachers have a new opportunity--to embrace…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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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
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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
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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
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Madison A. Pollino; Elliot A. Powell; Melissa L. McCormick – Communication Teacher, 2025
This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…
Descriptors: Artificial Intelligence, Natural Language Processing, Public Speaking, Technology Uses in Education
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Kosmas Vlachos – Online Learning, 2025
The research paper explores the impact of assignments on enhancing educational technology awareness among postgraduate trainee English language teachers at the Hellenic Open University. The study focused on participants in the teaching of English as a foreign language (EFL) program, specifically those engaging in the 13-week training module…
Descriptors: Writing Assignments, Educational Technology, Graduate Students, English (Second Language)
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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
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Chalermsup Karanjakwut; Kamonwan Charunsri – Malaysian Online Journal of Educational Technology, 2025
This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…
Descriptors: Writing Instruction, Teaching Methods, Writing Processes, Process Approach (Writing)
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence