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Oriane Pierrès; Alireza Darvishy; Markus Christen – Education and Information Technologies, 2025
The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Students with Disabilities
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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Lily Lucas Hodges – History Teacher, 2025
A standard learning outcome for students in humanities courses, from middle school into higher education, is to craft clear, specific arguments based on evidence. A common assignment to develop and assess this learning outcome is the take-home essay. Generative AI models, such as ChatGPT, Copilot, and Grammarly, are quickly able to generate such…
Descriptors: Artificial Intelligence, Essays, Computer Uses in Education, History Instruction
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Negin Mirriahi; Rebecca Marrone; Abhinava Barthakur; Florence Gabriel; Jill Colton; Ting Nga Yeung; Peter Arthur; Vitomir Kovanovic – Australasian Journal of Educational Technology, 2025
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by…
Descriptors: Artificial Intelligence, College Students, Adoption (Ideas), Computer Uses in Education
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Sinan Aydin – Turkish Online Journal of Distance Education, 2025
Open education systems play a significant role in providing flexible and accessible learning opportunities to large student populations, independent of time and location. These systems achieve cost efficiency through the effective implementation of economies of scale, reducing unit costs as student numbers increase. However, decision-making in the…
Descriptors: Testing, Planning, Heuristics, Algorithms
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Bin Hu; Kairong Li; Yingyi Zhang – SAGE Open, 2025
With the rapid development of information technology, telecommunication network fraud poses a serious threat to college students. Urgent action is needed to enhance their awareness of fraud prevention through effective educational methods. This study constructed a behavioral willingness model to use an anti-fraud educational game among university…
Descriptors: Deception, Telecommunications, College Students, Gamification
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Thomas Corbin; Phillip Dawson; Danny Liu – Assessment & Evaluation in Higher Education, 2025
Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the 'traffic light' approach now…
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Change
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Sarah Burriss; Blaine Smith; Amanda Yoshiko Shimizu; Melanie Hundley; Emily Pendergrass; Ole Molvig – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
Generative artificial intelligence (AI) models are increasingly able to produce and combine sophisticated text, image, and audio. These advancements are challenging composers and teachers, as they work to reimagine and resist ways that composition and creative work are changing. This paper reports on one analysis in a larger study on multimodal…
Descriptors: Ethics, Artificial Intelligence, Writing (Composition), Computer Uses in Education
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Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
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Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
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Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
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Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – Journal of Computing in Higher Education, 2025
Task complexity emerges as one of the factors affecting the computer-supported collaborative learning (CSCL) process, group dynamics, and processes. Upon reviewing the literature, it becomes apparent that there are conflicting results regarding the impact of escalating task complexity on group dynamics and collaboration processes. The lack of…
Descriptors: Cooperative Learning, Computer Uses in Education, Difficulty Level, Group Dynamics
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Nurul Aini; Yazid Basthomi; Nunung Suryati; Iwan Kurniarahman – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
This study was directed toward ascertaining students' perceived usefulness of integrating TED Talks for the cognitive and affective aspects of learning English as a foreign language. Employing a quantitative research design with a survey questionnaire, data were collected using the framework of the Technology Acceptance Model (TAM) which measured…
Descriptors: Foreign Countries, English (Second Language), College Students, Second Language Learning
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Ludovica Mastrobattista; María Muñoz-Rico; José Antonio Cordón-García – Journal of Technology and Science Education, 2024
The main objective of this article is to highlight the importance of training in digital tools at the university level to foster the development of innovative and efficient data analysis from a scientific perspective. In an increasingly digitised world, the acquisition of digital skills has become a fundamental requirement for success in various…
Descriptors: Digital Literacy, Data Analysis, Computer Software, Computer Uses in Education
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Salomé Cojean; Manon Grand – British Journal of Educational Psychology, 2024
Background: Taking notes during learning has benefits both during class (through writing things down to encode information) and after class (by using written notes as external storage for revision). Comparisons of note-taking methods (i.e., using paper or a computer) have mainly shown that paper leads to better learning. However, previous studies…
Descriptors: Notetaking, College Students, Preferences, Writing Strategies
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