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Showing 1 to 15 of 1,318 results Save | Export
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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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Karahan, Muhammed Baran; Kaya, Oktay – African Educational Research Journal, 2023
This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…
Descriptors: Student Attitudes, College Students, Socioeconomic Status, Physical Education
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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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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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Ahmet Berk Ustun; Fatma Gizem Karaoglan-Yilmaz; Ramazan Yilmaz; Mehmet Ceylan; Orhan Uzun – Education and Information Technologies, 2024
The primary aim of the study is to develop an augmented reality (AR) acceptance scale within the framework of the unified theory of acceptance and use of technology (UTAUT) model to measure individuals' acceptance and use of AR technology. The study was performed with a total of 546 university students with three participant groups in the…
Descriptors: Test Construction, Computer Simulation, College Students, Test Reliability
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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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Gilber Chura-Quispe; Yesica Sofia Nicole Román Bullon; Edwin Gustavo Estrada-Araoz; José Ricardo Pujaico-Espino; Dony Edwin Mamani-Velasquez – Educational Process: International Journal, 2025
Background/purpose: The increasing use of technology in people's daily lives has given rise to novel social phenomena such as "phubbing," the act of ignoring someone in a physical environment to attend to a mobile phone. This behavior has sparked interest in the academic field, where social interaction is fundamental for the emotional…
Descriptors: Computer Use, Telecommunications, Handheld Devices, Psychological Patterns
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Sylvester Donkoh; Juliana Ivy Araba Ekuban; Robert Mensah – Journal of Education and Learning, 2023
The study focused on the relationship between social media usage and test anxiety. It investigated how specific uses of social media are associated with test anxiety. The study classified the uses of social media into four dimensions and explored the relationship between each of the four dimensions and test anxiety. The study also explored the…
Descriptors: Social Media, Computer Use, Test Anxiety, College Students
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Gelin Huang; Zhang Linmin; Li Sun – Education and Information Technologies, 2025
The pandemic caused by COVID-19 has sped up the use of digital platforms in educational settings, with TikTok playing a vital role in promoting learning and engagement. This study investigates the role of TikTok in shaping users' psychological well-being and educational outcomes during this period of disruption. Data collection involved a…
Descriptors: COVID-19, Pandemics, Social Media, Mental Health
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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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Burcu Karafil; Ahmet Uyar – Journal of Educational Technology and Online Learning, 2023
This study explores the relationship between digital addiction and online learning readiness levels of the university students. For this, the predictive correlation research model was used. The sample of the study consisted of 856 university students studying at three different universities in Türkiye. The "Digital Addiction Scale" and…
Descriptors: Addictive Behavior, Computer Use, Foreign Countries, Online Courses
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Aleksandra Kobicheva; Elena Tokareva; Tatiana Baranova – European Journal of Psychology of Education, 2025
Phubbing is not only a consequence of technological advancements but also represents an entirely novel aspect of social conduct, impacting students' academic performance and the sustainability of development. The purpose of the study is to identify the relationship between students' level of phubbing, academic engagement and academic performance…
Descriptors: Student Behavior, Learner Engagement, Computer Use, College Students
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Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
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