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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
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
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
Yining Zhao; Yavor Bozhkov; Xiaolei Chen; Katharina Fuchs; Michael Buchfelder; Lars Fester; Daniela Souza de Oliveira; Alessandro Del Vecchio; Thomas Kinfe – Educational Technology Research and Development, 2025
To date, neuroanatomy education courses are still based on two-dimensional (2D) illustrations combined with cadaver dissections. To gain a more comprehensive understanding of neuroanatomy, we offered mixed reality experience using a head-mounted device (HMD) for medical students during their neuroanatomy course. This pilot study´s purpose was to…
Descriptors: Anatomy, Medical Education, Computer Simulation, Computer Uses in Education
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
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
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
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
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
Ricardo G. Altahif Jr.; Kirsten Davin; Yue Ma; Celina Casas – Journal of Occupational Therapy Education, 2025
This study explores the development and implementation of a custom-designed simulated Electronic Medical Record (sEMR) system integrated into a simulation-based Level I occupational therapy fieldwork experience. The sEMR was collaboratively developed by the Occupational Therapy Department and the University Learning Design Team to provide…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Simulation, Records (Forms)
Jyoti Shaha; Vishwas Badhe; Ramkumar Rajendran – International Association for Development of the Information Society, 2024
Metacognitive strategies play a crucial role in Computer-Based Learning Environments (CBLEs). However, students often struggle to apply these strategies spontaneously during learning. Research demonstrates that metacognitive prompts can effectively guide students' awareness and help them monitor their learning progress, leading to improved…
Descriptors: Metacognition, Electronic Equipment, Problem Solving, Computer Uses in Education
Javier Vásquez-Monteros; Yasmany García-Ramírez – International Society for Technology, Education, and Science, 2024
This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Integration
Nik Anis Qistina Nik Najhannor; Norsyahida Mohd Fauzi; Bazilah A. Talip; Mohd Ariff Majmi Zaaba; Adliah Mhd Ali; Nurul Ain Mohd Tahir; Nor Syafinaz Yaakob – Biochemistry and Molecular Biology Education, 2025
In modern education, mobile applications offer flexibility for learning anytime and anywhere, yet biochemistry lacks mobile-based virtual laboratories. This study aimed to develop a 2D Mobile-Based Virtual Laboratory Simulation (2D-MViLS) for blood glucose level measurement and evaluate its impact on pharmacy students' learning experience. In…
Descriptors: Computer Simulation, Computer Uses in Education, Science Laboratories, Biomedicine
Sreya Mallipeddi; Cheryl L. Dickter; Joshua A. Burk – Journal of Autism and Developmental Disorders, 2025
Purpose: Research has demonstrated that neurotypical college students view their autistic peers more negatively than their neurotypical peers and endorse stereotypes related to autism. One way to improve attitudes towards autistic individuals is to induce vicarious intergroup contact through the media in which seeing the lived experiences of an…
Descriptors: College Students, Autism Spectrum Disorders, Student Attitudes, Labeling (of Persons)
Wuyou Sui; Anna Sui; Joseph Munn; Jennifer D. Irwin – Journal of American College Health, 2024
Background: This study aimed to: (a) explore differences in the prevalence of nomophobia and smartphone addiction (SA) from pre- to during COVID-19; (b) identify students' self-reported changes in smartphone reliance and screen time during COVID-19; and (c) examine whether self-perceived changes in smartphone usage predicted nomophobia and SA…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Addictive Behavior