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Marta Modrego-Alarcón; Héctor Morillo; Daniel Campos; María Teresa Navarro-Gil; Jesús Montero-Marín; Alicia Monreal-Bartolomé; Javier García-Campayo; Yolanda López-Del-Hoyo – Journal of Computing in Higher Education, 2025
Mindfulness practices have proven to be effective for improving the mental health of many populations, including university students. However, these practices can be challenging for naive meditators. Virtual reality (VR) can create virtual scenarios that facilitate the practice of mindfulness. This study presents secondary data from a randomized…
Descriptors: Computer Simulation, Metacognition, Technology Uses in Education, Universities
Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
Taha Oruç; Özgen Korkmaz; Murat Kurt – International Journal of Technology in Education and Science, 2024
The aim of this study is to examine primary school students' views on artificial intelligence. Phenomenology design, one of the qualitative research methods, was used in the study. The study was conducted with 25 fourth grade students. The participants of the study were determined using the criterion sampling method, one of the purposeful sampling…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Student Attitudes
Ce Song – European Journal of Education, 2025
This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Music Education
Richard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
Herminio Bodon; Vishesh Kumar; Marcelo Worsley – ACM Transactions on Computing Education, 2025
Objectives: Athletics and sports represent a focal part of adolescence for millions of youth around the world. However, opportunities to engage in computer science (CS) learning experiences are less prevalent, particularly among Hispanic and low-income communities. Recently, researchers have explored ways to bridge these, seemingly, disparate…
Descriptors: Design, Computer Science Education, Physical Education, Athletics
Hodge, David R.; Gebler-Wolfe, Molly M. – Children & Schools, 2022
Most adolescents have mobile devices (e.g., smartphones) and daily access to the internet. Scholars, however, have only recently begun to consider the impact of this technology on youth. This article draws on attachment theory to explain how adolescents' attachment styles may be represented in their attachment to technology. The authors posit that…
Descriptors: Attachment Behavior, Adolescents, Handheld Devices, Internet
Sivo, Stephen Anthony; Ku, Cheng-Hsin; Acharya, Parul – Australasian Journal of Educational Technology, 2018
The purpose of this empirical research was to use the perceived resources and technology acceptance model (PRATAM; Ku, 2009) to observe and measure students' beliefs on using the WebCT online learning system (OLS) in two WebCT courses offered at a large university in the south-eastern United States. PRATAM was replicated from previous research to…
Descriptors: College Students, Student Attitudes, Electronic Learning, Online Courses
Tondeur, Jo; Scherer, Ronny; Siddiq, Fazilat; Baran, Evrim – Australasian Journal of Educational Technology, 2017
This study aims to identify profiles of pre-service teachers in order to explore their readiness to integrate technology in education. The assumption is that pre-service teacher characteristics such as technological pedagogical content knowledge (TPACK), go together with the influence of their teacher training. Specifically, this study examines…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Information Technology, Preservice Teachers
Onder, Recep; Aydin, Halil – Journal on School Educational Technology, 2016
The objective of this study is to reveal the effect of the use of smart board in the biology class at the tenth grade of the secondary education on the academic achievements of students. The study used the quasi-experimental model with pre-test and post-test control groups and semi-structured interviews were made with the students. The study group…
Descriptors: Biology, Secondary School Science, High School Students, Science Achievement
Zhang, Jie; Russo, Theresa J.; Fallon, Moira A. – International Journal of Technology in Teaching and Learning, 2015
As a part of a larger study, the purpose of this exploratory study was to assess college students' stress levels of using technology. Forty-four males (11.3%) and 345 females (88.5%) participated in the study by filling out an online survey voluntarily and anonymously. This was an exploratory survey of college students' feelings about technology,…
Descriptors: College Students, Stress Variables, Technology Uses in Education, Influence of Technology
Bakkabulindi, F. E. K.; Mugagga, A. M.; Shopi, J. M.; Kabasiita, J. – African Higher Education Review, 2015
This survey sought to establish how performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) related to the use of ICT by undergraduate students in the School of Education at Makerere University. Descriptive analysis was done using percentages and means, while hypotheses were tested using Multiple…
Descriptors: Foreign Countries, Undergraduate Students, Technology Uses in Education, Schools of Education
Tuncer, Murat; Dogan, Yunus; Tanas, Ramazan – Turkish Online Journal of Educational Technology - TOJET, 2013
With the advent of the computer technologies, we are increasingly encountering these technologies in every field of life. The fact that the computer technology is so much interwoven with the daily life makes it necessary to investigate certain psychological attitudes of those working with computers towards computers. As this study is limited to…
Descriptors: Investigations, High School Students, Vocational High Schools, Anxiety
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