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Direct linkMarta 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
Chahal, Jyoti; Rani, Neha – Journal of Computing in Higher Education, 2022
The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-learning in higher education depends on students'…
Descriptors: Foreign Countries, Electronic Learning, COVID-19, Pandemics
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Journal of Computing in Higher Education, 2018
It is widely recognized and accepted that behavioral intention is the key direct determinant of technology use and the majority of research continues to promote this practice. Yet the influence of behavioral intention (i.e., an individual's conscious plan to use a technology) has been called into question more recently, as behavioral intention…
Descriptors: Computer Attitudes, Intention, Technology Uses in Education, Electronic Learning
Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
García Botero, Gustavo; Questier, Frederik; Cincinnato, Sebastiano; He, Tao; Zhu, Chang – Journal of Computing in Higher Education, 2018
Research on mobile learning indicates that students perceive mobile devices mainly as communication and entertainment tools. Therefore, a key factor in successful mobile learning implementation is the initial measurement of students' acceptance of those devices into their learning. Countless language applications available suggest that mobile…
Descriptors: College Students, Electronic Learning, Computer Attitudes, Computer Assisted Instruction
Teo, Timothy; Zhou, Mingming – Journal of Computing in Higher Education, 2014
The aim of this study is to examine the factors that an influence higher education students' intention to use technology. Using an extended technology acceptance model as a research framework, a sample of 314 university students were surveyed on their responses to seven constructs hypothesized to explain their intention to use technology.…
Descriptors: Structural Equation Models, Intention, College Students, Computer Attitudes
