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Direct linkWang, Cixiao; Le, Huixiao – Journal of Educational Computing Research, 2022
In collaborative learning, the intuition "the more device, the merrier" is somehow widely acknowledged, but little research has investigated the relationship between device-student ratio and the learning outcome. This study aims to investigate not only the main effect of different device-student ratio, also to identify the moderators in…
Descriptors: Cooperative Learning, Access to Computers, Technology Uses in Education, Educational Technology
Zumbach, Joerg; von Kotzebue, Lena; Pirklbauer, Constanze – Journal of Educational Computing Research, 2022
Augmented Reality (AR) has become an emerging educational technology in classroom practice and science education. While most research and contemporary meta-analyses reveal benefits with regard to knowledge acquisition and motivation of Augmented Reality-based learning environments, most of the studies lack a clear and fair control condition. In…
Descriptors: Computer Simulation, Educational Technology, Science Education, Educational Environment
Aharony, Noa; Zion, Avi – Journal of Educational Computing Research, 2019
The current study seeks to shed light on the usage habits of the "WhatsApp" application among teenagers, exploring the effect of mobile instant messaging distractions on pupils' working memory performance. Research was conducted in Israel during 2016 school year. The study sample was divided into two groups randomly--a control group and…
Descriptors: Social Media, Computer Mediated Communication, Short Term Memory, Adolescents
Raza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences
Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology
