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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Hong, Jon-Chao; Tai, Kai-Hsin; Luo, Wan-Lun; Sher, Yung-Ji; Kao, Yi-Wen – Journal of Computer Assisted Learning, 2022
Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then…
Descriptors: Comparative Analysis, Computer Games, Computer Software, Telecommunications
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Nikou, S. A.; Economides, A. A. – Journal of Computer Assisted Learning, 2018
Mobile-based micro-learning has gained a lot of attention lately, especially for work-based and corporate training. It combines features of mobile learning and micro-learning to deliver small learning units and short-term learning activities. The current study uses the lens of the Self-Determination Theory of motivation and proposes a series of…
Descriptors: High School Students, Learning Motivation, Personal Autonomy, Psychological Needs
Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
Furió, D.; Juan, M.-C.; Seguí, I.; Vivó, R. – Journal of Computer Assisted Learning, 2015
Different methods can be used for learning, and they can be compared in several aspects, especially those related to learning outcomes. In this paper, we present a study in order to compare the learning effectiveness and satisfaction of children using an iPhone game for learning the water cycle vs. the traditional classroom lesson. The iPhone game…
Descriptors: Telecommunications, Technology Uses in Education, Teaching Methods, Handheld Devices
Bernicot, J.; Goumi, A.; Bert-Erboul, A.; Volckaert-Legrier, O. – Journal of Computer Assisted Learning, 2014
The link between students' spelling level and their text-messaging practice gives rise to numerous questions from teachers, parents and the media. A corpus of 4524 text messages produced in daily-life situations by students in sixth and seventh grade (n?=?19, 11-12 years of age) was compiled. None of the participants had ever owned or used a…
Descriptors: Telecommunications, Handheld Devices, Computer Mediated Communication, Grade 6
Thornton, Patricia; Houser, Chris – Journal of Computer Assisted Learning, 2005
We present three studies in mobile learning. First, we polled 333 Japanese university students regarding their use of mobile devices. One hundred percent reported owning a mobile phone. Ninety-nine percent send e-mail on their mobile phones, exchanging some 200 e-mail messages each week. Sixty-six percent e-mail peers about classes; 44% e-mail for…
Descriptors: Vocabulary, Teaching Methods, Intervals, Telecommunications