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Lin, Xiao-Fan; Deng, Cailing; Hu, Qintai; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2019
Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial…
Descriptors: Undergraduate Students, Student Attitudes, Telecommunications, Handheld Devices
Wang, Hong-You; Lin, Vivien; Hwang, Gwo-Jen; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2019
To assess the effects and learner perceptions of context-aware ubiquitous language learning (CAULL), a green-building English-learning application (GBELA) employing sensing technology was created to develop participants' English listening and reading skills using smartphones and QR codes. This study investigated the effects of 40 participants'…
Descriptors: Reading Skills, Listening Skills, English (Second Language), Second Language Learning
Herodotou, C. – Journal of Computer Assisted Learning, 2018
Mobile applications are popular among young children, yet there is a dearth of studies examining their impact on learning and development. A systematic review identified 19 studies reporting learning effects on children 2 to 5 years old. The number of children participating in experimental, quasi-experimental, or mixed-method studies was 862 and…
Descriptors: Young Children, Handheld Devices, Technology Uses in Education, Educational Research
Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Tanimoto, S.; Thompson, R.; Berninger, V. W.; Nagy, W.; Abbott, R. D. – Journal of Computer Assisted Learning, 2015
Computer scientists and educational researchers evaluated effectiveness of computerized instruction tailored to evidence-based impairments in specific learning disabilities (SLDs) in students in grades 4-9 with persisting SLDs despite prior extra help. Following comprehensive, evidence-based differential diagnosis for dysgraphia (impaired…
Descriptors: Grade 4, Grade 5, Grade 6, Grade 8
Hong, J.-C.; Hwang, M.-Y.; Chang, H.-W.; Tai, K.-H.; Kuo, Y.-C.; Tsai, Y.-H. – Journal of Computer Assisted Learning, 2015
To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Su, C-H.; Cheng, C-H. – Journal of Computer Assisted Learning, 2015
This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…
Descriptors: Teaching Methods, Science Instruction, Science Achievement, Student Motivation
Barth, Ingrid; Spector-Cohen, Elana; Sitman, Rosalie; Jiang, Guhuai; Liu, Fang; Xu, Yan – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Although open educational resources (OERs) can help bridge high school-university vocabulary gaps, central questions remain unanswered regarding effective design that enables students to go beyond the "small chunks" that typically characterize vocabulary learning in mobile learning environments (MLEs). This bi-national study adopted a…
Descriptors: Telecommunications, Handheld Devices, Vocabulary Development, Independent Study