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Khalid Mohiuddin; Huda Fatima; Mohiuddin Ali Khan; Mohammad Abdul Khaleel; Zeenat Begum; Sajid Ali Khan; Omer Bin Hussain – SAGE Open, 2023
This article aims to design a novel edge-centric hierarchical cloud architecture to optimize mobile learning (m-learning) performance during learners executing computation-intensive learning applications. This research adopts the potential of distributed computing paradigms, that is, mobile edge, for improving the effectiveness of m-learning…
Descriptors: Computer Networks, Electronic Learning, College Students, Handheld Devices
Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using M-Learning
Jorge Rodríguez-Arce; Esteban Vázquez-Cano; Juan Pablo Cobá Juárez-Pegueros; Salvador González-García – SAGE Open, 2023
Previous works reveal that there is potential in the use of mobile devices as a useful tool to help learn new vocabulary and it allows the learning materials can be displayed with different Learning Content Representation (LCR) types. Nevertheless, there are no conclusive results about which LCR type is better to improve L2 vocabulary acquisition…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Vocabulary Development
Zhang Yangzi; Kenny S. L. Cheah; Mohd Shahril Nizam Bin Shaharom – SAGE Open, 2023
The advent of social media platforms has brought about a paradigm shift in the dissemination of information, consequently giving rise to a new breed of individuals known as Social Media Influencers (SMIs). These SMIs have exerted a substantial influence on individuals and society as a whole. Within the domain of fitness education and training, the…
Descriptors: Electronic Learning, Leadership, Social Media, Foreign Countries
Barham, Kefah A.; Clarke, Rachel – SAGE Open, 2022
Mobile technologies have been shown to be potential aids in improving language learning a long with computer technology, The purpose of this study was to examine students' perceptions of their socio-affective learning practices when utilizing dictionary applications on their mobile phones. Twenty-five undergraduates were chosen at random from a…
Descriptors: Foreign Countries, Dictionaries, Computer Oriented Programs, Handheld Devices
Razzaque, Anjum – SAGE Open, 2020
The education sector is transforming from e-learning to m-learning due to its motivation capabilities that drive students toward self-motivated learning. However, this requires online participation through quality knowledge sharing (KS) of the social capital (SC) of resources. Past-reported low student participation calls for confirming whether…
Descriptors: Electronic Learning, Handheld Devices, Social Capital, Student Motivation
Liman Kaban, Aysegül; Karadeniz, Sirin – SAGE Open, 2021
The young generation, born into digital technologies and called Millennials or the Y-Generation, are raised in a world where everybody has a computer in their pockets (Hamari et al., 2014), and they are constantly engaged in digital activities. However, research on the impact of digital devices on learners' educational performance and motivation…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, Reading Comprehension
Khan, Md. Shahadat Hossain; Abdou, Benadjih Oiriddine; Kettunen, Jaana; Gregory, Sue – SAGE Open, 2019
This article aims to identify different ways of using mobile devices in students' learning in higher education. This qualitative research presents the findings from a phenomenographic research of students' conceptions of mobile learning (m-learning) in higher education. A cohort of 16 students from four universities of Bangladesh took part in…
Descriptors: Foreign Countries, College Students, Student Attitudes, Electronic Learning