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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
Yalalem Assefa; Melaku Mengistu Gebremeskel; Bekalu Tadesse Moges; Shouket Ahmad Tilwani; Yibeltal Aemiro Azmera – International Journal of Information and Learning Technology, 2025
Purpose: In today's educational landscape, technology has become an undeniable force in shaping pedagogical approaches and even the definition of learning itself. But this path contains many obstacles. Within the higher education ecosystem, the digital divide -- the disparity in access and use of technology -- is proving to be a significant…
Descriptors: Equal Education, Cultural Context, Higher Education, Developing Nations
Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
Schaffhauser, Dian – T.H.E. Journal, 2011
Setting up a wireless network is easy enough. Place a few access points in strategic areas, then watch the network traffic fly! That approach may hold up reasonably well for a few dozen users, but there's no way it would support a schoolwide 1-to-1 program. Once students take to it with their wireless devices, "they're going to kill it,"…
Descriptors: Computer Networks, Telecommunications, Reliability, Handheld Devices
Li, Qing; Zhao, Jianmin; Zhu, Xinzhong – International Journal of Distance Education Technologies, 2009
Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…
Descriptors: Electronic Learning, Research Problems, Statistical Data, Statistical Inference
Wu, Tin-Yu; Chao, Han-Chieh – International Journal of Distance Education Technologies, 2008
This article develops an environment for mobile e-learning that includes an interactive course, virtual online labs, an interactive online test, and lab-exercise training platform on the fourth generation mobile communication system. The Next Generation Learning Environment (NeGL) promotes the term "knowledge economy." Inter-networking…
Descriptors: Electronic Learning, Educational Environment, Multimedia Materials, Computer Networks
Jarvela, Sanna; Naykki, Piia; Laru, Jari; Luokkanen, Tiina – Educational Technology & Society, 2007
In our recent research we have explored possibilities to scaffold collaborative learning in higher education with wireless networks and mobile tools. The pedagogical ideas are grounded on concepts of collaborative learning, including the socially shared origin of cognition, as well as self-regulated learning theory. This paper presents our three…
Descriptors: Learning Theories, Higher Education, Cooperation, Telecommunications