Guideme: An Optimized Mobile Learning Model Based on Cloud Offloading Computation

Elstohy, Rasha; Karam, Wael; Radwan, Nouran M.; Monir, Eman

doi:10.1007/978-981-15-4409-5_74

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud computing is the most convenient infrastructure for the implementation of mobile learning technologies as it allows dynamic scalability at a reduced cost. Elstohy et al (2021) proposed an effective mobile learning model using cloud computing resources. The implementation of the mobile learning system consists of learning object offloading facilities on an android based platform.…”

Section: System Infrastructurementioning

confidence: 99%

Personalized and Adaptive Context-Aware Mobile Learning: Review, challenges and future directions

Gumbheer

Khedo

Bungaleea³

2022

Educ Inf Technol

View full text Add to dashboard Cite

Due to the outbreak of COVID 19, digital learning has become the most efficient learning and teaching technique adopted across the world. The pervasiveness of Personalized and Adaptive Context-Aware Mobile Learning (PACAML) technologies is improving the academic performances of learners by providing an efficient learning platform that supports social interactivity, context sensitivity, connectivity, and individuality in a ubiquitous manner. Several studies have demonstrated the efficacy of PACAML in a modern and innovative educational environment. Based on the recent studies and development of mobile learning technologies, there is clearly a gap in the research that provides a comprehensive body of knowledge on PACAML. In this paper, a review has been conducted on the existing PACAML, analyzing the recent research and development progress using Kitchenham et al. (2009) for systematic reviews. The review was conducted on 25 papers which were selected using the PRISMA technique to put forward the quality criteria that are based on the research aims, objectives and knowledge relevant to the study of PACAML. The results identified the contextual information used in the PACAML studies, the infrastructural requirements of PACAML, the application of PACAML in functional educational settings and the major methodological approaches applied in the studies of PACAML. Finally, the paper presents challenges and future directions that will be of interest to researchers in the educational technologies in the context of PACAML.

show abstract

Section: System Infrastructurementioning

confidence: 99%