Mobile cloud computing: An effective multimodal interface tool for students with dyslexia

Alghabban, Weam Gaoud; Salama, Reda; Altalhi, Abdulrahman H.

doi:10.1016/j.chb.2017.05.014

Cited by 51 publications

(38 citation statements)

References 13 publications

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“…For the time being, the number of applications that is specially developed for dyslexic children is limited. Alghabban et al (2017) proposed a customized mobile learning application using cloud computing technology to meet the needs of the children with dyslexia. The study shows that their learning capabilities has enhanced by using the mobile application.…”

Section: Introductionmentioning

confidence: 99%

An Enhancement of Dyslexic Mobile Application using Sight Word Reading Strategy: Results and Findings

Borhan¹,

Shiang²,

Chiu³

et al. 2018

Journal of Computer Science

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Section: Introductionmentioning

confidence: 99%

An Enhancement of Dyslexic Mobile Application using Sight Word Reading Strategy: Results and Findings

Borhan¹,

Shiang²,

Chiu³

et al. 2018

Journal of Computer Science

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“…It is recommended that further research should be undertaken for query optimization in the environments such as social networks, 97 mobile cloud computing, 98 and wireless sensor network. 99,100…”

Section: Open Issuesmentioning

confidence: 99%

Deterministic and non‐deterministic query optimization techniques in the cloud computing

Azhir

Navimipour

Hosseinzadeh

et al. 2019

Concurrency and Computation

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Query optimization is considered as one of the main challenges of query processing phases in the cloud environments. The query optimizer attempts to provide the most optimal execution plan by considering the possible query plans. Therefore, the execution cost of a query can be affected by some factors, including communication costs, unavailability of resources, and access to large distributed data sets. In addition, it is known as NP-hard problem and many researchers are focused on this problem in recent years. Some techniques are proposed for solving this problem. Deterministic and non-deterministic methods are two main categories to study these techniques. The deterministic and non-deterministic query optimization methods can be further divided into three subcategories, cost-based query plan enumeration, multiple query optimization, and adaptive query optimization methods. Moreover, this paper presents the advantages and disadvantages of the algorithms for solving the query optimization problems in the cloud environments. Moreover, these techniques are compared in terms of optimization, time, cost, efficiency, and scalability. Finally, some key areas are offered to improve the cloud query optimization mechanisms in the future. KEYWORDScloud computing, database, query optimization, review INTRODUCTIONThe data transfer operation and resource sharing are facilitated by rapid progress of the distributed IT-based systems. 1,2 Cloud computing supports several computers through a network. 3 The cloud computing has a large-scale distributed architecture and virtualized services to deliver the requests to users. 4,5 Moreover, the cloud computing provides important financial advantages and long level cooperation possibilities for organizations and institutions. 6 The cloud computing is defined as a distributed IT-based technology based on service business model. 7This paradigm provides many benefits for users, such as the provision of computing capabilities, heterogeneous network access, scalability, and elasticity with measured services. 8,9 The cloud computing gives shared access to a large pool of resources, including data storage, memory, processing, and virtual machines. 10 A cloud client, such as a web browser and mobile app can be helpful in accessing these services. 11 Enormous amounts of data are retrieved from geo-distributed data sources and cross-layer data-handling requirements to make a change in business model. 12 The cloud storage as one of the main services is provided by cloud computing, 13 which allows the users to store their data in virtual pools instead of their servers. 14 In addition, subscribers can access the data from any area of cloud. 15 Therefore, the reliability and availability are necessary to recover the information and query processing.The query processing involves three main steps, as shown in Figure 1. First, the query is translated into an expression of the relational algebra.Second, an optimal evaluation plan for the query plan is generated. The query optimization is the main part o...

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“…The application of mobile learning technology is not only for ordinary students, but Mlearning is also applied to students who have dyslexic disorders. By adjusting multimodal functionality, Mlearning can improve the learning abilities of students with dyslexia by almost 30% in learning activities [3]. Tablets, PDAs and smartphones have become a part of human life, this equipment helps human activities, especially in the field of education.…”

Section: Introductionmentioning

confidence: 99%

“…Research on mobile cloud computing among others was conducted by Dhanalakshmi who discussed several advantages of using mobile cloud computing compared to traditional mobile learning [9]. In addition, research on the use of mobile cloud computing is also conducted on students who have dyslexia [3], They build interactive multimodal interfaces to facilitate dyslexia students in learning. In addition to the world of education, Mobile cloud learning is also applied in the world of health.…”

Section: Introductionmentioning

confidence: 99%

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Nugroho¹,

Murdowo²,

Ahmadi³

et al. 2020

IJACSA

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Mobile learning has been used in the learning process in several tertiary institutions in Indonesia. However, several universities have not been able to implement mobile learning due to the limitations of computer and network infrastructure. Cloud computing is a solution for agencies that experience limitations in computer infrastructure in the form of internet-based services for their customers. This paper discusses the implementation of mobile cloud learning which is a combination of mobile learning technology and cloud computing using the renewal DeLone and McLean Model which is a successful model to measure how important the implementation of a mobile cloud learning system is. The results showed that from the F test results obtained Fcount of 13,222, then Fcount> Ftable (13,222> 3.01), then Ho was rejected and H1 was accepted. So it can be concluded Information Quality, System Quality, and Service Quality together affect the Intensity of Use.

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Mobile cloud computing: An effective multimodal interface tool for students with dyslexia

Cited by 51 publications

References 13 publications

An Enhancement of Dyslexic Mobile Application using Sight Word Reading Strategy: Results and Findings

An Enhancement of Dyslexic Mobile Application using Sight Word Reading Strategy: Results and Findings

Deterministic and non‐deterministic query optimization techniques in the cloud computing

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

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