Evaluating Cloud Computing's Role in Dyslexic Students' Education

The research delves into the role of cloud computing in revolutionizing education for dyslexic patients. It highlights various frameworks and systems designed to aid these students, including advancements in biomedical instruments, multi-robot systems, and mobile technology enhancements. The paper emphasizes how cloud features like powerful processing capabilities, data security, and privacy can assist dyslexic individuals by simplifying reading and writing tasks through adaptive learning platforms. By centralizing healthcare records and creating attractive user interfaces, cloud computing not only eases the communication between students and educators but also reduces frustration associated with traditional learning methods. Ultimately, this comprehensive analysis showcases how technological innovations in cloud computing provide substantial support to dyslexic learners, facilitating a more inclusive educational environment.

Running head: MOBILE CLOUD COMPUTING
MOBILE CLOUD COMPUTING
Name of the student
Name of the university
Author note

Project background
This project is based upon the application of cloud computing for helping the dyslexic
patients. Dyslexic patients have mainly the issues related to the reading and writing of several
characters and the drawing. Cloud computing provides with many features like powerful
processing unit, security and the privacy of the data which are being used by the users. These
features are used in order to help the dyslexic patients by assisting them to help with the
introduction with several drawings and characters. The patients face a lot of problems as telling
their issues to the doctors several times and thus the students may be got irritated. To resolve this
problem the students are provided with several features that can help them by creating a
centralised system of healthcare. Another important thing is to design an interface which is
simple as well as attractive enough for the students.
Project Scope
The aim of this project is to analyze the role f cloud computing in the help of the dyslexic
patients. This can be utilised in future as the medium of learning to the dyslexic patients.
Dyslexic patients can overcome their problem with more familiarization with new technology.
Evaluation
In this report several references are included in order to discuss the impact of cloud
computing for helping the dyslexic students. In this section the evaluation from the references is
discussed. In the first reference the idea related to the application of cloud computing is
discussed for medical applications. This concept can be used for the advancement of several

biomedical instruments. In the second reference the concept related to the application of mobile
data is discussed for the diagnosis of the Dyslexic patients. This will create several new features
which can be really helpful for the dyslexic patients. In the third reference the concept related to
the social network framework for deaf and blind patients is discussed. This concept can be used
in the advancement of the framework for the help of the handicapped individuals. In the fourth
reference the concept related to the design of a home multi robot system is discussed to assist the
elderly and disabled persons. In the fifth reference the idea of a cyber-physical localization
framework is discussed for patients monitoring. This system can be implemented for the disabled
learners and it can save the amount of cost a larger extent. In the sixth reference the concept
related to the cloud computing security by using mobile otp and an encryption algorithm for
hospital management is discussed. This concept is discussed in order to make a record of the
patients. In the seventh reference the concept related to the authentication in mobile cloud
computing based on a survey is discussed. In the next reference this is designed in order to
increase the role of cloud for the dyslexic patients. In the eighth reference the concept related to
the sensory data processing framework to integrate sensor networks with mobile cloud is
discussed. This is done in order to design the dta processing framework for the mobile cloud. In
the ninth reference the idea related to the mobile cloud-based big healthcare data processing in
smart cities is discussed. This is used to develop a healthcare system for the smart cities. In the
tenth reference the concept related to the development of the real-time home healthcare tele
monitoring is discussed. This is used in the monitoring of the patients with help of
the real time based monitoring system and mobile cloud computing. In the
eleventh reference the concept related to the Smart Phones Monitoring
system is discussed. This is used to develop the cloudlet based mobile cloud

computing system for the treatment of the patients using healthcare
applications. In the twelfth reference the concept related to the use of the
ICT in supporting dyslexic students’ preferred learning styles is discussed.
This is discussed in order to develop a different learning approach for the
learners to develop adaptive learning technique for the dyslexic students. In
the thirteenth reference mobile cloud computing and m-learning: state of art
is discussed. It is used with the massive increment in the mobile technology
the role of mobile application is increasing rapidly in the education system
for both the normal and disables students. In the fourteenth reference the
concept related to the tablet use in primary education is discussed. This
concept is used to research paper is to identify certain primary aspects of
traditional education system for the disable students. In the fifteenth
reference the concept related to a Review of Learning Courseware for Children with
Learning Disabilities in Malaysia is discussed. This concept is mainly used for the Children
who are suffering from the Dyslexia are not normal and will not be able to
adopt the usual learning approach. In the sixteenth reference concept
related to the cross-platform dyslexia screening test for Malaysian children
through hybrid applications is discussed. This is used mainly for the
identification of the cloud based solution for dyslexia students of Malaysia.

Data analysis
The data analysis has been complete with the use of the NVivo Qualitative Analysis
software. The research work is completely based on some journal articles. The secondary data
from the sources have been analyzed through the use of the analysis software. Different types of
variable and factors have been analyzed in the Nvivo software.
Figure 1: Parent and Child Node
(Source: Created by Author in NVivo Software)

The picture given in the above section is about the parent and child node identification in
the NVivo Qualitative Analysis Software. From the figure, it can be noted that there is one main
parent node “mobile cloud computing”. This is having 3 child nodes named as “advantage of the
new framework”, “issues faced by dyslexic student” and “features of new framework”. The first
child node has six child nodes; “privacy”, “Awareness”, “Interest”, “easy to use”, “motivation”
and “security”. The second child node has other six child nodes; “listen”, “read”, “confuse”,
“familiarize with technology”, and “write”. The third child node has three more child nodes;
“WLAN”, “easy interface” and “cloud computing”.
Figure 2: Nodes clustered by word similarity

Node A Node B Pearson correlation
coefficient
Nodes\\mobile cloud computing\
features of new framework\WLAN
Nodes\\mobile cloud computing\
features of new framework\easy
interface
-0.009044
Nodes\\mobile cloud computing\
features of new framework\WLAN
Nodes\\mobile cloud computing\
features of new framework\cloud
computing
-0.010888
Nodes\\mobile cloud computing\
features of new framework\WLAN
Nodes\\mobile cloud computing\
features of new framework\GPS
Tracking
-0.01395
Nodes\\mobile cloud computing\
features of new framework\easy
interface
Nodes\\mobile cloud computing\
features of new framework\cloud
computing
-0.043225
Nodes\\mobile cloud computing\
features of new framework\GPS
Tracking
Nodes\\mobile cloud computing\
features of new framework\cloud
computing
-0.044813
Nodes\\mobile cloud computing\
features of new framework\GPS
Tracking
Nodes\\mobile cloud computing\
features of new framework\easy
interface
-0.055385

Figure 3: Important elements
Figure 4: Features of the newly proposed system

Node A Node B Pearson correlation
coefficient
Nodes\\mobile cloud computing\
advantage of new framework\
security
Nodes\\mobile cloud computing\
advantage of new framework\
motivation
0.004604
Nodes\\mobile cloud computing\
advantage of new framework\
Privacy
Nodes\\mobile cloud computing\
advantage of new framework\
Awareness
-0.005045
Nodes\\mobile cloud computing\
advantage of new framework\
Privacy
Nodes\\mobile cloud computing\
advantage of new framework\
motivation
-0.00681
Nodes\\mobile cloud computing\
advantage of new framework\
motivation
Nodes\\mobile cloud computing\
advantage of new framework\
Awareness
-0.010108
Nodes\\mobile cloud computing\
advantage of new framework\
security
Nodes\\mobile cloud computing\
advantage of new framework\
Privacy
-0.010314
Nodes\\mobile cloud computing\
advantage of new framework\
Privacy
Nodes\\mobile cloud computing\
advantage of new framework\
Interest
-0.012409
Nodes\\mobile cloud computing\
advantage of new framework\
Nodes\\mobile cloud computing\
advantage of new framework\
-0.01531

security Awareness
Nodes\\mobile cloud computing\
advantage of new framework\
security
Nodes\\mobile cloud computing\
advantage of new framework\
Interest
-0.016471
Nodes\\mobile cloud computing\
advantage of new framework\
Privacy
Nodes\\mobile cloud computing\
advantage of new framework\easy
to use
-0.016966
Nodes\\mobile cloud computing\
advantage of new framework\
Interest
Nodes\\mobile cloud computing\
advantage of new framework\
Awareness
-0.018419
Nodes\\mobile cloud computing\
advantage of new framework\
motivation
Nodes\\mobile cloud computing\
advantage of new framework\
Interest
-0.024863
Nodes\\mobile cloud computing\
advantage of new framework\easy
to use
Nodes\\mobile cloud computing\
advantage of new framework\
Awareness
-0.025184

Figure 5: Word cloud

Figure 6: Outcomes from the project & keywords
Finding
In the first reference the concept can be used for the advancement of several biomedical
instruments. In the second reference the concept will create several new features which can be
really helpful for the dyslexic patients. In the third reference the concept can be used in the
advancement of the framework for the help of the handicapped individuals. In the fourth
reference the concept related to the design of a home multi robot system is discussed to assist the
elderly and disabled persons. The fifth reference tells about the system which can be
implemented for the disabled learners and it can save the amount of cost a larger extent. This