Education and Information Determinants †Free Samples to Students

Question: Discuss about the Education and Information Determinants. Answer: Introduction: Cloud computing refers to computing activities done in the virtual interface instead of physical hardware interface. Due to its wide range of uses, cloud computing is now being used in various fields including business, education, healthcare, logistics, statistics and others. The main advantage of cloud computing is that it does not require any physical space and can run on itself on the virtual interface if they are programmed correctly (Alghabban, Salama Altalhi, 2016). The user only requires an internet connection to access cloud computing data. Another advantage is that cloud computing is that it is extremely efficient in data management and removes all possibilities of errors that may occur due to human operations. In this particular research, cloud computing is used as a platform for aiding dyslexic students. It has found that cloud computing can be utilized for this purpose by developing a mobile app that will specially design for aiding dyslexic children. Use of Cloud Computing in Education Previously, various researchers have suggested various techniques of using cloud computing services in education. However, cloud computing has not yet been utilized extensively in education sector due to the security issues it faces. Cloud computing is still only selectively used in education like online examinations, tutorial videos and others (Alizadeh et al., 2016). With the development of several security tools for cloud computing, it is becoming for feasible for use in the education sector that includes future online interactive classrooms, total digitalization of examinations, special educational mobile apps and others. Dyslexia Students This research is entirely focused on the developing a cloud-based solution for dyslexic students who are unable to cope up with regular learning classes. They need special help for education and cloud computing can be used to develop an app that will be specially designed for educational purposes. The details of the development are discussed later in the assignment. Low-Cost Education Another issue that can be addressed using this research is a reduction of cost of education. The current educational systems in most of the countries are extremely high owing to the number of teaching faculties appointed and the extensive use of technology. The cost of education is further increased for dyslexic students as they require special attention and teaching methods (Hossain, 2017). However, it has been found that in the rural areas of various countries, such high standards of education are not available and as a result, the dyslexic students of these areas do not receive sufficient education. Hence, this research is aimed to solve such problems as well. Significance of the Study The significance of this study is that it covers a mostly unexplored side of cloud computing i.e. its application in the education of the dyslexic students. However, there are some gaps that arise from the limitation of this particular study. The limitations and gaps are explained as follows. Access Since the target of this research is to develop a cloud-based mobile for aiding the dyslexic students, smartphones will be required for accessing the app. However, in most of the rural areas, people generally do not have any access or afford smartphones. As a result, the target objective of the development of the app will not be successful. Addiction Another main gap of the proposed solution is the mobile addiction that is very common in the children nowadays. Once a student gets access to a smartphone, it is highly likely that he will become addicted to the phone by playing games and using other applications. Hence, this issue must be addressed before developing the educational app for the dyslexic students. To research on existing works based on application of cloud computing in various fields including education To develop a suitable model for addressing the identified problems To prepare an implementation plan for the proposed model The purpose of this research is to find out the best solutions that can assist the dyslexic students to learn and grow, the students suffering from the disease have problems regarding phonics, have problems regarding phonics and fluency. The students suffer to read and spell words, also suffer to manage surroundings and conditions. The dyslexia students, unlike regular students, need trained tutor and reading specialist and academic therapist to constantly monitor them and constantly help them in learning. Unlike the regular students, these students take more time to learn and need constant support and encouragement from the academic therapist and from their parents. The students suffering from dyslexia can learn in quick times and in a better way especially in small groups rather than in a whole classroom. The positive instructional interactions (PIIs) is provided. The pre-teaching is also encouraged that means the students are taught the lessons beforehand visually using toys and later the formal teaching is offered so that they learn the lessons quickly. The students are also offered lessons so that they can learn spelling rules and the pronunciation strategies. Literature Review In this research, the model for the proposed cloud-based platform development for supporting the dyslexic students has been explored. They do not need to consider some other media for correspondence. According to Islam et al. (2017), cloud-based learning can be suitable for teaching disabled students who need special attention instead of regular teaching methods. Hyperactivity disorder of some disabled and dyslexic students is not favourable for the learning condition. Keeping in mind the end goal to moderate the issue, it is important to use certain instruments and propelled innovation. For this specific, ponder material the versatile computing is embraced by the students. Considering the propelled innovation named as portable innovation, the disabled and dyslexic students are expected to be benefitted from the cloud-based platform for education. After the fruitful finish of the investigation with the assistance of versatile computing, a propelled learning methodology could be creat ed with the cloud computing platform. Simpson (2005) gathered information from various surveys and analytic studies and created study inquiries to comprehend the issues or difficulties of customary learning with the goal to propose a cloud-based mobile learning platform for the dyslexic and disabled students. It is identified that both information technology as well as internet are providing number of solutions to numerous health issues as well as problems related to communication and transport. Information communication technology has become one of the huge platforms that help in managing various issues like dyslexia. According to Alghabban, Salama and Altalhi, (2016), information technology assists in creating number of advantages which are used for the welfare of human beings. The invention in the field of information technology is considered as one of the most significant inventions of cloud computing. The technology of cloud computing is helpful enough in providing proper powerful unit of processing that is mainly shared by various computers in order to analyze data for making reliable decisions. The paper mentions that Cloud-based mobile cloud computing is mainly developed for treating the patients using proper application of healthcare so that proper comparison is made between the tools with the tools that are utilized by the students of dyslexia. It is opined by Kollorz et al. (2016) that proper integration is also done between various smart home applications as well as mobile cloud computing. The smartphone application is mainly implied in order to form wireless network as well as connectivity that further assist in forming proper deployment of the procedures (Liang, 2016). The system is quite helpful in serving various opportunities of the learners. The thought identified with the utilization of cloud computing is used in this exploration for tending to training issues of the dyslexic students. This idea can be utilized for the progression of a few biomedical instruments. The idea identified with the use of portable information is talked about for the determination of the Dyslexic patients. This will make a few new highlights which can be truly useful for the dyslexic patients. Further, the idea identified with the interpersonal organization framework for hard of hearing and visually impaired patients is talked about. As per Zhu et al. (2016), this idea can be utilized as a part of the progression of the framework for the assistance of the disabled students. Since the development of cloud computing, researchers have been trying to utilize it in the educational sector in order to aid the students, especially those who require special attention instead of regular teaching processes. Hence, the goal was to develop a cloud-based education platform that could be used an alternative teaching method for the disabled children. Since then, it has been found that this cloud-based alternative can also be used as an alternative teaching platform for the dyslexic students who require special attention for learning. Cloud computing can be used for developing an m-learning platform for smartphones. This m-learning platform will contain learning modules for the dyslexic students who can be taught by the teachers using those modules. This m-learning platform is supported by the cloud computing database that will manage all the data and the modules. Giving instruction for dyslexic students is a test (van Deursen, Ben Allouch Ruijter, 2016). These students require an exceptional approach contrasted with ordinary students. They are known to have constrained capacity to focus and effectively diverted. One way data sharing where an educator is the wellspring of data is not reasonable for them. A learning module that can reproduce their advantage and catch their consideration is expected to guarantee a powerful learning session. AR permits the virtual protest and certifiable to coincide, permitting the question of concentrate, for example, nuclear structure to be enlivened, therefore, breaking the limit of room and time. This improves the students comprehension and memory. Yang Leung (2016) said that cloud computing innovation empowers an area autonomous computing where the computing assets, software, and information are put away i n the cloud. The research additionally demonstrates that utilization of augmented reality (AR) in instruction gets positive criticism from students and educators. Students are energized on the intelligent part of AR and the flexibility for them to investigate the subject of concentrate inside a protected situation. Then again positive reactions are gotten from instructors on the viability of AR-based module in supporting learning sessions. This gives more proficient data sharing among worldwide web clients. Pee et al. (2016) recreated a framework created by specialists that depended on the hypothesis of arranged conduct utilizing a huge specimen of some college students. The framework featured the noteworthy components that impact students' thoughtfulness regarding receive m-learning, which are disposed of, a subjective standard, and saw behavioural control. In any case, there is a potential predisposition in this examination as it concentrated just on students and in this manner educators were not considered. In addition, the example was limited to one college and along these lines, the investigation's discoveries cannot be summed up. Some different analysts have considered the issue of the high speculation of the current conventional area based learning systems (Intranet) and the support being finished by instructive foundations. The creators proposed a theoretical framework for pervasive learning by coordinating portable applications with cloud benefits and empowering access by means of the college's private cloud. According to Liang (2016), the students can get to the substance either by a portable application or a web benefit that mentors can transfer. A few scientists tended to the issue of stage reliance of existing versatile applications. They built up a versatile application cross-stage framework with respect to working systems, equipment (handheld gadgets), and web programs in view of CC for training in higher establishments in some countries. The proposed framework is anything but difficult to learn; besides, it underpins cross-stage and cross-gadget utilize and the client gets to the most recent rendition of the application promptly without upgrading. Be that as it may, there are a few downsides, for example, the way that the JQuery portable application is moderate on mobiles incorporates a few bugs, and has restricted capacities. Managerial staff deals with all the framework administrations. Nevertheless, this framework gives a predetermined number of instructive administrations. It does not consider the social and joint effort viewpoints, for example, gatherings and dialogue gatherings. According to the works of Lo'ai et al. (2016), the current learning administration systems are risky in that they are just in light of a PC domain without supporting remote gadgets; besides, there is an absence of instructive assets. However, this proposed system has a few disadvantages, including constrained info ability and handling power, the absence of memory limit and assets, a little-estimated screen, and no approval. A few analysts examined whether students' and instructors' recognition with respect to learning are certain or negative. They likewise inspected regardless of whether they are prepared to utilize portable advances for learning purposes. They built up a site that incorporates the meaning of m-learning, its preferences and inconveniences, and valuable connections for branches. The point of this framework is to upgrade the acces sibility of learning by blending separation learning and existing conventional learning systems with m-learning (a half and half model) notwithstanding utilizing a CC worldview. They presented the Educational Software as a Service idea (ESaaS), which is a type of CC that has the instructive software in the cloud and gives such software. The outcomes demonstrated that while students and educators need to utilize versatile innovation in instruction, their ability levels are lacking (Islam et al., 2017). However, the creators in this investigation did not cover every one of the recipients of m-learning. A few specialists advanced self-coordinated learning by giving hypothesis, substance, and self-practices by means of m-learning asset for understudies and researched the utilization of cell phones in learning. The creator built up m-learning site with seven pages: the landing page, an input page with connections to valuable sites, and five pages identified with various learning units. T he learning materials were bolstered with content, recordings, introductions, and tests. Despite the fact that the proposed site reflected empowering self-course and engagement of understudies, it didn't found on an academic approach because of the analyst's innovation confinements. The tests were additionally extremely basic with no inherent criticism; besides, no intelligent liveliness or social as well as synergistic means were incorporated. First Best Model- iCohere feature model iCohere is an online classroom program specially designed for the students suffering from dyslexia, the model above shows the six benefits that are provided by iCohere to help the dyslexia students to learn and grow. The reading specialist and academic therapist offers a wide range of quality content materials that can assist the students suffering from dyslexia can get deeper learning facilities. The dyslexia students like the regular contents can have similar access to the teachers teaching materials. However, the study materials are made more elaborated for the dyslexia students (Johnson et al., 2014). iCohere also caters archives of recorded programs. The dyslexia students tend to be slow learner that is why the recorded lecture programs have been prepared, the students can have the opportunity to access the materials again and again, the students can access the videos anytime, can pause the video. The virtual classroom concept from iCohere can provide the opportunities to intera ct with their instructors more, the students can clear doubts, can ask questions and can get answers (Kraft et al., 2015). The Live Chat encourages two way communications between the dyslexia students and the academic instructors that pave the learning opportunity of the students. iCohere also arranges for a peer learning community where dyslexia students can gather and can learn and grow all together, that can ease the learning process as well and can help the instructors. The smart classrooms can help the students as well. The instructors can explain 3D models and can use digital blackboard due to smart classroom that can facilitate the students. It is found that this project has a number of drawbacks as well as limitations that are mainly discussed in detail in this section. The iCohere feature model is very much expensive; the parents of dyslexia students sometimes cannot afford the iCohere training. Besides the students sometimes find the technology complicated and feature heavy. The students generally struggle while reading and the iCohere programs sometimes fail to deliver the purpose. Another problem that is identified with this structure is that it can be utilized for determining the relationship that exists between the different limitations of the model (Kraft et al., 2015). It is quite unable to provide proper two-sided communications as it is quite compulsory in resolving the problems which are mainly associated with the students. The main advantage that is associated with the creation of this model is quite beneficial for the patients of dyslexia. However, in this case, the patients are unable to provide the issues which are associated with his or her reading skill or pronunciation (Johnson et al., 2014). The other significant problem related with this flowchart is that it cannot make the system advanced in terms of feedback as well as accuracy. The problem that is associated with the system is that it does not ask feedback from the students. The students are mainly cable of getting proper idea about the objectives that are generally reflected on the screen however they are not able to convey their problems properly to the system (Pee et al., 2017). In order to get a proper model, it is quite important to focus on the student as well as on the issues that are mainly associated with the student. It must be provided to the specific system in order to understand the problems as well as issues of the student for understanding the paragraph as well as letters within a paragraph. The main issue is that they are not capable of differentiating between the characters of the same type which generally l ook the same. The disadvantage that is mainly associated with calculations as well as numbers cannot be generally asked by the model for getting proper information. The problem is that the students are not completely getting the idea when they do not have proper information about the sound or identification of character (Jayapandian, 2014). There is a number of problems that are mainly associated with the system which is not also beneficial for the guardians who mainly help than children in understanding about the problems (Helland, 2016). Therefore a new system is needed that is generally helpful for the student in understanding the letters as well as characters in quite a specific way. Second Best Solution The dyslexia is a disorder which can be characterized by the following symptoms- blurring (non-refractive), movement or jumping of words or letters, the words tend to sink on the whiteboard of the page, shimmering on the page, the unpredicted pattern formed in between the lines and the words by the spaces. The students have reported that they have seen rivers flowing through a page or flowing through texts. They have reported that they have seen individuals falling off the page. For every individual the visual information travels from the eye to the brain in a natural manner while in case of dyslexia students the visual information travels from eye to brain in a relatively quick manner so that needs to be slowed down. The coloured lens or better say the haloscopic filters from ChromaGen can solve the problem (Gomez Ojala, 2014). Basically, the haloscopic filters are of varying lengths and the filters have the capability to slow down the transfer of information and in this, the filters can synchronize characters in such a manner that the brain can easily detect the characters. The procedure of applying ChromaGen lenses is less hectic and less painful. A pair of frames is applied on the face. At first, the student is seated on a chair and asked to read characters in front without any lens and in this way, the rate of reading and words per minute are getting calculated (Alghabban, Salama Altalhi, 2017). Then the filters are applied one by one to the student, the students choose the lens which is most comfortable and the most suited one for reading the characters, the test is repeated one without lens and one with lens and thus the students suffering from dyslexia can learn to read characters. After that, they are monitored and this follow-up typically lasts 6 weeks to 3 months, gradually the students start to recover and the students have reported they have been benefitted by the ChromaGen lens. The ChromaGen lens works in a specific manner. At first, it scans the character which the students view and take inputs via the lens. The ChromaGen lens consists of a register where the input gets stored. Then ChromaGen asks for identification. The cloud technology assists in processing the data viewed by the students, the character or the data the students are viewing get compared to the input stored in ChromaGen registers if matches then ChromaGen can assure that the particular student is recovering. Via cloud computing, the input stored in the ChromaGen register is transformed into visual information and gets transmitted to the brain. In this way, the brain can get to know the correct word. The new model is quite advanced in terms of making the student understand about the various numbers as well as characters for identification in a quite effective way. Hence, this model will be extremely suitable for teaching the dyslexic students (Gomez Ojala, 2014). In this given model, a cloud computing platform is added, which is utilized for making the system much more advanced in terms of its overall accuracy and reliability. The main advantage of making a student understand the overall value of the project is that the learning of the student can be further enhanced in a broader aspect. The problem in the previous model is that the students are not capable of making identification or differentiation of various characters (Alghabban, Salama Altalhi, 2017). The main problem that is associated with it is that it does not ask the student about the feedback. It is identified that the student is able to get only the idea about the various objects which are mainly reflected in the sc reen however they are not able to convey the problems problem to the system. In order to overcome this model, it is identified that the system is mainly added within the element of cloud which helps in powerful processing for analyzing the data that is given by the student in order to make the issues in context with the students point of view. The introduction of cloud computing in the new model is helpful in creating a platform for the student which helps in verifying the objects that are reflected in the display system of the computers. The main advantage that is associated with the system helps in making it much more suitable for the students so that they can properly identify the problem in context to various standards. This project is mainly based on various applications of cloud computing that further helps the patients of dyslexia. It is identified that the patients of dyslexic faces number of issues that are mainly associated with reading as well as the writing of various characters. Cloud computing helps in providing a number of features including a powerful processing unit, privacy as well as the security of data. These features are generally utilized for helping the patients with the introduction of various characters. The patients mainly face a lot of problems that including confronting the issues as well as problems that they are facing to the doctors and as a result they get irritated. In order to resolve the problem of the student, several features are provided in order to create the proper centralized system. Another significant thing is interface design which is found to be attractive as well as helpful for the students. In addition to this, the project assists in analyzing the various roles of cloud computing in order to help the patients. Implementation of the Model The iCohere feature mode is not useful as it lacks the basic thing, it is unable to root out the reading problem which the patients or the students suffer from dyslexia. iCohere offers multiple features multiple facilities to the dyslexia students but still, the students require a lot of time to learn the materials. The implication of iCohere applications is quite expensive. Not every institute can afford to implement the iCohere applications at their premises. The parents even can pay the fees for their children (Kuila et al., 2016). The students find somewhat difficult to cope up with the technology, the model classrooms. Though digital classroom has been offered to them, still their reading problem persists, thus this model is not used for the effective treatment of dyslexia. Again the ChromaGen lens has side effects. The lens is not hundred percent accurate, the lens sometimes fails to decipher the language, sometimes fail to decipher ones handwriting. The battery needs to be recharged, otherwise, the lens will not work (Alizadeh et al., 2016). The lens uses the cloud computing so there are chances the hackers can attack and hack the sensitive information of the students, the hackers can even track what they are viewing thus the students security and privacy can get breached. Because of all these factors, ChromaGen usage is not usable. With a specific end goal to build up a system it is especially important to distinguish the components of customary and current instruction system for the stock hypothesis. In the wake of getting affirmation, the advancement speculations could be created productively. Some of the researchers have gathered essential and auxiliary information from various assets and broke down that data to build up the propelled cloud-based learning platform for the students especially the disabled who require special teaching methods rather than normal methods. With the assistance of cloud-based m-learning platform, the requirements of special teaching for dyslexic students can be fulfilled. On the off chance that the classification is recognized properly then the improvement of the propelled system will turn out to be considerably less demanding from the system approach. After the distinguishing proof of conventional approach, just the designers will have the capacity to send the advanced cloud-based approach for the cripple students. Due to the absence of learning instruments and innovations, a large portion of the students is confronting significant difficulties. With a specific end goal to relieve the mistakes of conventional coursework, versatile based cloud computing innovation is particularly useful. The learner utilizes mobile learning in order to learn from their place and thus the learners need to go to various education centres on daily basis. It is identified that server must be accessed properly by the user whenever required. It is stated by Hossain (2017) that it generally helps in serving proper virtual server to the different users. Under a proper understanding of the applications, the user goes through effective online communication. It is identified that the system of automation is generally helpful in providing proper accurate as well as necessary required components to the authors. This significant application is helpful in minimizing the various errors of th e system. It is stated by Alizadeh et al., (2016) that uses of proper monitoring approaches, as well as sensor nodes, are helpful in detection. The security system is quite beneficial in developing a secure relationship between the client and the server which will further be helpful in giving lower cost as well as lower power system to various consumers (Kuila et al., 2016). The solution will be capable of delivering a secured cloud-based server to different consumers. The various roles of smart health are done appropriately as the system has identified various types of migration problems. According to Zhu et al., (2016), the different types of equipment, as well as machines, are generally needed for treating patients and which would further assists in integrating the treatment without wireless connectivity. However, some issues related to the physical presence are needed as network error can create a number of process disruption for treating as well as monitoring patients. On the other hand, it is opined by Islam et al., (2017) that development of proper cloudlet based mobile cloud system is utilized for the treatment of the patients in various healthcare organizations. In addition to this, it is found that integration of both mobile clouds computing as well as Smartphone applications using the network structure for treating patients is quite advantageous. For developing a system it is very much important to identify various factors of current as well as traditional education system for the theory of inventory. It is identified that with the help of the proper cloud-b ased system, it is found that the decision that helps in making errors can be resolved as well as minimized. According to Pee et al., (2016), after proper implementation of the system, it is quite necessary to confirm that the system is quite beneficial from the various learning perspective. After getting proper confirmation, it is found that appropriate innovation theories can be easily developed. It is stated by Kuila et al., (2016) that the critics associated with the research paper have generally collected both secondary as well as primary data from various resources. It is identified that the information helps in developing proper as well as advanced learning approach for both the normal as well as disabled students. The implementation of Orton-Gillingham can prove to be fruitful and this approach is used widely all over the world for the treatment of dyslexia. Samuel Torrey Orton and Anna Gillingham have initiated the model with the objective of mitigating the difficulties the dyslexia students face associated with spelling, reading and writing (Pee et al., 2016). The model looks promising so far and it will take a leap in advancing dyslexia students career and life. Moreover, the approach has found to be fruitful for the students who have difficulty with mathematics. Evaluation of Implementation Orton-Gillingham is the instructional approach widely used all over the world, the initiative has been successful and the students have preferred this approach compared to other methods for the treatment of dyslexia. It is a powerful and effective tool having great flexibility, depth and breadth. The principles of this approach have been built in such a way that the students can receive instruction according to their requirements (Unesco, 2017). The National Reading Panel, a United States government body formed in the year 1997 with the objective of applying effective features for teaching students how to read. The principles Orton-Gillingham are- The Diagnostic and Prescriptive-The instructor always try to find out how a student learns and based on that the instructor imposes learning and teaching strategies. The instructors prepare lessons keeping every students strength and capabilities in mind (Pang et al., 2015). The other two mentioned models were focused on all students in general but here, in this case, Orton-Gillingham is exceptional. Therefore, this model is more flexible and easily acceptable. Explicit and Direct- The dyslexia students can get access to the study materials that are direct in nature and explicit in nature. The students never find any materials irrelevant that has not been taught to them before (Mulfari et al., 2015). The materials are taught in a sequential manner so that the students can learn with ease. Language basis- The Orton-Gillingham approach has been made on the basis of the technologies of studying language and the teaching language, the method understands the human language, understands the way every individual learns the language (Alghabban, Salama Altalhi, 2016). This method also focuses on the mechanisms associated with learning. Multisensory- The approach of Orton-Gillingham is somewhat multisensory. The sessions associated are all action-oriented. The kinesthetic elements, the auditory elements and the visual elements integrate all together and facilitate the learning process. The dyslexia students are taught to spell words alongside reading words appropriately (Beacham Duncan, 2017). In this scenario, the Orton-Gillingham is far ahead of other conventional phonics instruction. Cumulative, structured and sequential as well as flexible- The elements of the language like consonants, vowels, digraphs, blends and diphthongs are imparted to the students in a sequential manner. The Orton-Gillingham learning model is programmed in such a way that the students can learn new things alongside can revise the old lessons (Alghabban, Salama Altalhi, 2016). The different aspects of the language like reading comprehension, sentence structure, sentence composition and vocabulary are imparted to the students in a structured and cumulative manner. Cognitive- Because of the Orton-Gillingham, methodology, the students can learn the history of English language and language specifications (Van, Ben Allouch Ruijter, 2016). Because of constant monitoring and caring from the instructors the students can learn the English knowledge and can acquire the reading competency and the writing competency as early as possible. Flexible- The teachers and the instructors are always ready to help the students, each and every student is different and also their learning abilities, the teachers follow different learning patterns for the students, thus making the entire thing looks flexible (Bahari, 2016). Emotionally sound- Orton-Gillingham approach can give the students suffering from dyslexia confidence to learn and grow, thus this approach can prove to be fruitful. Conclusion This project is mainly based on various applications of cloud computing that further helps the patients of dyslexia. Previously, various researchers have suggested various techniques of using cloud computing services in education. However, cloud computing has not yet been utilized extensively in education sector due to the security issues it faces. Cloud computing is still only selectively used in education like online examinations, tutorial videos and others. With the development of several security tools for cloud computing, it is becoming for feasible for use in the education sector that includes future online interactive classrooms, total digitalization of examinations, special educational mobile apps and others. It is identified that the patients of dyslexic faces number of issues that are mainly associated with reading as well as the writing of various characters. Cloud computing helps in providing a number of features that include a powerful processing unit, privacy as well as the security of data that are mainly used by the users. These features are generally utilized for helping the patients with the introduction of various characters. The patients mainly face a lot of problems that including confronting the issues as well as problems that they are facing to the doctors and as a result they get irritated. In order to resolve the problem of the student, several features are provided in order to create the proper centralized system. Another significant thing is interface design which is found to be attractive as well as helpful for the students. In addition to this, the project assists in analyzing the various roles of cloud computing in order to help the patients. For developing a system it is very much important to identify various factors of current as well as traditional education system for the theory of inventory. It is identified that with the help of the proper cloud-based system, it is found that the decision that helps in making errors can be r esolved as well as minimized. After proper implementation of the system, it is quite necessary to confirm that the system is quite beneficial from the various learning perspective. After getting proper confirmation, it is found that appropriate innovation theories can be easily developed. References Alghabban, W. G., Salama, R. M., Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art. Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., Sakurai, K. (Authentication in mobile cloud computing: A survey. Journal of Network and Computer Applications, 61, 59-80. (2016). Alghabban, W. G., Salama, R. M., Altalhi, A. M-Learning: Effective Framework for Dyslexic Students Based on Mobile Cloud Computing Technology. Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., Sakurai, K. (2016). Authentication in mobile cloud computing: A survey.Journal of Network and Computer Applications,61, 59-80. Bahari, S. F. S. M. (2016). A Review of Learning Courseware for Children with Learning Disabilities in Malaysia. Benmarrakchi, F., El Kafi, J., Elhore, A., Haie, S. (2016). Exploring the use of the ICT in supporting dyslexic students preferred learning styles: A preliminary evaluation.Education and Information Technologies, 1-19. Daud, S. M., Abas, H. (2013, December). 'Dyslexia Baca'Mobile App--The Learning Ecosystem for Dyslexic Children. InAdvanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on(pp. 412-416). IEEE. Kollorz, E., Penne J., Hornegger J. and Barke, A. (2008) "Gesture recognition with a Time of flight camera," Int. J. Intell. Syst. Technol. Appl., pp. 334-343. Elsherif, T. B., (2016), Towards M-LearningEffective Tool to Improve Education for Dyslexic Students, International Journal of Engineering and Innovative Technology (IJEIT), 5 (9),pp.1-7 Salama, R. M., Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art. Hossain, M. S. (2017). Cloud-supported cyberphysical localization framework for patients monitoring.IEEE Systems Journal,11(1), 118-127.https:www.medgadget.com/2013/05/leica-3d-surgical-microscopes-with-truevision technology.html Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., Song, B. (2017). Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities.IEEE Access. Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., Song, B. Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. IEEE Access. (2017). Kuila, S., Shridhar, S., Patel, C., Iyengar, N. C. S. (2016). Cloud Computing Security by Using Mobile OTP and an Encryption Algorithm for Hospital Management.Journal of Computer and Mathematical Sciences,7(11), 558-565. Kuila, S., Shridhar, S., Patel, C., Iyengar, N. C. S. (2016). Cloud Computing Security by Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of Computer and Mathematical Sciences, 7(11), 558-565 Liang, P. C. (2016).Cost-effective design of real-time home healthcare telemonitoring based on mobile cloud computing(Doctoral dissertation, University of Surrey (United Kingdom)). Lo'ai, A. T., Bakhader, W., Mehmood, R., Song, H. (2016, December). Cloudlet-based Mobile Cloud Computing for Healthcare Applications. InGlobal Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-6). IEEE. National Institute of Neurological Disorders and Stroke, Dyslexia Information Page, 2011. [Online]. Available: https://www.ninds.nih.gov/disorders/dyslexia/dyslexia.htm. [Accessed: 03-Jul-2015]. Pang, L., Chen, C. J., Teh, C. S., Anding, P. N. (2015). Online Learning for Individuals with Dyslexia: A. Pee, N. C., Leong, P. H., Othman, M. A., Sulaiman, H. A., Othman, M. F. I., Rahim, Y. A. (2016). DycScreenCross-Platform Dyslexia Screening Test for Malaysian Children Through Hybrid Applications. InAdvanced Computer and Communication Engineering Technology(pp. 1083-1091). Springer, Cham. C. Simpson, "Smart wheelchairs: A literature review," Journal of Rehabilitation Research andDevelopment, vol. 42, pp. 423-36, 2005. Unesco (2017). Accessible ICTs and Personalized Learning for Students with Disabilities Retrieved 17 August 2017, from https://www.unesco.org/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/accessible_ict_personalized_learning_2012%20.pdf. van Deursen, A. J., Ben Allouch, S., Ruijter, L. P. (2016). Tablet use in primary education: Adoption hurdles and attitude determinants.Education and information technologies,21(5), 971-990. van Deursen, A. J., Ben Allouch, S., Ruijter, L. P. (2016). Tablet use in primary education: Adoption hurdles and attitude determinants. Education and information technologies, 21(5), 971-990. Yang, L. T., Leung, V. C. (2016). A novel sensory data processing framework to integrate sensor networks with mobile cloud. IEEE Systems Journal, 10(3), 1125-1136. Zhu, C., Wang, H., Liu, X., Shu, L., Yang, L. T., Leung, V. C. (2016). A novel sensory data processing framework to integrate sensor networks with mobile cloud.IEEE Systems Journal,10(3), 1125-1136.