Volume 6 Issue 1 by Palanivel Kuppusamy
INTERNATIONAL JOURNAL OF ADVANCE SCIENTIFIC RESEARCH AND ENGINEERING TRENDS, 2020
Smart education has become an essential need for everyone with its conveniences and quick-to-adop... more Smart education has become an essential need for everyone with its conveniences and quick-to-adopt modes. It has gathered the attention of people by interlinking various fields and disciplines of knowledge through communication for educational purposes. A lot of research involves the area of Smart Education. However, the challenges are the increase in the complexity and more interoperability between systems in the distributed environment. The lacking is reference architecture in which by reusing various technology services. It is proposed to design smart education architecture with emerging technologies services such as big data, blockchain, cloud computing, artificial intelligence, machine learning, smart computing, etc. The objective of this paper to design a service-oriented reference architecture to smart education. This research paper reviewed the existing emerging technologies applied in smart education architecture that serves as the domain. This article proposes a new architecture called service-oriented reference architecture to a smart education system. The proposed architecture is a highly scalable solution for smart education concerning applications, platforms and infrastructure.
International Journal of Latest Technology in Engineering, Management & Applied Science, 2019
The blockchain is an emerging technology that serves as an immutable ledger, which allows transac... more The blockchain is an emerging technology that serves as an immutable ledger, which allows transactions to take place in a decentralized manner. It has become a publicly available infrastructure for building decentralized applications and achieving interoperability. Blockchain-based applications ensure transparency and trust between all parties involved in the interaction. The blockchain also makes blockchain technology-based services interest to the education sector. Nowadays, educational organizations focus on online education and propose to create a system based on educational smart contracts in a public ledger. This public ledger will be shared between major offline educational institutes around the world. From a software architecture perspective, blockchain enables new forms of distributed software architectures across a large network of untrusted participants. The objective of this article is to apply blockchain technology in learning solutions and to propose a blockchain architecture to e-Learning solutions in Higher Education Systems. The proposed architecture exploits the benefits of the blockchain and offering security, anonymity, longevity, integrity, transparency, immutability and global ecosystem simplification, in order to create a globally trusted higher education credit system.
The recent advancements in technology have produced big data and become the necessity for researc... more The recent advancements in technology have produced big data and become the necessity for researcher to analyze the data in order to
make it meaningful. Massive amounts of data are collected across social media sites, mobile communications, business environments and
institutions. In order to efficiently analyze this large quantity of raw data, the concept of big data was introduced. In this regard, big data analytic
is needed in order to provide techniques to analyze the data. This new concept is expected to help education in the near future, by changing the
way we approach the e-Learning process, by encouraging the interaction between learners and teachers, by allowing the fulfilment of the
individual requirements and goals of learners. The learning environment generates massive knowledge by means of the various services
provided in massive open online courses. Such knowledge is produced via learning actor interactions. Also, data analytics can be a valuable tool
to help e-Learning organizations deliver better services to the public. It can provide important insights into consumer behavior and better predict
demand for goods and services, thereby allowing for better resource management. This result motivates to put forward solutions for big data
usage to the educational field. This research article unfolds a big data reference architecture for e-Learning analytical systems to make a unified
analysis of the massive data generated by learning actors. This reference architecture makes the process of the massive data produced in big data
e-learning system. Finally, the BiDRA for e-Learning analytical systems was evaluated based on the quality of maintainability, modularity,
reusability, performance, and scalability.
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Volume 6 Issue 1 by Palanivel Kuppusamy
make it meaningful. Massive amounts of data are collected across social media sites, mobile communications, business environments and
institutions. In order to efficiently analyze this large quantity of raw data, the concept of big data was introduced. In this regard, big data analytic
is needed in order to provide techniques to analyze the data. This new concept is expected to help education in the near future, by changing the
way we approach the e-Learning process, by encouraging the interaction between learners and teachers, by allowing the fulfilment of the
individual requirements and goals of learners. The learning environment generates massive knowledge by means of the various services
provided in massive open online courses. Such knowledge is produced via learning actor interactions. Also, data analytics can be a valuable tool
to help e-Learning organizations deliver better services to the public. It can provide important insights into consumer behavior and better predict
demand for goods and services, thereby allowing for better resource management. This result motivates to put forward solutions for big data
usage to the educational field. This research article unfolds a big data reference architecture for e-Learning analytical systems to make a unified
analysis of the massive data generated by learning actors. This reference architecture makes the process of the massive data produced in big data
e-learning system. Finally, the BiDRA for e-Learning analytical systems was evaluated based on the quality of maintainability, modularity,
reusability, performance, and scalability.