Educational intelligence: Applying cloud-based big data analytics to the Indian education sector

Samiya Khan, K. A. Shakil, Mansaf Alam
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引用次数: 20

Abstract

Big Data technology is a generic technology, which can be applied to any real-world problem that involves a lot of data. Moreover, the use of cloud-based infrastructure to implement the big data technology makes it a cost-effective solution to the big data problem. One of the fundamental sectors that can benefit from this technology is education and research. The education system can use big data analytics to provide better education and administer the institutional operations. Research, which is an extension of education, can use analytics of big scholar data, for diverse applications, to facilitate research at the individual, team and organization level. With that said, the practical implementation and adoption of big data for education and research, collectively referred to as ‘Educational Intelligence’, faces several challenges, particularly in a developing country like India. This research paper explores how cloud-based big data analytics can be applied to Indian education and research and reviews the challenges that need to be addressed before the true benefits of this technology can be obtained.
教育智能:将基于云的大数据分析应用于印度教育部门
大数据技术是一种通用技术,可以应用于任何涉及大量数据的现实问题。此外,利用基于云的基础设施来实施大数据技术,使其成为解决大数据问题的经济高效的解决方案。可以从这项技术中受益的一个基本部门是教育和研究。教育系统可以使用大数据分析来提供更好的教育和管理机构运营。研究是教育的延伸,可以利用对学者大数据的分析,用于不同的应用,促进个人、团队和组织层面的研究。话虽如此,大数据在教育和研究中的实际实施和采用,统称为“教育智能”,面临着一些挑战,特别是在印度这样的发展中国家。本研究报告探讨了如何将基于云的大数据分析应用于印度的教育和研究,并回顾了在获得该技术的真正好处之前需要解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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