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Big Data and Learning Analytics in Higher Education: Demystifying\n Variety, Acquisition, Storage, NLP and Analytics

2018/01/03 by Amal S. Alblawi, Alblawi, Amal S.
Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Online Learning and Analytics

paper · pdf · doi:10.48550/arxiv.1801.06052

openalex publication_date 2018/01/03 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28

Abstract

Different sectors have sought to take advantage of opportunities to invest in\nbig data analytics and Natural language processing, in order to improve their\nproductivity and competitiveness. Current challenges facing the higher\neducation sector include a rapidly changing and evolving environment, which\nnecessitates the development of new ways of thinking. Interest has therefore\nincreased in analytics as part of the solution to many issues in higher\neducation, including the rate of student attrition and learner support. This\nstudy provides a comprehensive discussion of big data, learning analytics and\nuse of NLP in higher education. In addition, it introduces an integrated\nlearning analytics solution leveraging a distributed technology system capable\nof supporting academic authorities and advisors at educational institutions in\nmaking decisions concerning individual students.\n

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