mlsanityData to 7 Oct 2026

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

arXiv 1801.06052 ↗First posted 3 Jan 2018cs.CYcited by 2

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Abstract (arXiv)

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

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jan 2018.

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