Data Mining and Predictive Analytics in Digital Education: Lessons We can Learn from Big Data that are Often Discarded

Abstract

This chapter presents an overarching overview of how the rather recent technological phenomena, like data mining, machine learning, and artificial intelligence, are applied in the field of education. The author provides examples of how technological developments associated with the so-called Fourth Industrial Revolution are applied in education and considers the benefits and challenges they may bring regarding the economic system, as education (at least in the higher education sector) tends to be monetized and commercialized. The framework for education is perceived in the context of the economic intelligence of states, which is instrumental in ensuring their economic security. It is further expanded to the global scale, as Digital Education is crossing national borders and is being implemented in broader national processes.

Citation

Malakhov, A. (2019), "Data Mining and Predictive Analytics in Digital Education: Lessons We can Learn from Big Data that are Often Discarded", Jules, T.D. and Salajan, F.D. (Ed.) The Educational Intelligent Economy: Big Data, Artificial Intelligence, Machine Learning and the Internet of Things in Education (International Perspectives on Education and Society, Vol. 38), Emerald Publishing Limited, Leeds, pp. 143-159. https://doi.org/10.1108/S1479-367920190000038009