Abstract
In many sectors, including education, the growth of data has been increasing dramatically over the years. In order to make sense of this data and improve decision-making, analytics and intuition-based decision-making should be key components in this “Big Data” era. Educational data mining and learning analytics are becoming the lingua franca for those institutions who seek to improve their strategic and operational decision-making abilities. This chapter highlights some thoughts in these areas.
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Liebowitz, J. (2017). Thoughts on Recent Trends and Future Research Perspectives in Big Data and Analytics in Higher Education. In: Kei Daniel, B. (eds) Big Data and Learning Analytics in Higher Education. Springer, Cham. https://doi.org/10.1007/978-3-319-06520-5_2
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DOI: https://doi.org/10.1007/978-3-319-06520-5_2
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