Mathematical Modelling and Big-data Analytics are playing a vital role in educational databases. The result of integrating technology to predict student performance along with Mathematical Modelling and Big-Data Analytics helps us to make better decisions about teaching and learning. Modelling involves formulating real-life situations or to convert the problems in mathematical explanations to a real or believable situation. However, Mathematical modelling are an essential enabler in Big-data and Developments in Big-data analytics require not only more computing, but also new advanced mathematical approaches. In this paper, our main aim to see how Mathematical Modelling and Big-Data analytics help in students' learning and how they relate to each other.
CITATION STYLE
Prakash, K. P., & Selvakumari, K. (2021). Mathematical Modelling and Big-Data Analytics for Student Performance. In Journal of Physics: Conference Series (Vol. 1850). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1850/1/012017
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