Data-driven educational decision-making model for curriculum optimization
Edis Mekić1, Irfan Fetahović1, Kristijan Kuk2, Brankica Popović2 and Petar Čisar2, 1State University of Novi Pazar, Novi Pazar, Serbia, 2University of Criminal Investigation and Police Studies, Belgrade, Serbia
Abstract
This chapter explores the implementation of machine learning, artificial intelligence (AI), and big-data analyses in the decision-making model of curriculum optimization. Preparing the curriculum is only a small part of the overall process of planning and implementing the education cycle. Data obtained and analyzed with machine learning techniques from archives can provide insight into the past efficiency of teaching, help us to predict future ...
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