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Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables involved in them. Using machine learning algorithms, we predicted graduation rates in a real case study to support decision making. Real data from five undergraduate engineering...
Through the processes set out by Learning Analytics, this paper describes a decision making model which supports the managers of higher education institutions at the moment of making academic decisions. In the analysis and requirements phase, the importance of creating and categorizing indicators is presented in detail, thereby facilitating the finding of hidden patterns in the educational information...
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