Academic decision making model for higher education institutions using learning analytics



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. Our work in this field includes the modelling and construction of software architecture in which the work of said indicators is included. Finally, the implementation of this new decision making support tool is shown as the result during a pilot test carried out in a Public University in Latin America.


YV Niet
Vicente García Díaz
CE Montenegro