Identification of characteristics and functionalities for the design of an academic analytics model for Higher Education

The presence of digital technologies in society is indisputable, it has impacted and transformed the lives of citizens. Higher education institutions are not left out of this transformation. The value of knowledge as a fundamental asset of the Knowledge Society is decisive. Its management is imposed as a competitive advantage. Part of the institutional resources must be dedicated to developing capacities to share, create and apply new knowledge continuously over time. Technological ecosystems, considered as the evolution of traditional information systems, are positioned as knowledge management systems that encompass both the technological component and the human factor. The application of techniques for educational data analysis, such as learning analytics, academic analytics, and educational data mining, are beginning to be positioned as appropriate strategies to optimize decision-making in higher education. It is interesting to wonder if universities are aware of these technological developments and, furthermore, if they are interested and prepared to incorporate them. The objective of the research is to investigate how, based on the capabilities of academic analytics for the improvement of the management of higher education, characteristics and functionalities can be defined that an applicable model should include in university institutions, particularly in Argentine.