Abstract:
The academic environment as well as any organization also has a multitude of data that, through Business Intelligence (BI), can add knowledge and assist the management. BI technology is seen, both from a global and national perspective, as organizational ambidexterity for public administration. This research aims to use along with the CRISP-DM to guide Knowledge Discovery on data from the academic scenario from Muzambinho campus, in the hope of monitoring the composition of Academic Efficiency indexes of each enrollment cycle of courses under the management of the Education Directorate. The academic indicators are statistical values that attribute quality to teaching and reveal the management of public investment to society. In the academical cicle, depending on the goal and data analysis, four indicators can be extracted as Conclusion, Retention, Dropout and Academic Efficiency. However, only the Academic Efficiency will be addressed for being considered the most comprehensive in relation to the goals and objectives established for the Institutes of the Federal Professional Education Network. The research is applied, exploratory, descriptive, quanti / qualitative using technical procedures of bibliometric analysis, CRISP-DM, bibliographic and documentary research. CRISP-DM is consolidated as a good practice for the context of educational data mining. For this proposal, the Muzambinho campus was chosen as a pilot project because it has the largest number of courses offered within IFSULDEMINAS. Besides, it is also the campus of the author of this research. It is important to highlight the conception of the Descriptive Model of Academic Efficiency with the pedagogical, permanence and success dimensions and additional aspects along with the variables involved. Furthermore, its implementation/visualization through a partial indicator panel allows preventive and/or mitigating actions as a strategy before consolidating the coefficient. Such fact enables better results, monitoring of the academic process, organizational sustainability and the effectiveness of this unit in terms of confirmed public value.
