A model to support the educational management of institutions of higher education with knowledge discovery based on institutional self-evaluation process (SINAES)
Year: 2012
Type: dissertation
Abstract: The Institutional Self-evaluation is a matter of great current relevance in the context of higher education in Brazil. The problem investigated in this research: How to help managers IES Detecting weaknesses in promoting self-assessment and corrective actions in the short, medium and long term. In attempting to answer this question the ultimate goal of this work is to develop a model to enable the systematic application of the policy of the National Assessment of Higher Education (SINAES). In developing the theoretical framework of this research sought to contextualize the policy defined by SINAES to implement self-evaluation and show how the combined resources of Statistical Process Knowledge Discovery (KDD) for collection, analysis and discovery of new knowledge can contribute to the process IES.A of evaluative methodology used was the construction of assessment tools for learners and managers to generate statistics and through this database to perform these mining and obtain the relevance of the attributes of a database by the software Rapid miner. The next step was the elaboration of the relevance of the attributes of the base by a specialist in institutional assessment based on official documents IES.Os results of the three assessments (students, managers and specialist) were consolidated in a graphic for analysis and identification of differences of problems to generate a model of recommendation to minimize the weaknesses detected. After that a seminar was held with the leaders of the college of IES to assess impacts in managing against the new knowledge obtained through data mining and new knowledge they considered important as a tool to support decision making of IES.
Author: Oliveira, Leopoldo Ramos de
Language: Portuguese
Topic: Education and Public Policy
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7120623811