Framework para análise e intervenção no processo de aprendizado

Abstract

The use of technologies such as the Internet allows productions and interactions to be stored. This information, when analyzed, is a source of knowledge about users, their preferences and needs. Thus, such analysis is the new topics in several areas, such as industry, and the environment, health and education. When this is an area of education, an extraction of knowledge provides an understanding of various types of educational processes. Although there are several researches in this area, they were still great challenges. One is related to the difficulty in performing a detailed analysis of such data. For the teacher, analyzing and tracking the data is an important and complex task. Because the data volume can be very large and, between a collection and an analysis, it contains a small amount of time. This context, we delimit the production of computed computational analysis with analysis of data academic, connector for any client of knowledge computed data digital, with an data processing in data of data. The analysis data tool has been proposed to be flexible to be applied in any context, with the collection, forecast, recommendation and visualization module. In the month, external software is expected to be available for external tools. To validate the proposal, the prototype was implemented as part of the solution with the requirements necessary for the use of proof of concept. The testes were performed with a set of public data. And the results obtained with the conceptual model presents a possibility of improvement in data analysis and intervention in the learning process