Uma ferramenta para visualização das tendências de evasão geradas por mineração de dados a partir das interações em fóruns de discussão

Francisco Silva, Luís Carlos Fonseca, Reinaldo Silva, Josenildo da Silva


This work shows the working version of a tool to present diagnostic evasion generated by data mining in Virtual Learning Environments from the students interactions in discussion forums. It enables stakeholders ease in understanding the results and serves to aid in decision making. The same has as input files with classification rules generated by algorithms based on decision tree and files containing the data used in mining. As a result, it shows the dropout trends, disapproval and approval of students and tells you how many and which ones are inserted in each rule.

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