Predição de Desempenho no Moodle usando Princípios da Andragogia

• Fernando R. Trindade UFG
• Ana Paula Laboissière Ambrósio UFG

Abstract

This study presents a tool for predicting academic performance of distance learning students. We have extended the Moodle Predicta software, which was originally based solely on students’ school behavior, to include data on teacher attitudes in the calculation of prediction. Supported by recent academic literature and Andragogy guidelines, teachers’ characteristics that can impact student achievement were selected. We present the visualization module of the Moodle Predicta software, along with its reports and graphs of teacher activities and discuss what will be done to complete the prediction module.

Keywords: Distance Learning (DE), Moodle, Prediction Calculation, Teachers, Software

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