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Educational data mining to track students performance on teaching learning environment LabSQL

机译:教育数据挖掘跟踪学生在学习环境教学中的表现

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Educational environments have added the software use to support teaching activities. In distance learning courses it's common to store large amounts of data, which detail record the activities developed by the students. Those data can be used by professionals for the discovery of informations that can help teachers and students to manage and monitor the teaching-learning process. This work aims to obtain inferences related to the performance of the students, based on the data obtained from the learning enviroment, called Language Teaching Laboratory SQL(LabSQL), through the use of Educational Data Mining techniques (MDE). From the experiments done, we propose an architecture model for an interface based on educationals mining data in order to help students and teachers during the course of the discipline.
机译:教育环境已添加软件用于支持教学活动。在远程学习课程中,储存大量数据是共同的,详细记录了学生开发的活动。这些数据可以由专业人士使用,以发现可以帮助教师和学生管理和监控教学过程的信息。这项工作旨在通过使用教育数据挖掘技术(MDE),根据从学习环境所获得的数据,从学习环境所获得的数据获得与学生表现相关的推论。从完成实验中,我们提出了一种基于教育挖掘数据的界面的架构模型,以帮助学生和教师在学科的过程中。

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