Sep 8, 2022 · This article presents a data mining approach conceived to identify students at retention risk in a course of Intro to Computer Programming as ...
Sep 27, 2022 · This article presents a data mining approach conceived to identify students at retention risk in a course of Intro to Computer Programming as ...
... Educational data mining to support identification and prevention of academic retention and dropout: a case study in introductory programming Baixar Baixar PDF.
EDM methods can provide educators and students with valuable insights into the education process, resulting in suitable actions and decisions that improve ...
(2009) analyzed the results of the educational data mining case study aimed at predicting the Electrical Engineering students drop out. Their experimental ...
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Educational Data Mining (EDM) and Learning Analytics (LA) have been widely adopted for knowledge discovery from educational data sources, improving the teaching ...
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses.
The main aim of this review is to identify studies which uses educational data mining techniques to predict university dropout in traditional courses.
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Educational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational ...
Mar 3, 2022 · This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students.