Data Mining Approaches on Detection of Students' Academic Failure and Dropout: A Brief Survey

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Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Data Management
Format: PDF
Educational Data Mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. Exams failure among school students has long fed a large number of debates, many education experts seeking to comprehend and explicate it, and many statisticians have tried to predict it. Understanding, predicting and preventing the academic failure are complex and continuous processes anchored in past and present information collected from scholastic situations and students' surveys, but also on scientific research based on data mining technologies.
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