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Educational data mining has received much attention worldwide due to its significance in the education domain. Among a large number of the educational data mining tasks, early in-trouble student prediction is a popular one. This task focuses on identifying the students who are at risk in their study as soon as possible before the end of the permitted period of study time. For early detection, data...
Student classification is one of the popular educational data mining tasks to early predict in-trouble students in an educational system for appropriate and timely support. Besides, an academic credit system is nowadays widely-used all over the world due to its flexibility in order that teaching and learning activities can be efficiently conducted. Nevertheless, its flexibility might lead to the heterogeneity...
To early detect in-trouble students in an academic credit system has been emerging in the educational data mining research arena. This problem has been taken into consideration with a multi-class educational data classification task. Although many existing supervised learning algorithms are available and able to provide us with many acceptable classification models, the interpretability of these models...
Data clustering is one of the popular tasks recently used in the educational data mining arena for grouping similar students by several aspects such as study performance, behavior, skill, etc. Many well-known clustering algorithms such as k-means, expectation-maximization, spectral clustering, etc. were employed in the related works. None of them has taken into consideration the incompleteness of...
Educational data classification is an educational data mining task which classifies our students based on their study performance. Although many data classification techniques and methods are nowadays available, educational data classification is full of challenges emergent in an academic credit system. One of the challenges often encountered in educational data classification is data incompleteness...
Educational data mining is emerging in the data mining research arena. Despite an applied field of data mining techniques and methods, educational data mining is full of challenges that have not been completely resolved. Especially data classification in an academic credit system is a very tough task which must deal with imbalanced issues and missing data on the technical side and tackle the flexibility...
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