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- W1971977125 abstract "Traditional assessment approaches are still being used in distance education environments. Positive changes have been experienced on dimensions of user, management and teacher in distance education systems at each passing day. In addition to these positive changes, new approaches to be used at the evaluation of distance education are emerging. Each of these approaches is an algorithm. In this study, the algorithms to be used at the evaluation of distance education platforms are analyzed and compared. Distance education algorithms as K-means, Apriori, C45, Support Vector Machines (SVM), KNN and Naive Bayes are created the universe and sample of this research. As a result, it is determined that which algorithms can be effective at analyzing of the student behavior, dimension of management and giving more impressive decision of the teachers." @default.
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- W1971977125 date "2010-01-01" @default.
- W1971977125 modified "2023-09-24" @default.
- W1971977125 title "Using algorithms for evaluation in web based distance education" @default.
- W1971977125 cites W2159042886 @default.
- W1971977125 doi "https://doi.org/10.1016/j.sbspro.2010.12.399" @default.
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