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Comparing classification methods for predicting distance students' performance
Published on 2011-11-114391 Views
Virtual teaching is constantly growing and, with it, the necessity of instructors to predict the performance of their students. In response to this necessity, different machine learning techniques can
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Presentation
Comparing classification methods for predicting distance students' performance00:00
Contents00:28
Introduction to Educational DataMining (EDM)01:57
Research in EDM at University of Cantabria: previous work02:52
Comparing classifiers to predict the success of e-learning students07:25
Related work09:03
"Introduction to Multimedia" course10:03
Datasets and attributes10:55
Algortihms13:45
Results: Mu091016:09
Results: Mu071018:21
Results: Mu0910S19:26
New Approach: pre-procesing with classifiers21:22
Results with the pre-processing algorithm22:55
Results with the pre-processing algorithm: another approach23:35
Results with the pre-processing algorithm: another approach (more)25:00
Conclusion and Future Work26:51