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Study of an Adaptive Web Based E-Learning System through SVM


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1 Informatics & Computational Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan, India
 

In this article we are presenting machine learning mechanism through Support Vector Machine (SVM). Through SVM the automatic learning task on various types of learners will analyze. SVM is another technique in machine learning and it’s also helpful for analysis of learner’s knowledge level. SVM aims at facilitating searching and organizing learning objects. During an evaluation period, the SVM models are used for the classification of different learning objects according to the different parameters of SVM like correct rate, support vectors, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood value, negative likelihood value and prevalence. Through the parameters SVM models can also analyze learner’s knowledge level category and Adaptive Web Based E-Learning System [39] can perform accordingly.

Keywords

Adaptive Web Based E-Learning System (AWBES), SVM.
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  • Study of an Adaptive Web Based E-Learning System through SVM

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Authors

Pooja Shrimali
Informatics & Computational Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan, India

Abstract


In this article we are presenting machine learning mechanism through Support Vector Machine (SVM). Through SVM the automatic learning task on various types of learners will analyze. SVM is another technique in machine learning and it’s also helpful for analysis of learner’s knowledge level. SVM aims at facilitating searching and organizing learning objects. During an evaluation period, the SVM models are used for the classification of different learning objects according to the different parameters of SVM like correct rate, support vectors, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood value, negative likelihood value and prevalence. Through the parameters SVM models can also analyze learner’s knowledge level category and Adaptive Web Based E-Learning System [39] can perform accordingly.

Keywords


Adaptive Web Based E-Learning System (AWBES), SVM.

References