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Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 19
Year of Publication: 2014
Soheila Sadeghiyan
Dariush Noroozi
Marjan Maadi

Soheila Sadeghiyan, Dariush Noroozi and Marjan Maadi. Article: Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining. International Journal of Computer Applications 89(19):25-28, March 2014. Full text available. BibTeX

	author = {Soheila Sadeghiyan and Dariush Noroozi and Marjan Maadi},
	title = {Article: Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {19},
	pages = {25-28},
	month = {March},
	note = {Full text available}


In this paper, it is intend to implement four different algorithms in data mining (C5. 0, C&R tree, QUEST, CHAID) on the data related to the level of familiarity with computers and Internet. The goal of this paper is prediction of the effect of computer literacy and internet literacy on Digital literacy competence of individuals. To determine best predictive model, the accuracy of generated model is obtained. The prediction of Digital literacy competence shows the ability and skills of individuals to acquisition of new technologies, because using new technologies leads to reach performance improvement and higher motivations. Model of C&R tree with 73. 2%, has had the best accuracy. The data in this study are in the form of questionnaire and were taken from undergraduate students of Islamic Azad University of south Tehran branch. This paper uses master`s thesis data with the titles of the relationship between digital literacy and academic performance and progress motivation of students of graduate school of literature and Foreign languages of Islamic Azad university of south Tehran.


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