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

by Soheila Sadeghiyan, Dariush Noroozi, Marjan Maadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 19
Year of Publication: 2014
Authors: Soheila Sadeghiyan, Dariush Noroozi, Marjan Maadi
10.5120/15741-4696

Soheila Sadeghiyan, Dariush Noroozi, Marjan Maadi . Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining. International Journal of Computer Applications. 89, 19 ( March 2014), 25-28. DOI=10.5120/15741-4696

@article{ 10.5120/15741-4696,
author = { Soheila Sadeghiyan, Dariush Noroozi, Marjan Maadi },
title = { Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 19 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number19/15741-4696/ },
doi = { 10.5120/15741-4696 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:41.896584+05:30
%A Soheila Sadeghiyan
%A Dariush Noroozi
%A Marjan Maadi
%T Extracting Knowledge Concerning Digital Literacy by using a Predictive Model in Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 19
%P 25-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining clustering Digital literacy competence internet literacy.

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