Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The paper investigates the intensity of (Social Networking Sites) SNSs use among the students of Jordanian universities. Four universities were involved in this study, while 727 undergraduate students respond to a questionnaire that measured their intensity of SNSs use. To answer research questions, the researchers used descriptive statistics, ANCOVA, Chi-Square, and Ttest. The data analyses revealed significant differences among students’ uses of SNSs. The variables consisted of university, faculty, gender, and year level. The study recommendation was the focus on integrating SNSs within learning management systems.
Hasan Al Shalabi. 2013. \u201cThe Intensity of Social Networks Group Use among the Students of Jordanian Universities\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 110
Country: Jordan
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Dr. Mustafa Jwaifell, Hasan Al-Shalabi, Swidan Andraws, Arafat Awajan, Adnan I. Alrabea (PhD/Dr. count: 1)
View Count (all-time): 235
Total Views (Real + Logic): 10006
Total Downloads (simulated): 2463
Publish Date: 2013 03, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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The paper investigates the intensity of (Social Networking Sites) SNSs use among the students of Jordanian universities. Four universities were involved in this study, while 727 undergraduate students respond to a questionnaire that measured their intensity of SNSs use. To answer research questions, the researchers used descriptive statistics, ANCOVA, Chi-Square, and Ttest. The data analyses revealed significant differences among students’ uses of SNSs. The variables consisted of university, faculty, gender, and year level. The study recommendation was the focus on integrating SNSs within learning management systems.
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