Underlying structure of e-learning readiness among Palestinian secondary school teachers
This paper reports on the results of an exploratory factor analysis procedure applied on the e-learning readiness data obtained from a survey of four hundred and seventy-five (N = 475) teachers from secondary schools in Nablus, Palestine. The data were collected using a 23-item, self-developed Lik...
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Main Authors: | , , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
EDP Sciences
2016
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Subjects: | |
Online Access: | http://irep.iium.edu.my/55089/7/55089.pdf http://irep.iium.edu.my/55089/8/55089-Underlying%20Structure%20of%20E%C2%ADLearning%20Readiness%20among%20Palestinian%20Secondary_SCOPUS.pdf http://irep.iium.edu.my/55089/ http://www.matec-conferences.org/articles/matecconf/pdf/2016/19/matecconf_iccae2016_01011.pdf |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Summary: | This paper reports on the results of an exploratory factor analysis procedure applied on the e-learning
readiness data obtained from a survey of four hundred and seventy-five (N = 475) teachers from secondary schools in
Nablus, Palestine. The data were collected using a 23-item, self-developed Likert questionnaire measuring e-learning
readiness based on Chapnick's conception of the construct. Principal axis factoring (PAF) with Promax rotation
applied on the data extracted four distinct factors supporting four of Chapnick’s e-learning readiness dimensions,
namely technological, psychological, infrastructure, and equipment readiness. Together these four dimensions
explained 56% of the variance. A reliability analysis produced high internal consistency estimates ranging
between .81 (equipment readiness) and .91 (technological readiness) for the extracted factor structure. These findings
provide sound empirical support for the construct validity of the items and for the existence of these four factors that
measure e-learning readiness |
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