Issue |
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
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Article Number | 01011 | |
Number of page(s) | 5 | |
Section | Computer and Information technologies | |
DOI | https://doi.org/10.1051/matecconf/20165601011 | |
Published online | 26 April 2016 |
Underlying Structure of E-Learning Readiness among Palestinian Secondary School Teachers
1 Kulliyyah of Education, International Islamic University Malaysia, 53100 KL, Malaysia
2 Faculty of Engineering & Information Technology, An Najah National University Nablus, Palestine
3 Education Department, Al Ain University of Science and Technology, United Arab Emirates
4 Faculty of Economics & Social Sciences, An Najah National University Nablus, Palestine
5 Faculty of Islamic Civilization, Universiti Teknologi Malaysia, Jalan Semarak, 54100 Kuala Lumpur Malaysia
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.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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