TY - JOUR
T1 - Critical success factors for e-learning acceptance
T2 - Confirmatory factor models
AU - Selim, Hassan M.
N1 - Funding Information:
This research was funded by Research Affairs at UAE University under Grant #05-4-11/02.
Funding Information:
My thanks and appreciation to the Research Affairs at UAE University for funding this research. The support of all the students involved in this research is gratefully acknowledged.
PY - 2007/9
Y1 - 2007/9
N2 - E-learning, one of the tools emerged from information technology, has been integrated in many university programs. There are several factors that need to be considered while developing or implementing university curriculums that offer e-learning based courses. This paper is intended to specify e-learning critical success factors (CSFs) as perceived by university students. The published e-learning critical success factors were surveyed and grouped into 4 categories namely, instructor, student, information technology, and university support. Each category included several measures. The categorization was tested by surveying 538 university students. The results revealed 8 categories of e-learning CSFs, each included several critical e-learning acceptance and success measures. The level of criticality of each measure was represented by its validity coefficient. Confirmatory factor modeling approach was used to assess the criticality of the measures included in each CSF category.
AB - E-learning, one of the tools emerged from information technology, has been integrated in many university programs. There are several factors that need to be considered while developing or implementing university curriculums that offer e-learning based courses. This paper is intended to specify e-learning critical success factors (CSFs) as perceived by university students. The published e-learning critical success factors were surveyed and grouped into 4 categories namely, instructor, student, information technology, and university support. Each category included several measures. The categorization was tested by surveying 538 university students. The results revealed 8 categories of e-learning CSFs, each included several critical e-learning acceptance and success measures. The level of criticality of each measure was represented by its validity coefficient. Confirmatory factor modeling approach was used to assess the criticality of the measures included in each CSF category.
KW - Confirmatory factor model
KW - Distance education
KW - E-learning
KW - Structured equation modeling
UR - http://www.scopus.com/inward/record.url?scp=34248642274&partnerID=8YFLogxK
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U2 - 10.1016/j.compedu.2005.09.004
DO - 10.1016/j.compedu.2005.09.004
M3 - Article
AN - SCOPUS:34248642274
SN - 0360-1315
VL - 49
SP - 396
EP - 413
JO - Computers and Education
JF - Computers and Education
IS - 2
ER -