7. Conclusions
Online e-Learning is an alternative to traditional face-to-face education. Many institutions implement e-Learning to meet students’ needs, especially those of non-traditional students with full time jobs. Since e-Learning is conducted using the Internet and World Wide Web, the learning environment becomes more complicated. Students’ initial perceived satisfaction with technology-based e-Learning will determine whether they will use the system continually. This research identifies critical factors influencing e-Learners’ satisfaction. An integrated model developed from previous studies consisting of thirteen factors in six dimensions is presented to guide research.
With a 45.7% response rate, a total of 295 valid questionnaires were collected. A stepwise multiple regression analysis was conducted to study the data. The results indicated that learners’ computer anxiety, instructor attitude toward e-Learning, e-Learning course flexibility, e-Learning course quality, perceived usefulness, perceived ease of use, and diversity in assessment are the critical factors affecting learners’ perceived satisfaction. Together, these seven factors are able to explain 66.1% of the variance of user satisfaction.
7. Conclusions
Online e-Learning is an alternative to traditional face-to-face education. Many institutions implement e-Learning to meet students’ needs, especially those of non-traditional students with full time jobs. Since e-Learning is conducted using the Internet and World Wide Web, the learning environment becomes more complicated. Students’ initial perceived satisfaction with technology-based e-Learning will determine whether they will use the system continually. This research identifies critical factors influencing e-Learners’ satisfaction. An integrated model developed from previous studies consisting of thirteen factors in six dimensions is presented to guide research.
With a 45.7% response rate, a total of 295 valid questionnaires were collected. A stepwise multiple regression analysis was conducted to study the data. The results indicated that learners’ computer anxiety, instructor attitude toward e-Learning, e-Learning course flexibility, e-Learning course quality, perceived usefulness, perceived ease of use, and diversity in assessment are the critical factors affecting learners’ perceived satisfaction. Together, these seven factors are able to explain 66.1% of the variance of user satisfaction.
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