Activate interaction relationships between students acceptance behavior and e-learning

Authors:
Fong-Ling Fu;Hung-Gi Chou;Sheng-Chin Yu
Affiliations:
Department of Information Management, National Cheng-Chi University, Taipei, Taiwan;Department of Information Management, National Cheng-Chi University, Taipei, Taiwan;Department of Business Administration, Tung-Nan Technology Institute, Taipei, Taiwan
Venue:
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Year:
2007

Citing 6
Cited 2

User acceptance of computer technology: a comparison of two theoretical models

Management Science
Extending the TAM for a World-Wide-Web context

Information and Management
Factors influencing the usage of websites: the case of a generic portal in The Netherlands

Information and Management
Digital Game-Based Learning

Digital Game-Based Learning
Measuring information systems service quality: SERVQUAL from the other side

MIS Quarterly
Towards an understanding of the behavioural intention to use a web site

International Journal of Information Management: The Journal for Information Professionals

Developing and validating a rigorous and relevant model of VLE success: a learner perspective

EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Design characteristics of virtual learning environments: state of research

Computers & Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

The purpose and characteristics of e-learning are different from other Web applications. This paper uses an extended Technology Acceptance Model (TAM) to explain the motivation, attitude and acceptance behind participants of e-learning. The factors that determine Web quality include the external variables: system functionality, interface design, pedagogic and contents, as well as community. Perceived enjoyment was also added to this model as a factor. The empirical results indicated that the extended TAM explains the acceptability of on-line learning systems with high reliability, validity, and model fitness. All "beliefs" (user perceptions) - perceived usefulness, ease of use, and enjoyment - are good predictors of attitude and acceptance. Pedagogic, and content as well as community are important external factors that predict e-learning acceptance.