Assessment of learner satisfaction with asynchronous electronic learning systems
Information and Management
Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies
Information and Management
Expert Systems with Applications: An International Journal
Measuring e-learning systems success in an organizational context: Scale development and validation
Computers in Human Behavior
Critical success factors for e-learning acceptance: Confirmatory factor models
Computers & Education
A proposed model for measuring the aggregative risk degree of implementing E-learning ERP system
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
An integrated decision framework for evaluating and selecting e-learning products
Applied Soft Computing
A fuzzy ANP model for evaluating e-learning platform
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A Semiring-based study of judgment matrices: properties and models
Information Sciences: an International Journal
The role of readiness factors in E-learning outcomes: An empirical study
Computers & Education
A hybrid ANP evaluation model for electronic service quality
Applied Soft Computing
A service component based CAT system with SCORM for advanced learning effects
Multimedia Tools and Applications
Computers and Industrial Engineering
Hi-index | 12.05 |
The electronic learning (e-learning) has gradually become more and more important in today's school in Taiwan. Many colleges and universities offer distance e-learning courses or programs for students. An effective teaching or learning through a distance web e-learning system depends on many factors (or criteria). The analytic hierarchy process (AHP) model is suitable for dealing with the multi-criteria problems. This paper utilizes the consistent fuzzy preference relations (CFPR) in AHP model to evaluate these factors. The CFPR is computational simplicity and guarantees the consistence of decision matrices. Rating the criteria is important. An empirical example using CFPR in AHP model to find the weights is presented. The weight can point out which factor is important, especially when the time, manpower, and financial support are limited. The rating results can be directly used to evaluate the distance e-learning effectiveness and can provide teachers and decision-makers in schools important information for improving e-learning practice in the future.