MATEC Web Conf.
Volume 71, 2016The International Conference on Computing and Precision Engineering (ICCPE 2015)
|Number of page(s)||5|
|Section||Computer and Information Design and Analysis Technologies|
|Published online||02 August 2016|
Identify User’s Satisfaction from Platform Using Behavior
1 National Kaohsiung Normal University, Taiwan, R.O.C.
2 Taipei College of Maritime Technology, Taiwan, R.O.C.
a Corresponding author: firstname.lastname@example.org
The purpose of this study was to verify a model of user’s satisfaction of an e-learning environment based upon platform using behaviors. This is a non-experimental study. The data was collected from system management logs and users satisfaction survey after learning service. Total 314 users were invited in this study. First, theory model was identified. Second, the satisfaction survey results were prepared. Third, the behavior data of each survey subject were prepared. A CFA procedure were conducted to verify whether the data fits into the model. The model fit is positive with χ2 = 2.06, p-value=.151, df= 1, RMSEA=.058. The proposed two-factor theory model with simple structure fit the data. The love e-learning and satisfaction of e-learning factors are significantly supporting the hypothesis of a relationship between the factors. The findings suggested that identifying satisfaction from behavior is possible.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.