January 2012 Volume 15 Number 1 - Educational Technology ...

2 Drawing concept maps 6.71 (.000) .743 (.000)
3 Demonstrating the presentation of concept maps 7.68 (.000) .718 (.000)
4 Experience in learning nanotech improves my
knowledge
6.42 (.000) .731 (.000)
5 Inspires me to learn the related area
Application sub-scale: Cronbach’s α = 0.92
7.77 (.000) .770 (.000)
Acceptance item
number
Contents
1 Enjoyment 7.63 (.000) .698 (.000)
2 Value 6.50 (.000) .834 (.000)
3 Acceptance 7.44 (.000) .731 (.000)
4 Motivation 6.48 (.000) .751 (.000)
5 Satisfaction
Acceptance sub-scale: Cronbach’s α = 0.84
8.64 (.000) .623 (.000)
Assimilation
number
Contents
1 Teaching others 7.52 (.000) .696 (.000)
2 Apply skills and knowledge to present subjects 7.52 (.000) .715 (.000)
3 Apply skills and knowledge to future subjects 7.25 (.000) .772 (.000)
4 Solving life problems 6.88 (.000) .778 (.000)
5 Apply skills and knowledge to future projects
Assimilation sub-scale: Cronbach’s α = 0.89
The whole scale: Cronbach’s α = 0.94
6.18 (.000) .713 (.000)
Data analysis
The data of the relationship between CM and KT were analyzed in two ways: canonical correlation analysis and
multivariate analysis of variance (MANOVA).
Canonical correlation analysis
The use of canonical correlation analysis was appropriate for this study since it measures the overall relationship
between two sets of variables. The method is mainly descriptive, and the results obtained from the analysis provide
answers to the following questions: are the two sets of multiple variables related? And, if so, how strong is the
relationship? A canonical redundancy index helps measure the ability of a set of independent variables to account for
variation in a set of dependent variables. In this paper, performance of KT, including acquisition, communication,
application, acceptance, and assimilation were used as one set, while CM perceptions were used as the other set.
Multivariate analysis of variance
The canonical correlation between CM perception and KT performance was used to examine how different levels of
CM perception influence different stages of KT (acquisition, communication, application, acceptance, and
assimilation)..The data were also analyzed by MANOVA. The MANOVA analysis is appropriate when there are
multiple dependent variables as well as independent variables within the model which the researcher wishes to test.
Research results
Canonical correlation analysis was performed to assess the relationship between CM perception (CMP) and KT
performance (KTP). The analysis yielded two roots. We report only the results of the first function because the
second function is not significant. The first function, Rc = 0.81, Wilks’s λ = 0.28, F(10, 42) = 46.52, p < 0.001,
accounted for 65% of the common variance between CMP and KTP. The structure of the relationships between CMP
and KTP, together with their canonical correlations, is shown in Figure 3.
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