Predicting technology utilisation of learning management system among Malaysian polytechnic students
The major purpose of the current study is to identify the predicting factors, mediators and moderators towards effective technology use of Curriculum Information Document Online System (CIDOS) Learning Management System (LMS) among full-time undergraduate diploma students of Engineering Departmen...
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| Format: | Thesis |
| Language: | English |
| Published: |
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68018/1/FPP%202018%204%20IR.pdf http://psasir.upm.edu.my/id/eprint/68018/ |
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| Summary: | The major purpose of the current study is to identify the predicting factors, mediators
and moderators towards effective technology use of Curriculum Information
Document Online System (CIDOS) Learning Management System (LMS) among
full-time undergraduate diploma students of Engineering Department at Malaysian
Polytechnics. The theories underpinning this study are Theory Reasoned Action
(TRA), Technology Acceptance Model (TAM), Substitution, Augmentation,
Modification and Redefinition (SAMR) model and Adaptive Structuration Theory
(AST). There are six predicting factors involved; compatibility, application selfefficacy,
subjective norm, technological complexity, perceived usefulness and
perceived ease of use. Technology utilisation is a dependent variable which
encompasses of consistency of use, as well as quality of use. Genders and level of
integration are the moderators, meanwhile perceived usefulness and perceive ease of
use are classified as mediators.
A pilot test was implemented on 100 undergraduate technical students of Politeknik
Merlimau, Melaka (PMM) to measure the research instrument’s reliability. The value
of Cronbach’ s alpha obtained ranged from 0.828 to 0.933. For the measurement
model, Confirmatory Factor Analysis (CFA) was required to test the consistency of
construct and determine construct validity. The present study was carried out on 372
second-year students from five polytechnics of Malaysia (Premier and Conventional)
including Politeknik Ungku Omar (PUO), Politeknik Sultan Salahuddin Abdul Aziz
Shah (PSA), Politeknik Merlimau, Melaka (PMM), Politeknik Ibrahim Sultan (PIS)
and Politeknik Port Dickson (PPD). The sampling technique used was two-stage
cluster sampling.
The quantitative method with descriptive research was conducted by analysing the
statistics of mean, standard deviation, percentage and frequency. The statistical
analysis of Structural Equation Modelling (SEM), using AMOS Version 22, was
utilised. Based on the measurement model testing, among the 10 paths, 9 were
significant and only one was not. The 10 paths were: 1) compatibility positively
effects perceived usefulness (β=.516, p<0.001); 2) application self-efficacy has no a
significant effect on perceived usefulness (β=.105, p>0.05); 3) subjective norm
positively effects perceived usefulness (β=.143, p<0.05); 4) technological complexity
negatively effects perceived usefulness (β=-.165, p<0.01); 5) compatibility positively
effects perceived ease of use (β=.322, p<0.001); 6) application self-efficacy
positively effects perceived ease of use (β=.344, p<0.001); 7) subjective norm
positively effects perceived ease of use (β=.158, p<0.01); 8) technological
complexity negatively effects perceived ease of use (β=-.214, p<0.001); 9) perceived
usefulness positively effects technology utilisation (β=.265, p<0.001); and 10)
perceived ease of use positively effects technology utilisation (β=.343, p<0.001).
Based on the revised structural model, the main contribution for PU and PEOU was
pertained to compatibility (β=.516, p<.001; β=.322, p<.001). The outcome of
evaluation conceded that predictors TU could explain 67.7% of its variance. In the
interim, the leading contribution was ASE (β=.344, p<.001) and followed by PEOU
(β=.343, p<.001). The mediation test findings also revealed that among eight
mediation tests, six were not supported (no mediation), and two met full mediation.
The findings of mediation test revealed that PU does not mediate the influence of C
on PU; PU does not mediate the influence of ASE on TU; PU does not mediate the
influence of SN on TU; PU does not mediate the influence of TC on TU; PEOU does
not mediate the influence of C on TU; PEOU does mediate the influence of ASE on
TU; PEOU does not mediate the influence of SN on TU and PEOU does mediate the
influence of TC on TU. ASE fully mediates the influence of PEOU on TU and TC
fully mediates the influence of PEOU on TU. Gender fully moderates the
relationship between PU and TU since the standardized estimates for male is
significant and female is not significant. Level of integration partially moderates the
relationship PEOU and TU since the standardized estimates for Semester 3 and 4 are
both significant. |
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