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Erschienen in:
On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Student Acceptance and Attitude Towards Using 3D Virtual Learning Spaces

verfasst von : Hamadiatul Hayati Abdul Hamid, Zulhilmi Ahmad Sherjawi, Saiful Omar, Somnuk Phon-Amnuaisuk

Erschienen in: Computational Intelligence in Information Systems

Verlag: Springer International Publishing

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Abstract

The aim of this paper is to investigate the factors influencing student’s acceptance and attitude towards using 3D virtual learning spaces for education. Extended Technology Acceptance Model has been utilized as its hypothetical premise by incorporating self-efficacy and perceived enjoyment as new external variables. The model is tested through a survey administered to 85 students who took an interest in using the 3D virtual learning spaces. We conducted a regression analysis to examine the potential influence of independent variables on the acceptance and attitude towards using 3D virtual learning spaces. Our result showed that attitude towards using was the significant influence on behavior intention to use. In addition, the reconciliation of self-efficacy and perceived enjoyment are also significant antecedents to perceived ease of use and perceived usefulness. This study confirms that self-efficacy, perceived enjoyment, perceived ease of use, and perceived usefulness are important variables of acceptance and attitude towards using 3D virtual learning spaces.

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Vorheriges Kapitel An Ambient Agent Model for a Reading Companion Robot
Nächstes Kapitel Class Noise Detection Using Classification Filtering Algorithms
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Metadaten
Titel
Student Acceptance and Attitude Towards Using 3D Virtual Learning Spaces
verfasst von
Hamadiatul Hayati Abdul Hamid
Zulhilmi Ahmad Sherjawi
Saiful Omar
Somnuk Phon-Amnuaisuk
Copyright-Jahr
2017
Buch
Computational Intelligence in Information Systems

Print ISBN: 978-3-319-48516-4

Electronic ISBN: 978-3-319-48517-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-48517-1_10

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