Modelling the factors that affect individuals' utilisation of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour. Yu, T. & Yu, T. British Journal of Educational Technology, 41(6):1003–1017, November, 2010. 00011doi abstract bibtex Understanding learners' behaviour, perceptions and influence in terms of learner performance is crucial to predict the use of electronic learning systems. By integrating the task-technology fit (TTF) model and the theory of planned behaviour (TPB), this paper investigates the online learning utilisation of Taiwanese students. This paper provides a better understanding of individual, technological and social factors regarding online learning system performance. A total of 870 students who were earlier introduced to e-learning were surveyed after a period of exposure to the system. The results of the research model were analysed using a structural equation modelling approach to verify 10 hypotheses; support was found for eight of them. This paper offers a new perspective on the mechanisms through the TTF and TPB model constructs, which facilitates e-learning learner performance and offers important implications for understanding learner performance in online learning environments. [ABSTRACT FROM AUTHOR] Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
@article{yu_modelling_2010,
title = {Modelling the factors that affect individuals' utilisation of online learning systems: {An} empirical study combining the task technology fit model with the theory of planned behaviour},
volume = {41},
issn = {00071013},
shorttitle = {Modelling the factors that affect individuals' utilisation of online learning systems},
doi = {10.1111/j.1467-8535.2010.01054.x},
abstract = {Understanding learners' behaviour, perceptions and influence in terms of learner performance is crucial to predict the use of electronic learning systems. By integrating the task-technology fit (TTF) model and the theory of planned behaviour (TPB), this paper investigates the online learning utilisation of Taiwanese students. This paper provides a better understanding of individual, technological and social factors regarding online learning system performance. A total of 870 students who were earlier introduced to e-learning were surveyed after a period of exposure to the system. The results of the research model were analysed using a structural equation modelling approach to verify 10 hypotheses; support was found for eight of them. This paper offers a new perspective on the mechanisms through the TTF and TPB model constructs, which facilitates e-learning learner performance and offers important implications for understanding learner performance in online learning environments. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)},
number = {6},
journal = {British Journal of Educational Technology},
author = {Yu, Tai-Kuei and Yu, Tai-Yi},
month = nov,
year = {2010},
note = {00011},
keywords = {College Students, DATA analysis, Internet in education, LITERATURE reviews, PERCEPTION, PLANNED behavior theory, SOCIAL factors, STRUCTURAL equation modeling, STUDENTS -- Psychology, TAIWAN},
pages = {1003--1017},
}
Downloads: 0
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