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Journal ArticleDOI

Factors influencing teachers' intention to use technology: Model development and test

Timothy Teo
- 01 Dec 2011 - 
- Vol. 57, Iss: 4, pp 2432-2440
TLDR
In this article, five variables (perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, and attitude towards use) and behavioural intention to use technology were used to build a research model and structural equation modelling was used for parameter estimation and model testing.
Abstract
Among the key players in any effective integration of technology in teaching and learning is the teacher. Despite the research that has been conducted to examine the factors that explain teachers' intention to use technology, few have developed a model to statistically explain the interactions among these factors and how they influence teachers' intention to use technology. Five variables (perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, and attitude towards use) and behavioural intention to use technology were used to build a research model in this study and structural equation modelling was used for parameter estimation and model testing. Self-reported data were gathered from 592 teachers from schools in Singapore. Results revealed a good model fit and of the nine hypotheses formulated in this study, eight were supported. Subjective norm was not found to be a significant influence on teachers' intention to use technology while the other four variables were.

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Citations
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Journal ArticleDOI

The unified theory of acceptance and use of technology (UTAUT): a literature review

TL;DR: A systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT) and indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT.
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Explaining the intention to use technology among university students: a structural equation modeling approach

TL;DR: Examining the factors that an influence higher education students’ intention to use technology showed that perceived usefulness and attitude toward computer use were significant determinants of the intention toUse technology, while perceived ease of use influenced intention to Use technology through attitude towards computer use.
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Explaining the Intention to Use Technology among Student Teachers: An Application of the Theory of Planned Behavior (TPB)

TL;DR: In this paper, the authors examined pre-service teachers' self-reported intention to use technology by employing the Theory of Planned Behavior (TPB) as the research framework, and found that attitude toward usage and subjective norms were significant predictors of behavioral intention of using technology while perceived behavioral control was not.
Journal ArticleDOI

Factors Impacting Teachers' Adoption of Mobile Learning.

TL;DR: In this article, the authors proposed and tested a new model that extends the technology acceptance model (TAM) with three new variables: digital literacy, ICT anxiety, and ICT teaching selfefficacy.
References
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Book

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TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
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The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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