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Why don't all maths teachers use dynamic geometry software in their classrooms?

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Title: Why don't all maths teachers use dynamic geometry software in their classrooms?
Authors: Stols, Gerrit1 gerrit.stols@up.ac.za, Kriek, Jeanne2 kriekj@unisa.ac.za
Source: Australasian Journal of Educational Technology. 2011, Vol. 27 Issue 1, p137-151. 15p. 3 Diagrams, 10 Charts.
Subject Terms: *Teaching aids, *Mathematics teachers, *Computer software, Geometry, Planned behavior theory, Technology Acceptance Model, Diffusion of innovations theory
Abstract: In this exploratory study, we sought to examine the influence of mathematics teachers' beliefs on their intended and actual usage of dynamic mathematics software in their classrooms. The theory of planned behaviour (TPB), the technology acceptance model (TAM) and the innovation diffusion theory (IDT) were used to examine the influence of teachers' attitudes, subjective norms and perceived behavioural control on their intention to use dynamic mathematics software in their classrooms. The study adopted the co-relational research design, with both correlation statistics and regression analysis used to analyse the data. By using stepwise regression analysis, it was possible to identify the most important belief predictors and their weights for the different constructs. The results were verified by the use of partial least squares. This study found that beliefs about the perceived usefulness and beliefs about their level of technological proficiency are the most important predictors of teachers' intended and actual usage of the software. In this preliminary study the suggested simplified model sufficiently explains 15 (83.3%) of the 18 teachers adaption and use of dynamic mathematics software in their classrooms. [ABSTRACT FROM AUTHOR]
Copyright of Australasian Journal of Educational Technology is the property of Australasian Journal of Educational Technology (AJET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Australasian+Journal+of+Educational+Technology%22">Australasian Journal of Educational Technology</searchLink>. 2011, Vol. 27 Issue 1, p137-151. 15p. 3 Diagrams, 10 Charts.
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  Data: In this exploratory study, we sought to examine the influence of mathematics teachers' beliefs on their intended and actual usage of dynamic mathematics software in their classrooms. The theory of planned behaviour (TPB), the technology acceptance model (TAM) and the innovation diffusion theory (IDT) were used to examine the influence of teachers' attitudes, subjective norms and perceived behavioural control on their intention to use dynamic mathematics software in their classrooms. The study adopted the co-relational research design, with both correlation statistics and regression analysis used to analyse the data. By using stepwise regression analysis, it was possible to identify the most important belief predictors and their weights for the different constructs. The results were verified by the use of partial least squares. This study found that beliefs about the perceived usefulness and beliefs about their level of technological proficiency are the most important predictors of teachers' intended and actual usage of the software. In this preliminary study the suggested simplified model sufficiently explains 15 (83.3%) of the 18 teachers adaption and use of dynamic mathematics software in their classrooms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Australasian Journal of Educational Technology is the property of Australasian Journal of Educational Technology (AJET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.14742/ajet.988
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              Text: 2011
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