자연주의적 탐구조사(Naturalistic Inquiry)

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Principles and Practice of Structural Equation Modeling (2nd ed.)

The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized to predict their actual use of Facebook. Data were analysed using structural equation modelling and the results showed that perceived usefulness (PU), attitude towards technology use (ATU), and EA had direct and significant influences on actual use, while perceived ease of use (PEU) was an indirect determinant of Facebook use. EA has direct and significant influences on all core variables in the TAM: PU; PEU; ATU; and actual use. Together, the PU, ATU, and EA explained 35.1% of the variance in students' usage of Facebook. Relatively, the variation in ATU and PU accounted by their determinants amounted to 55.5% and 50.2%, respectively.

Modelling Facebook Usage among University Students in Thailand: The Role of Emotional Attachment in an Extended Technology Acceptance Model.

Technology Acceptance in Education

This study aims to examine the variables that influence Serbian pre-service teachers’ intention to use technology to teach mathematics. Using the technology acceptance model (TAM) as the framework, we developed a research model to include subjective norm, knowledge of mathematics, and facilitating conditions as external variables to the TAM. In addition, we investigated the influence of gender and age on the behavioural intention to use technology. With data gathered from 313 participants using a survey questionnaire, structural equation modelling (SEM) analysis revealed that the proposed model in this study has a good fit and accounted for 5.4% of the variance in the behavioural intention to use technology. Pre-service teachers’ attitudes towards computers were found to be the only factor with direct influence on the intention to use technology. All other factors were found to have an indirect influence. Using multiple indicators, multiple causes (MIMIC) modelling, pre-service teachers’ intention to use technology was not found to be significantly different by age and gender. Various contributions to research and implications for teacher training are discussed.

/pdf/modelling-the-intention-to-use-technology-for-teaching-2p8jajynq8.pdf

Modelling the intention to use technology for teaching mathematics among pre-service teachers in Serbia

Purpose – The purpose of this study is to assess the efficiency of the technology acceptance model (TAM) to explain pre‐service teachers' intention to use technology in Turkey.Design/methodology/approach – A total of 197 pre‐service teachers from a Turkish university completed a survey questionnaire measuring their responses to four constructs which explain their intention to use technology: attitude towards computer use, perceived usefulness, and perceived ease of use. A structural equation modeling (SEM) approach was employed for modeling and data analysis.Findings – Results revealed that the TAM is an efficient model to explain the intention to use technology of Turkish pre‐service teachers. The proportion of variance explained in pre‐service teachers' intention to use technology by its antecedents was 51 percent. In addition, four out of five hypotheses were supported in this study. Overall, the data in this study provided support that the TAM is a fairly efficient model with a potential to help in un...

Efficiency of the technology acceptance model to explain pre‐service teachers' intention to use technology: A Turkish study

This article explores Chinese English as a Foreign Language (EFL) teachers’ attitudes toward technology use and the factors that influence their technology acceptance. A qualitative study was condu...

https://journals.sagepub.com/doi/pdf/10.1177/0735633117746168

Timothy Teo

Papers

Modelling Facebook Usage among University Students in Thailand: The Role of Emotional Attachment in an Extended Technology Acceptance Model.

Technology Acceptance in Education

Modelling the intention to use technology for teaching mathematics among pre-service teachers in Serbia

Efficiency of the technology acceptance model to explain pre‐service teachers' intention to use technology: A Turkish study

Factors Affecting Chinese English as a Foreign Language Teachers’ Technology Acceptance: A Qualitative Study: