Search results

The purpose of this paper is to explore the effects of personality traits on teachers’ technology acceptance.

To this end, a demographic information survey, Five-Factor inventory, and technology acceptance measure were used for data collection. The data were analyzed via structural equation modeling.

According to the findings, conscientiousness has no significant effect on behavioral intention (BI) whereas openness and extraversion have positive indirect effects. On the other hand, agreeableness and neuroticism have negative indirect effects on BI. It was seen that the developed model explains 70 percent of BI, 77 percent of attitude toward use, 42 percent of perceived usefulness, 64 percent of perceived ease of use, and 15 percent of computer self-efficacy (CSE). It was revealed that CSE mediates the indirect effects of different personality traits on these variables.

In this regard, highlighting the conveniences to be brought by using Tablet PCs and equipping teachers with competencies to use relevant technologies during teacher training and in-service training may be effective in developing BI to use Tablet PCs among teachers.

The present study is different from previous studies in that it examines more than one technology through more than one measurement, takes personality as the predictor of technology use tendencies, and focuses on causal relationships between technology use and personality.

The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers’ Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles.

Structural equation modeling approach was used to analyze an extended TAM that represents the relationship between the eight constructs and cognitive style. Group Embedded Figures Test and technology acceptance measure were used as data collection tools. The study was conducted with 129 pre-service teachers.

The results indicate that perceived ease of use (PEU) influences behavioral intention (BI) to use Edmodo indirectly through attitude toward Edmodo use and perceived usefulness (PU). Technological complexity and facilitating conditions influence BI to use indirectly through PU and PEU, respectively. Thus, the extended TAM is a parsimonious model explaining 75, 72, and 82 percent of the endogenous variable (BI) for the whole sample, for the field dependent sample, and for the field independent sample, respectively.

This paper addresses to determine the BI of pre-service teachers regarding Edmodo, which is an innovative tool, based on cognitive styles.

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.

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.

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 understanding technology acceptance pre‐service teachers in Turkey.

The TAM is a well‐tested and validated model to explain the intention to use technology. However, information on its cross‐cultural validity is limited. This study validated the TAM on a sample of pre‐service teachers in Turkey and the results provided initial support for the cross‐cultural validity of the TAM.