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Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education

机译：对技术，计算机自我效能感和计算机焦虑的态度是计算机支持教育的预测指标

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There is a large body of research regarding computer supported education, perceptions of computer self-efficacy, computer anxiety and the technological attitudes of teachers and teacher candidates. However, no study has been conducted on the correlation between and effect of computer supported education, perceived computer self-efficacy, computer anxiety and attitude to technology and which additionally explains their relationship to each other. This research is conducted in order to test the effect levels among the latent variables of attitude to technology, perceived computer self-efficacy, computer anxiety and the attitude toward doing computer supported education and these latent variables' ratios to each other. For this, eight hypotheses were developed in light of theoretical information by reviewing the literature. This research is done by using Technology Attitude Scale, Perceived Computer Self-Efficacy Scale, Computer Anxiety Scale and The Attitude Scale toward Applying Computer Supported Education. The participant group of the research consists of 471 pre-service teachers. Exploratory factor analyses of scales were analyzed via SPSS 16.0 software. For the confirmatory factor analyses of scales and the structural equation modeling, AMOS 17.0 software was used. The most significant finding of this study is that attitude to technology, perceived computer self-efficacy and computer anxiety are important predictors of teacher candidates' attitude toward using computer supported education.
机译：关于计算机支持的教育，对计算机自我效能感，计算机焦虑感以及教师和应聘者的技术态度的研究很多。但是，尚未进行有关计算机支持的教育的效果和相关性，感知到的计算机自我效能，计算机焦虑和对技术的态度之间的关系的研究，并且没有对它们之间的关系进行解释。进行这项研究的目的是测试对技术态度，潜在的计算机自我效能，计算机焦虑和对计算机支持教育的态度等潜在变量之间的影响程度，以及这些潜在变量之间的比率。为此，通过回顾文献，根据理论信息提出了八个假设。这项研究是通过使用技术态度量表，计算机自我效能感量表，计算机焦虑量表和计算机应用支持教育的态度量表来完成的。研究的参加者包括471名职前教师。通过SPSS 16.0软件对规模的探索性因素分析进行​​了分析。为了对比例尺和结构方程建模进行验证性因素分析，使用了AMOS 17.0软件。这项研究的最重要发现是，对技术的态度，对计算机的自我效能感和计算机焦虑感是教师候选人对使用计算机支持的教育态度的重要预测指标。

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