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Teacher self-efficacy, academic self-efficacy, and computer self-efficacy as predictors of attitude toward applying computer-supported education

机译:教师自我效能感,学术自我效能感和计算机自我效能感是对应用计算机支持的教育的态度的预测指标

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There is a large body of research regarding teacher self-efficacy, academic self-efficacy, computer self efficacy, and attitude toward applying computer-supported education of teachers and prospective teachers. However, no study has been conducted on the correlation among the effects of teacher self efficacy, academic self-efficacy, computer self-efficacy, and attitude toward applying computer supported education and which additionally explains their relationships to one other. This research is conducted in order to test the effect levels among the latent variables of teacher self-efficacy, academic self-efficacy, computer self-efficacy, and attitude toward applying 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 Academic Self-Efficacy Scale, Teacher Self-Efficacy Scale, Computer Self-Efficacy Scale, and The Attitude Scale Toward Applying Computer-Supported Education. The participant group of the research consists of 323 prospective 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 20.0 software was used. The most significant finding of this study is that teacher self-efficacy, academic self-efficacy, and computer self-efficacy are important predictors of prospective teachers' attitude toward applying computer-supported education. (C) 2016 Elsevier Ltd. All rights reserved.
机译:关于教师的自我效能,学术的自我效能,计算机的自我效能以及对应用计算机支持的教师和准教师的态度的研究很多。但是,关于教师自我效能感,学术自我效能感,计算机自我效能感和对应用计算机支持的教育的态度之间的相关性尚未进行任何研究,并且不能相互解释它们之间的关系。进行这项研究是为了检验教师自我效能感,学术自我效能感,计算机自我效能感,对计算机支持的教育的态度以及这些潜在变量之间的比率之间的潜在变量之间的影响程度。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学术自我效能感量表,教师自我效能感量表,计算机自我效能感量表和对应用计算机支持的教育的态度量表进行的。研究的参与者组由323名准教师组成。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 20.0软件。这项研究的最重要发现是,教师的自我效能感,学术自我效能感和计算机自我效能感是未来教师对应用计算机支持的教育态度的重要预测指标。 (C)2016 Elsevier Ltd.保留所有权利。

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