Self-regulation in Three Types of Online Interaction: How Does It Predict Online Pre-service Teachers’ Perceived Learning and Satisfaction?

被引:0
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作者
Mehmet Kara
Volkan Kukul
Recep Çakır
机构
[1] Amasya University,Department of Computer Technology
[2] Amasya University,Department of Computer Education and Instructional Technology
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关键词
Self-regulation in three types of online interaction; Online self-regulation; Satisfaction; Perceived learning; Online teacher training;
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摘要
The purpose of this study is to investigate online pre-service teachers’ self-regulation in three types of online interaction and learner outcomes: perceived learning and satisfaction. The data were collected from 372 pre-service teachers enrolled in an online teacher training program. Descriptive statistics and path analysis were used to answer the proposed research questions. The results show that online pre-service teachers have perceptions of self-regulation in three types of online interaction and learner outcomes at a moderate level. Their perceptions do not vary depending on the demographics of age, gender, and employment status, except for perceived learning. Females perceived higher scores than males for perceived learning. The path analysis indicates the relationships among self-regulation in three types of online interaction and learner outcomes. As consistent with the prior research, the results imply that the improved self-regulation for interaction results in improved learner outcomes of perceived learning and satisfaction. However, the role of learner demographics is not generally significant in this research context.
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页码:1 / 10
页数:9
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