five

Community of Inquiry Manuscript data.sav

收藏
DataCite Commons2025-05-01 更新2025-04-17 收录
下载链接:
https://auckland.figshare.com/articles/dataset/T_F_Community_of_Inquiry_Manuscript_data_sav/21601620/5
下载链接
链接失效反馈
官方服务:
资源简介:
Teachers’ online professional development (PD) has been valued as a crucial and effective way to promote teaching competencies. Forming a professional learning community that allows teachers to learn collectively has been recognized as a means to promote effective PD. Within this realm of research, the Community of Inquiry (CoI) framework was deemed a collaborative-constructivist process model that describes successful online learning experiences. The CoI has been associated with many other psychological and educational variables, such as learning achievement and sense of efficacy. This study exploits the CoI framework to assess teachers' online professional learning quality and explores its relationship with teachers’ self-efficacy and online professional learning achievement. 456 teacher participants from Chinese middle schools (439 valid cases with 139 males and 300 females) participated in our study. They responded to a questionnaire containing three separate instruments measuring their assessments of online learning quality (reflected by the CoI instrument score), sense of self-efficacy, and perceived learning achievement. Linear regression, PROCESS Macro mediation, and moderation analyses were run to answer the research questions. The findings of the study revealed a significant relationship between teachers’ online learning quality and their self-efficacy and learning achievement. The mediating roles of self-efficacy and learning achievement were also confirmed. The moderating role of time spent on receiving online professional learning was also recognized. Implications and future directions were discussed. Informed consent to participate was obtained from all individual participants included in the study. Informed consent for publication was obtained from all individual participants included in the study.
提供机构:
The University of Auckland
创建时间:
2023-01-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作