基于 TPACK 框架的学生教师专业知识集群

P. Luik, M. Taimalu
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引用次数: 1

摘要

许多国家都面临着吸引不同背景的考生接受师范教育的局面。因此,师范生群体变得异质化。他们可能在年龄、以往经验、态度等背景方面存在差异,也可能在专业知识方面存在差异。本研究旨在根据 TPACK 框架描述学生教师群体,并根据背景数据比较这些群体的差异。样本包括 232 名学生教师,根据 TPACK 框架,通过 K-means 聚类分析确定了五个聚类。这些聚类在 TPACK 的强项和弱项方面存在差异,各聚类之间的学生教师背景数据也存在差异。结果表明,学生教师是一个异质群体。因此,师范教育需要灵活的学习途径。
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Professional Knowledge Clusters of Student Teachers Based on the TPACK Framework
Many countries face a situation where candidates with different backgrounds are being attracted to teacher education. Therefore, groups of student teachers have become heterogeneous. They may differ in terms of background including age, previous experience, attitudes, but also might vary in terms of professional knowledge. The aim of this study was to describe the clusters of student teachers according to the TPACK framework and compare how these clusters differ according to the background data. The sample consisted of 232 student teachers and K-means cluster analysis identified five clusters according to the TPACK framework. The clusters differed in strong and weak areas of TPACK and differences in student teachers’ background data were identified between the clusters. The results indicated student teachers as a heterogeneous group. Therefore, flexible learning pathways are needed in teacher education.
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