The Refined Consensus Model of Pedagogical Content Knowledge (PCK): Detecting Filters between the Realms of PCK

被引:10
|
作者
Behling, Franziska [1 ]
Foertsch, Christian [1 ]
Neuhaus, Birgit J. [1 ]
机构
[1] Ludwig Maximilians Univ Munchen, Fac Biol, Biol Educ, D-80797 Munich, Germany
来源
EDUCATION SCIENCES | 2022年 / 12卷 / 09期
关键词
refined consensus model (RCM); pedagogical content knowledge (PCK); language-sensitive biology instruction; biology education; PROFESSIONAL VISION; TEACHERS; MATHEMATICS; LANGUAGE; PRESERVICE; COMPETENCE; EDUCATION;
D O I
10.3390/educsci12090592
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this article, we analyse potential filters that moderate the transformation process between the realms of PCK defined in the refined consensus model of pedagogical content knowledge. We tested 58 preservice biology teachers in a 15-week one-group pretest/post-test design. To identify filters between collective PCK (cPCK) and personal PCK (pPCK), we set up moderation models with pretest pPCK as an independent variable, post-test pPCK as a dependent variable, and motivational orientations or professional values as moderator variables. To identify filters between pPCK and enacted PCK (ePCK), we set up moderation models with post-test pPCK as an independent variable, ePCK as a dependent variable, and noticing or knowledge-based reasoning as moderator variables. We did this specifically with a focus on language in biology education. We found that only the variable knowledge-based reasoning had a role as a filter. It moderates the transformation process between pPCK and ePCK (moderation analysis: F(3,19) = 10.40, p < 0.001, predicting 25.72% of the variance). In future studies, other filters should be identified.
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页数:21
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