Examining Common and Specialized Soccer Content Knowledge and Demographic Variables of Chinese Physical Education Teachers

in Journal of Teaching in Physical Education

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Yaohui HeEast China Normal University

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Phillip WardEast China Normal University
The Ohio State University

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Xiaozan WangEast China Normal University
Shanghai Social Science Innovation

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Guang YangEast China Normal University
Shanghai Social Science Innovation

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Purpose: To examine the relationships among demographic variables, common content knowledge (CCK), and specialized content knowledge (SCK) of Chinese physical education teachers in teaching soccer. Methods: One hundred twenty-nine physical education teachers’ CCK was assessed using 27 multiple choice questions, and SCK was assessed using content maps using an SCK index score. The data were analyzed using descriptive statistics, and multiple regression analyses were conducted to determine the relationships to demographic variables as predictors of CCK and SCK. A Spearman test assessed the associations between variables. Results: For CCK, 88.4% of the teachers scored at or above 60% correct in the test. The teacher’s gender (β = 0.22, t = −2.53, p < .05) and the number of soccer workshops attended (β = 0.33, t = 2.96, p < .001) significantly predicted CCK. About 92.2% of the teachers had an SCK index score of <2.9. The number of soccer workshops attended (β = 0.31, t = 2.74, p < .05) and teaching rank significantly predicted the SCK score. There was no relationship found between CCK and SCK. Conclusions: For these participants, their preservice education and their professional development did not serve them well in teaching CCK and SCK.

He, Wang, and Yang are with the College of Physical Education and Health, East China Normal University, Shanghai, China. He is also with the Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, China. Wang and Yang are also with the Institute of Physical Education for Adolescents at Shanghai Social Science Innovation, Shanghai, China. Ward was a visiting professor at East China Normal University when these data were collected and is with the Department of Human Sciences, The Ohio State University, Columbus, OH, USA.

He (zhenfei826@163.com) is corresponding author.
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