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Data Mining Visualization Based on Physical Education Teacher Training Related Research Literature Atlas Analysis

Weicheng Ma

Abstract


Physical education teachers are not only the executor of the school sports reform policy implementation but are also important factors in ensuring the quality of teaching. The purpose of this article: cite space software was used to conduct data mining on 284 literature related to PE teacher training to extract deep and valuable knowledge and rules. In 1992, the fi rst paper on PE teacher training was made available in the core journal. In the 29 years to 2021, there were four peaks in the number of papers published annually. It has formed scientifi c research institutions with normal colleges as the main body. It formed an interdisci-plinary research team consisting of Ji Liu, Yin Zhi Hua, Wang Xiao Zan, Huang Han sheng, Fang Qian Hua, Wang Jia Hong and others. These organizations and team members are mainly situated in central China, the political, economic and cultural center of China. Through the drawing of “physical education,” “school physical education,” “physical education teacher education,” “phys-ical education,” “teacher training mode,” “physical education teacher qualifi cation,” and other aspects of high-frequency keywords co-occurrence map and statistical table, is the current research hotspot of physical education teacher training in China.

Keywords


Data mining; Knowledge visualization; Physical education teacher training; Bibliographic analysis

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References


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DOI: http://dx.doi.org/10.18686/ahe.v7i9.8090

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