2022
DOI: 10.3390/su14138195
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An Exploration of a Reflective Evaluation Tool for the Teaching Competency of Pre-Service Physical Education Teachers in Korea

Abstract: The purpose of this study was to develop an evaluation tool that could help pre-service teachers develop their teaching skills. As for the research method, the Delphi technique was used to collect opinions from physical education professor evaluation experts. The survey was conducted three times and various opinions of experts were collected and analyzed. The newly constructed evaluation tool consists of 46 questions for class preparation (the creation of the learning environment), the introduction (routine ac… Show more

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Cited by 5 publications
(5 citation statements)
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“…After all class demonstrations, we evaluated the videos of class demonstrations by pre-service teachers in the classroom in the 14th session. The class with the best systematic plan and operation was selected and then evaluated by three experienced PE teachers, using the pre-service PE teacher teaching competency evaluation tool [23]. The specific evaluation tool item standards are shown in Table 1.…”
Section: Data Collectionmentioning
confidence: 99%
See 1 more Smart Citation
“…After all class demonstrations, we evaluated the videos of class demonstrations by pre-service teachers in the classroom in the 14th session. The class with the best systematic plan and operation was selected and then evaluated by three experienced PE teachers, using the pre-service PE teacher teaching competency evaluation tool [23]. The specific evaluation tool item standards are shown in Table 1.…”
Section: Data Collectionmentioning
confidence: 99%
“…Our study aimed to evaluate class demonstrations conducted by pre-service PE teachers and identify their level of practical teaching knowledge. We selected videos of class demonstrations by pre-service PE teachers conducted in PE teaching method and evaluated these using the teaching competency evaluation tool developed by Kim and Kwak [23]. Specifically, we aimed to compare the evaluation results of pre-service PE teachers and field teachers to identify their class observation skills.…”
Section: Introductionmentioning
confidence: 99%
“…Autoencoder (AE) networks are used very frequently in anomalous-behavior detection for constantfeature learning, and in the setting of unsupervised methods, AE is a powerful tool for processing highdimensional data. Kim & Kwak (2022) designed a generic framework where the overall architecture is a deep autoencoder with parameter-density estimation used to improve the memory efficiency and minimize the reconstruction error of normal samples, where the parameter-density estimation learns the probability distribution of potential representations through an autoregressive process joint optimization of reconstruction errors and probability distributions to finally obtain anomaly scores. Chiew et al (2019) use two-dimensional human skeletal trajectories to detect abnormal events associated with human behavior.…”
Section: Learning Based On Constant Featuresmentioning
confidence: 99%
“…Education development is the cornerstone of social development, the development of compulsory education is the top priority, and balanced development and its development of strategic tasks is the current strategic choice for the development of education, is the implementation of the scientific concept of development, the inevitable requirements of building a harmonious society [1][2][3].…”
Section: Introductionmentioning
confidence: 99%
“…Fangling Yang, Meiying Ni and Mei Liu. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”
mentioning
confidence: 99%