Local applied universities aim to cultivate applied and high-quality professional talents in the local area, and the key to this goal lies in the practical teaching ability of teachers. However, while current universities emphasize practical teaching, they overlook the practical teaching ability of teachers. The analysis of the teaching ability of school teachers is more complex, as it may affect the teaching ability of teachers and require analysis of various characteristic data of teachers, such as age, family, personality, graduation institution, etc. Therefore, for the quantitative analysis of the teaching ability of university teachers, experiments require a large amount of data to construct mathematical models, and a single machine algorithm may encounter the problem of high data dimensions. This article used PCA (principal component analysis) technology to analyze the importance of various indicators that affect the teaching ability of physical education teachers in local universities, reducing the data dimension of clustering analysis algorithm. Then, K-means algorithm was used to cluster the teaching ability of physical education teachers. The experimental results showed that the average running time of PCA-K-mean on the dataset was 0.345 seconds, which was less than the K-mean algorithm.

Yuan Shao. Applying PCA and Clustering Algorithm to Analyze the Current Situation of Teaching Ability of Physical Education Teachers in Local Universities. International Journal of Educational Innovation and Science (2024), Vol. 5, Issue 1: 20-28. https://doi.org/10.38007/IJEIS.2024.050103.

[1] Al-Momani M O, Jawarneh R S. The degree of availability of professional teaching competencies for physical education teachers in Jordan. Jurnal Pendidikan Kesehatan Rekreasi, 2022, 8(2): 272-283.

[2] Ulaboevich B G. Improving the Effectiveness of the Method of Conducting Physical Education Classes for Students of Grades 5-9 in Hot Climates. ASEAN Journal of Physical Education and Sport Science, 2022, 1(1): 33-42.

[3] de Bruijn A G M, Mombarg R, Timmermans A C. The importance of satisfying children’s basic psychological needs in primary school physical education for PE-motivation, and its relations with fundamental motor and PE-related skills. Physical Education and Sport Pedagogy, 2022, 27(4): 422-439.

[4] Wallace J, Scanlon D, Calderón A. Digital technology and teacher digital competency in physical education: a holistic view of teacher and student perspectives. Curriculum Studies in Health and Physical Education, 2023, 14(3): 271-287.

[5] Sanjar U, Doston H. Creativity in Improving Professional and Pedagogical Skills of Physical Education Teachers. International Journal Of Research In Commerce, It, Engineering And Social Sciences ISSN: 2349-7793 Impact Factor: 6.876, 2022, 16(10): 60-67.

[6] Mockler N. Teacher professional learning under audit: Reconfiguring practice in an age of standards. Professional development in education, 2022, 48(1): 166-180.

[7] Craig S L, Smith S J, Frey B B. Professional development with universal design for learning: Supporting teachers as learners to increase the implementation of UDL. Professional Development in Education, 2022, 48(1): 22-37.

[8] Lander N, Lewis S, Nahavandi D, et al. Teacher perspectives of online continuing professional development in physical education. Sport, Education and Society, 2022, 27(4): 434-448.

[9] Maher A J, Fitzgerald H. The culture of special schools: Perceptions of the nature, purpose and value of physical education. Educational Review, 2022, 74(4): 773-787.

[10] Apelmo E. What is the problem? Dis/ability in Swedish physical education teacher education syllabi. Sport, Education and Society, 2022, 27(5): 529-542.

[11] Neca P, Borges M L, Pinto P C. Teachers with disabilities: A literature review. International Journal of Inclusive Education, 2022, 26(12): 1192-1210.

[12] Daharis D, Gazali N, Elra Perdima F, et al. A scientometric review of global research on technology in physical education. Journal Sport Area, 2023, 8(1): 1-13.

[13] Baena-Morales S, Prieto-Ayuso A, Merma-Molina G, et al. Exploring physical education teachers’ perceptions of sustainable development goals and education for sustainable development. Sport, Education and Society, 2024, 29(2): 162-179.

[14] Lynch S, Simon M, Maher A. Critical pedagogies for community building: Challenging ableism in higher education physical education in the United States. Teaching in Higher Education, 2023, 28(1): 195-210.

[15] Ruzmatovich U S, Shohbozjon G‘ayratjon o‘g Q. Uzbekistan's General Education School Physical Education Programme: A Curriculum Analysis. Best Journal of Innovation in Science, Research and Development, 2023, 2(5): 184-193.

[16]Leo F M, Mouratidis A, Pulido J J, et al. Perceived teachers’ behavior and students’ engagement in physical education: The mediating role of basic psychological needs and self-determined motivation. Physical Education and Sport Pedagogy, 2022, 27(1): 59-76.

[17]Bharadiya J P. A tutorial on principal component analysis for dimensionality reduction in machine learning. International Journal of Innovative Science and Research Technology, 2023, 8(5): 2028-2032.

[18]Jiang L, Sullivan H, Wang B. Principal component analysis (PCA) loading and statistical tests for nuclear magnetic resonance (NMR) metabolomics involving multiple study groups. Analytical Letters, 2022, 55(10): 1648-1662.

[19]Kitao A. Principal component analysis and related methods for investigating the dynamics of biological macromolecules. J, 2022, 5(2): 298-317.

[20]Dong W, Woźniak M, Wu J, et al. Denoising aggregation of graph neural networks by using principal component analysis. IEEE Transactions on Industrial Informatics, 2022, 19(3): 2385-2394.