Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning

被引:7
作者
Chen, Qingjie [1 ,2 ]
Dong, Minkai [3 ]
机构
[1] Linyi Univ, Sch Sports & Hlth, Linyi 276000, Shandong, Peoples R China
[2] Shandong Univ, Postdoctoral Mobile Stn, Jinan 250100, Shandong, Peoples R China
[3] Shanghai Univ Finance & Econ, Phys Educ Dept, Shanghai 200433, Peoples R China
关键词
TEACHERS;
D O I
10.1155/2022/7548256
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years, the promotion of quality education and the development of curriculum and teaching materials reform have put forward higher goals and requirements for professional skills in physical education. However, there are still many shortcomings in the nuclear assessment of physical education professional skills, such as lack of clarity in evaluation objectives, lack of scientific in evaluation indexes, lack of systematization in evaluation contents, lack of diversity in evaluation methods, lack of authority in evaluation results, and lack of timely prediction and analysis of students' mastery of classroom teaching skills, thus not giving good play to all the functions that the nuclear assessment should have, thus to a certain extent fettering the further enhancement of physical education. With the development of information technology, artificial intelligence, as a new technology, can guide the improvement of the assessment and judging mode of physical education professional skills courses, and is also an important guiding idea for physical education majors to meet the development demands of information-based society. Based on the analysis of the connotation and characteristics of deep learning, this paper points out the insufficiency of the assessment and evaluation of traditional physical education professional skills courses and proposes a method of assessment and evaluation of physical education professional skills courses based on convolutional neural networks and small sample learning. In the case of a small amount of data in the course assessment, we use a small number of samples to learn, and only need a small number of samples to learn quickly. Using the improvement measures under the teaching concept of deep learning, physical education personnel are required to truly change in terms of professional skills mastery and evaluation. We effectively implement improvement measures, promote the improvement of physical education professional skills, and realize the migration and innovation of sports knowledge and skills.
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页数:11
相关论文
共 24 条
[11]   Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach [J].
Li, Jianan ;
Zhou, Zhenyu ;
Wu, Jun ;
Li, Jianhua ;
Mumtaz, Shahid ;
Lin, Xi ;
Gacanin, Haris ;
Alotaibi, Sattam .
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2019, 6 (06) :1395-1406
[12]   Automatic Modulation Recognition: A Few-Shot Learning Method Based on the Capsule Network [J].
Li, Lixin ;
Huang, Junsheng ;
Cheng, Qianqian ;
Meng, Hongying ;
Han, Zhu .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (03) :474-477
[13]   Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City [J].
Lin, Xi ;
Wu, Jun ;
Mumtaz, Shahid ;
Garg, Sahil ;
Li, Jianhua ;
Guizani, Mohsen .
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2021, 9 (03) :1373-1385
[14]   Deep Few-Shot Learning for Hyperspectral Image Classification [J].
Liu, Bing ;
Yu, Xuchu ;
Yu, Anzhu ;
Zhang, Pengqiang ;
Wan, Gang ;
Wang, Ruirui .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (04) :2290-2304
[15]   How can video feedback be used in physical education to support novice learning in gymnastics? Effects on motor learning, self-assessment and motivation [J].
Potdevin, F. ;
Vors, O. ;
Huchez, A. ;
Lamour, M. ;
Davids, K. ;
Schnitzler, C. .
PHYSICAL EDUCATION AND SPORT PEDAGOGY, 2018, 23 (06) :559-574
[16]   Beliefs as filters for comparing inclusive classroom situations. Connecting teachers' beliefs about teaching diverse learners to their noticing of inclusive classroom characteristics in videoclips [J].
Roose, Iris ;
Vantieghem, Wendelien ;
Vanderlinde, Ruben ;
Van Avermaet, Piet .
CONTEMPORARY EDUCATIONAL PSYCHOLOGY, 2019, 56 :140-151
[17]   Different versions of assessment for learning in the subject of physical education [J].
Tolgfors, Bjorn .
PHYSICAL EDUCATION AND SPORT PEDAGOGY, 2018, 23 (03) :311-327
[18]  
Usenko D., 2019, J PHYS ED SPORT, V19
[19]   Using principles of authentic assessment to redesign written examinations and tests [J].
Villarroel, Veronica ;
Boud, David ;
Bloxham, Susan ;
Bruna, Daniela ;
Bruna, Carola .
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL, 2020, 57 (01) :38-49
[20]   Plant Leaves Classification: A Few-Shot Learning Method Based on Siamese Network [J].
Wang, Bin ;
Wang, Dian .
IEEE ACCESS, 2019, 7 :151754-151763