Abstract

With the continuous deepening of the education reform, the number of students in higher vocational college (HVC) has increased, which puts forward higher requirements for the overall development of talents. Football is a relatively common sport in HVC with a certain degree of regularity and difficulty. Therefore, how to improve the level and the quality of teaching through scientific and reasonable teaching methods has become one of the problems that need to be solved in HVC. This article mainly focuses on the analysis and research of the traditional teaching mode and students’ learning situation based on the intelligent algorithm and puts forward effective improvement suggestions and strategies for reference. This article uses questionnaire surveys and data analysis methods to understand the evaluation results of the school’s teachers and students on the teaching quality (TQ) of the football course and the necessity of implementing improvement strategies through questionnaire surveys. According to the survey results, most of the interviewees had a high evaluation of the TQ of the school’s football course. 46 of the teachers and students who participated in the evaluation rated the school’s football course teaching methods as excellent, and only 2 rated it as passing. In addition, 49 of the teachers and students interviewed believe that it is necessary to optimize the strength of teachers, followed by perfecting the equipment configuration of the venue.

Highlights

  • With the continuous advancement of educational reforms, the state’s emphasis on higher vocational college (HVC) has gradually increased, and football as an important physical education course has been valued

  • The higher vocational teaching quality (TQ) evaluation system (ES) is a set of systems composed of a group of closely related indicators of the evaluation target

  • The establishment of the TQ ES is conducive to improving the education management level and quality of HVC

Read more

Summary

Introduction

With the continuous advancement of educational reforms, the state’s emphasis on HVC has gradually increased, and football as an important physical education course has been valued. It is a necessity to carry out research on the evaluation of football TQ and improvement strategies in HVC in combination with intelligent algorithms. Many scholars have conducted research on TQ evaluation and improvement strategies and have obtained very rich research results. How to effectively improve the quality of football teaching in HVC is an important issue at present [1]. This article starts from a new perspective, combined with intelligent algorithms, to carry out research on the evaluation of football TQ and promotion strategies in HVC, which has important practical significance and research value to a certain extent. The status quo of football teaching in HVC is introduced It discusses the evaluation of football TQ in HVC and the research on promotion strategies. A questionnaire survey was launched, and the corresponding survey results and conclusions were drawn

Intelligent Algorithm and Related Research
Neural Network
Particle Swarm
Simulated Annealing
Gray Wolf Optimization
The Status Quo of Football Teaching in HVC
Evaluation of Football TQ in HVC and Related Research
Strategies for Improving the Quality of Football Teaching in HVC and
Evaluation index Excellent Good Medium Pass
Questionnaire Design Process
Questionnaire Survey Content
Evaluation and Analysis of Football TQ
Analysis of Strategies for Improving Football TQ
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.