Abstract
With the rapid development of information technology, the traditional single classroom teaching and passive learning methods of students can no longer meet the needs of all-round development of college students, and its urgent need to integrate with information technology. This article is aimed at the problem of lagging feedback on training results in the traditional teaching model, teachers' active control, students' passive obedience, ignoring the development of students' personality in college football classrooms, and the inability to carry out personalized tracking and quantitative improvement of the training process of students' related abilities. We constructed a college football classroom practice teaching system model based on big data analysis from the perspectives of establishing big data teaching resources, and implementing personalized resource recommendation, optimizing the traditional teaching process, integrating quantitative training, measurement and recording, implementing quantitative intervention, etc. Colleges and universities have carried out experimental observations. Through continuous observation and comparison, it is found that college football classroom practice teaching under big data is more conducive to improving students' football skills and theoretical level than traditional teaching. This model makes full use of the advantages of big data and the combination of practical teaching methods, which can bring students a different learning experience and obtain good teaching effects. It has guiding and reference significance for college football practical teaching.
Highlights
The field of physical education has made great progress relying on the rapid development of information technology and network technology
In the traditional college football classroom teaching evaluation, the results of learning behavior are often obtained through manual recording and measurement, and the efficiency of data record collection, analysis, and graphic and visualization work processing is low; in the teaching form, teachers actively control, and students passively obey, leading to the students’ theoretical learning and understanding being not deep enough; in addition, in the practical teaching link, intensive exercises are mainly carried out based on the data results to improve the quality of students’ training and lack of attention to the process of training behavior and ignore the different personalities and characteristics of the students during the training process
In each stage of the training process, the effectiveness of the training is tracked and feedback pointto-point, and it becomes a cyclic iterative process. is cyclic iteration will not stop until all students have reached the theoretical knowledge of football or football skills required by the teaching goal
Summary
The field of physical education has made great progress relying on the rapid development of information technology and network technology. Due to its rapid transmission, and rich and diversified data characteristics, it can perform in-depth mining of collected data It can better provide real-time data trends for college teachers and students in the classroom practice teaching process. Lindsley [6] introduced what is the era of big data and the typical cases of data application in the era of big data and analyzed why classroom teaching in the era of big data changes from the perspectives of teachers and students and how to respond to the changes; Binder [7] teaches APP courses based on big data, through the experimental process of a large number of student self-study effect analysis data to analyze the 3 types of students in the experiment, according to their process learning data to analyze their learning methods, so as to find students’ efficient self-study mode; Griffin [3] aimed at the big data trend, carried out targeted classroom teaching evaluations for college football classrooms, realized the diversification of evaluation subjects, combined formative and summative evaluations, and integrated quantitative and qualitative evaluations; Lambe et al [8] aimed at the big data trends, put forward the concept of big data classroom, analyzed the characteristics of big data classroom, designed the construction plan of big data classroom, and pointed out the connotation and development trend of big data classroom. Our Works is article will launch a research on the construction of the college classroom practice teaching system model in the context of big data. rough the proper use of big data, it can bring greater value to the football teaching classroom, so that colleges and universities can obtain more and more detailed information to the greatest extent. e rich data provides decision-making and new ideas for the innovation of teaching practice in colleges and universities in the future
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
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
