College Basketball Teaching Research Articles

Research on the Application of Competition Teaching Method in College Basketball Teaching

In modern college basketball teaching, competition teaching method emphasizes the combination of practice and skills by simulating the real competition environment, improving students basketball comprehensive quality. Competition teaching method pays more attention to students sense of participation, prompting them to explore and solve problems themselves in confrontation. By this way, students can use their learned skills in actual competitions, and cultivate their sense of teamwork and tactical thinking. The effectiveness of this teaching method has been verified in the practice of many colleges and universities, showing great value. Therefore, by analyzing the theoretical basis of competition teaching method, this paper studies the application of competition teaching method in college basketball teaching.

Research On The Innovation Path Of College Basketball Teaching Based On Big Data Analysis

Research On The Innovation Path Of College Basketball Teaching Based On Big Data Analysis

The Construction of Flipped Classroom Teaching Model Introduced into College Basketball Teaching

The Construction of Flipped Classroom Teaching Model Introduced into College Basketball Teaching

Tactics of Training Tactical Consciousness in Basketball Teaching and Training in Colleges and Universities

Tactics of Training Tactical Consciousness in Basketball Teaching and Training in Colleges and Universities

Application Research of Information Technology in College Basketball Teaching

This study deeply discusses the specific application of information technology in basketball teaching. Through the application of information technology by teachers, it is found that the influential factors of information technology teaching are mainly composed of teachers' "cognition", "willingness" and "application". The correlation analysis of the three dimensions showed that: the gender of teachers had no significant difference in cognition, intention and application of information-based teaching (p>0.05); There were significant differences in teachers' cognition, intention and application of information-based teaching (P<0.01). There were no significant differences in the cognition, intention and application of information-based teaching among teachers' educational background (p>0.05). Based on case studies and correlation studies, this study puts forward solutions such as continuous investment in technical equipment, strengthening teacher training and in-depth research on new technologies to promote the wider application of information technology in basketball teaching. In the future, information technology will continue to play a key role in basketball teaching and promote the development of college basketball teaching towards a more scientific and intelligent direction.

Research on the Design and Application of Intelligent Teaching and Training System for College Basketball Based on 3D Motion Recognition Technology

Abstract In this paper, for the problems of traditional 2D convolutional networks in dealing with action recognition in video, a dual-resolution 3D-CNN action recognition network is induced to initialize 3D convolutional weight parameters by using 2D weight parameters of ImageNet, and the weight files are used as the parameters of the model to perform feature extraction on the sequence of technical action frames respectively. After feature extraction, collect the feature vectors that can effectively describe the human body movements, classify the feature vectors with the help of the kernel function in the Support Vector Machine (SVM), and finally determine the technical architecture of the basketball auxiliary training system, and complete the design of the intelligent teaching and training system for basketball in colleges and universities. After analyzing the method of the present paper, it can be seen that the recognition error of the basketball player’s running gait is 3.47%, which accurately reflects basketball sports training footwork trajectory to achieve the effect of intelligent guidance. In addition, the upper and lower limb movement recognition effect based on CNN+SVM is obvious, and the average accuracy rate of its upper and lower limb movements is 93.17% and 98.66%, respectively, which well meets the needs of basketball teaching in colleges and universities. In terms of students’ basketball skills, there is a significant difference between this paper’s system and traditional teaching (P<0.05), and this paper’s system has a higher priority for improving the quality of college basketball teaching than traditional teaching.

Teaching the process of free throw action in basketball course based on motion vector field transformation

Abstract In order to improve the teaching quality of the free throw action process in basketball courses, this paper proposes research on the teaching of free throw action by integrating motion vector field transformation. Starting from the actual situation of the player’s free throw action, it describes the problems in the teaching process of free throw action. It elaborates on the structure and principle of the motion vector field transformation algorithm in depth. In video analysis teaching of free-throw shooting action processes, the player’s motion vectors can easily be interfered with by random noise, which needs to be optimized using smoothing processing and compensation models. Combined with the teaching objectives of free throw action, the design and development of the “basketball free throw action” microteaching by integrating the motion vector field transformation through the analysis of a university sports college basketball class of 2021 students found that from the seventh week and the eighth week of the experimental group and the control group, respectively, there is a difference of 7.8% and 13%. The ball-hitting rate is significantly different from that of the control group (<0.5). A significant difference occurred (<0.05). Although both methods have improved the free throw shooting rate of the athletes, the teaching of free throw shooting action in the basketball course integrating the motion vector field transformation performs better compared to the traditional free throw shooting action teaching mode. This study provides technical support and diversified media presentation methods for the design and development of basketball micro-courses. It constructs a feasible way to develop and innovate college basketball teaching.

RETRACTION: Evaluation of College Basketball Teaching Based on Deep Learning

RETRACTION: Evaluation of College Basketball Teaching Based on Deep Learning

Design and Application of SPOC Hybrid Teaching for College Basketball Teaching Based on Artificial Intelligence Technology

Abstract Students love basketball, but traditional teaching approaches are no longer able to suit their demands. In this article, artificial intelligence is combined with innovative teaching methods to create a new type of learning. Firstly, under the SPOC teaching mode, intelligent sensors are used to collect basketball sports data, and Kalman filtering is used for processing and segmentation. Then, through the definition of basketball sports gesture, the data division of basketball sports gesture, designing the basketball sports gesture feature extraction method based on unit division, and using the SVM method to analyze the basketball sports gesture features, designing intelligent SPOC hybrid basketball teaching. Finally, the experiments on data collection and motion attitude resolution in basketball are designed to investigate the effects of intelligent SPOC hybrid basketball teaching. The results show that the deviations of the collected acceleration and angular velocity are within 10−2 orders of magnitude and 1.8°/s deviation, respectively, and the average recognition effect of various basketball postures is 0.925, which is able to effectively carry out basketball motion recognition. The experimental class 1’s physical quality improved by roughly seven after the teaching application was implemented, and the P-value for the improvement of different basketball sports was less than 0.05, indicating that the planned instruction can greatly enhance students’ physical quality and basketball abilities.

A Practical Study of Basketball Teaching Reform in Colleges and Universities Based on Big Data

Abstract In this paper, the human body posture estimation algorithm is used to locate the key points of the human body in the RGB screen, and two human body multi-objective algorithms are used to predict the posture trajectory, and they can overcome the influence of the errors contained in the information recorded by the sensors to a certain extent. Secondly, the spatio-temporal graph convolutional neural network is used to identify human behavior and extract behavioral action features, and through the analysis of the action features, we understand the basketball skill level of the students and put forward the reform strategy of college basketball teaching. Sixty students from the basketball minor class at University Q’s College of Physical Education were selected as research subjects for teaching practice. The results show that the average scores of the students in spot-up shooting, half-court folding dribbling and marching one-handed over-the-shoulder shooting after the reform are higher than those before the reform by 1.80, 1.08, and 1.85, which indicates that the reform of basketball teaching based on big data can improve the students’ interest in learning and their training scores, and enhance the students’ basketball skill level.

Optimization of the College Basketball Teaching Mode Based on the Applied Explainable Association Rule Algorithm and Cluster Analysis in Mobile Computing Environments

ABSTRACT Under the mobile computing environment, a large number of convenient mobile terminals and extensive mobile network application services have been produced. The technology has been used in college sports teaching to optimize the management of sports teaching. In this context, this paper studies the application of the association rule algorithm and cluster analysis in basketball teaching, which will effectively promote the practice and application of the association rule algorithm and cluster analysis in college PE teaching in China. This paper studies basketball teaching in colleges and universities based on the applied explainable association rule algorithm and cluster analysis. It is concluded that the p value of positioning shooting in the basic basketball technology test between the experimental class and the control class before the experiment is 0.883, which is greater than 0.06, indicating that there is no significant difference between the experimental class and the control class before the experiment. The p value of round-trip straight dribble in the whole field is 0.735, which is greater than 0.07, indicating that there is no significant difference between the experimental class and the control class before the experiment. This teaching mode plays a significant role in cultivating beginners’ learning interest and enthusiasm, preliminarily mastering movement skills and establishing solid technical concepts. With the complex emotional experience of the association rule algorithm, it is of great significance for teachers to grasp students’ various emotional experiences in learning, cultivate students’ team consciousness by cluster analysis, guide and dredge their negative emotions, and develop students’ sense of cooperation, team spirit and democratic spirit, personal responsibility and personality.

Calculation and analysis of the impact of Microsoft security-assisted physical education model on college basketball teaching in the Internet information era

With the rapid development of information technology in China in recent years, the network-sharing function in social software such as "WeChat" has begun to serve as a safety aid for educational work and promote the emergence of a new teaching model, so this paper proposes a new idea of basketball teaching based on the WeChat safety-aided sports model. Firstly, under the method of research, the importance of the practical part of the teaching content of the basketball specialization course is analyzed by principal component analysis; then the suitability of basketball teaching theory under WeChat safety-assisted is analyzed according to the correlation reliability test, measurement ANOVA and post hoc test of score rate; based on Kinect sensing technology, a basketball teaching model based on Kinect motion capture and joint construction is constructed; finally Obtain weights according to different weight calculation methods and construct a basketball teaching quality evaluation system based on fuzzy synthesis. The results showed that the experimental class achieved 3.16±1.609 (pcs) and 82.38±8.450 (points) in the 4-meter fixed distance passing into the zone; 35.18±9.167 (sec) and 84.72±10.798 (points) in the half-court dribbling and folding marching layup; 4.8-meter fixed distance one-handed over-the-shoulder basketball in the experimental class. The experimental class achieved the standard score of 3.63±2.282 (one) and the technical evaluation score of 82.28±7.857 (points) for the 4.8m fixed distance one-handed over-the-shoulder shot.

Retraction Note: Practical application of wireless communication network multimedia courseware in college basketball teaching

Retraction Note: Practical application of wireless communication network multimedia courseware in college basketball teaching

The Application of Mixed Stratified Teaching Method under OBE Concept in College Basketball

The mixed stratified teaching method under the concept of OBE plays a positive role in promoting the informatization process of teaching method in modern education. Introducing the mixed stratified teaching method under the concept of OBE into college basketball teaching can improve students' interest in sports learning, strengthen students' grasp and understanding of basketball technology, and improve students' physical quality to a certain extent. It has practical and reliable teaching effect. This paper mainly analyzes the basic situation of the mixed stratified teaching method under the concept of OBE and as the research entry point, focuses on the introduction of the importance of the mixed stratified teaching method under the concept of OBE in college basketball teaching, expounds the existing problems in basketball teaching, and improves the teaching method according to this problem. It provides a new reference for the innovation of college basketball teaching method.

A Study into the Reform of “Online + Offline” Compound Basketball Teaching Mode at Colleges and Universities

Basketball plays an important role in college physical education. In the traditional college basketball teaching mode, teachers rely on face-to-face instruction in class, and it is difficult to get to know the learning situation of a specific student in time in the face of dozens of students, let alone to guide them pertinently. In addition, basketball skill teaching takes up a lot of class time, which is not conducive to the cultivation of college students’ sports literacy. In this context, this paper uses the “rain class” to collect and analyze learning data, constructs the “online + offline” compound teaching model in college basketball teaching, and sets up experiments to verify the “online + offline” compound basketball teaching model, hoping to promote the development of college basketball teaching in the theoretical and practical level.

Research on the Cultivation and Approach of Sports Accomplishment in Public Sports Basketball Teaching in Colleges and Universities

Research on the Cultivation and Approach of Sports Accomplishment in Public Sports Basketball Teaching in Colleges and Universities

FORÇA E TREINAMENTO DE QUALIDADE DOS JOGADORES DE BASQUETEBOL

ABSTRACT Introduction: Quality exercise training of young people is a fundamental basic requirement for developing physical fitness in college basketball teaching. Objective: Enhance exercise training in young basketball players. Methods: A random selection of 50 student volunteers was made for this research. The strength and quality of basketball players of different ages were analyzed. The experimental group was subjected to specific strength training, while the control group was subjected to routine physical exercises. The experiment period was 12 weeks, and the specific technical indicators of the athletes were collected before and after the end of the experiment. The collected data were statistically treated and discussed in light of the scientific literature. Results: No significant difference was found between the two groups in the initial test score (P>0.05). The experimental group’s performance in exercise was better than the control group after 12 weeks (P<0.01). The experimental group demonstrated better performance than the control group in the standing jump, 15-meter reentry, and forward jump, corroborating the significantly different data between the two groups (P<0.01). Conclusion: This study aimed to study the unique role of strength training in the physical training of young basketball players. Special strength training positively affects upper limb muscle training in young basketball players. The lower extremities of basketball players showed expressive functional gains with special strength training. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

Research on the Teaching Strategy of College Basketball Class

With the rapid development of the living standard of Chinese residents, physical education has undergone a transformation of expanded functions in the new era. Physical education in colleges and universities is not only to develop students' physical quality and enable them to have basic sports skills, but also to turn to the new function of "educating people" in physical education in colleges and universities. As one of the most popular sports in China, basketball is widely loved by teachers and students in colleges and universities. Taking it as an optional course will also be the first choice for many students. This paper explores the teaching methods and strategies of our teachers in the process of college basketball teaching to optimize the classroom and improve the teaching level.

The Application Method of Big Data of Data Mining Algorithm in College Basketball Teaching

The teaching quality monitoring and evaluation system in colleges and universities gives the scientific and objective evaluation of school teaching work and effectively optimizes and adjusts the important system of teaching work under the condition of deep excavation of the problems. However, the data on the teaching quality of colleges and universities in the state of static storage has seriously affected the value of data existence and the mining of laws. This paper mainly analyzes the application types of data mining technology in the college basketball teaching quality monitoring and evaluation system and discusses the data mining implementation method in the college basketball teaching quality and evaluation system, hoping to have a certain reference for relevant personnel.

The Cultivation Strategies of Sports Tactical Consciousness in College Basketball Teaching

The Cultivation Strategies of Sports Tactical Consciousness in College Basketball Teaching