Education Teaching In Colleges Research Articles

Intelligent Development of College Physical Education Teaching Mode Based on “Internet+”

With the rapid development of information technology and the popularization of the internet, physical education teaching in colleges and universities is facing more and more opportunities and challenges. This paper takes the intelligent development of “Internet +” college physical education teaching mode as the theme, introduces the “Internet +” college physical education teaching mode and expounds the intelligent development of “Internet +” college physical education teaching mode, and then looks forward to the intelligent development of college physical education teaching modes future. The research shows that the intelligent development of college physical education teaching mode can give full play to the advantages of Internet technology and intelligent equipment, improve teaching effect and student experience, and promote the innovation and development of college physical education teaching.

Research on the Evaluation Mechanism of Mathematics Education Teaching in Colleges and Universities

Research on the Evaluation Mechanism of Mathematics Education Teaching in Colleges and Universities

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Abstract The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.

Construction of Quality Evaluation System for Blended Physical Education Teaching in Colleges and Universities

Abstract The evaluation of the quality of blended physical education teaching in colleges and universities, as a part of the evaluation of university education, is of great significance in guiding the construction and development of blended physical education teaching. This paper examines the evaluation system for hybrid physical education teaching quality in colleges and universities using the principle of evaluation system construction. There are 4 primary indicators, 11 secondary indicators, and 31 tertiary indicators in the system. By using the fuzzy comprehensive evaluation method to calculate the weights of each level 1 index and level 2 index, the weights of each index are judged to account for the proportion. The improved BP neural network algorithm was used to score the indicators. Through empirical analysis, it was found that the weight share of teaching effect, teaching implementation, teaching background, and teaching implementation were 0.33, 0.27, 0.21, and 0.19, respectively, and the teaching effect accounted for the largest share. The total evaluation score was 3.9. The scores of each level indicator in descending order are teaching background (4.13), teaching implementation (4.07), teaching effect (4.05), and teaching setup (3.37). The quality of blended physical education teaching in Colleges and Universities of S is better from the overall point of view.

Research on the Path of Integrating Curriculum Ideological and Political into Physical Education Teaching in Colleges and Universities in the Era of Artificial Intelligence

Abstract In the era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.

Innovative Exploration of Ideological and Political Education Teaching in Colleges and Universities under the Perspective of Cultural Confidence

Abstract This study explores the innovative path of ideological and political education in colleges and universities under the perspective of cultural self-confidence, and enhances the cultural self-confidence of college students, which is of great significance in improving the quality of national education and promoting national rejuvenation. The digital empowerment of teaching resources and efficient management algorithms significantly improve the efficiency of resource acquisition and application. The average score of teachers in accessing the resources of the Civics and Political Science course increased to 0.7182, indicating the effect of optimization of teaching resources. Meanwhile, the teacher team was optimized through rotation and exchange and professional training, and the proportion of teacher exchange and rotation increased to 18.22% in 2023, reflecting the rationalization of the teacher team structure. Students’ attitudes toward Civics and Politics reading differ significantly among different grades, with the best performance of juniors, with an average score of 4.53. In addition, creating a cultural atmosphere promotes students’ cultural self-confidence by increasing cooperation with all sectors of the society and building an influential “trinity” community of responsibility. The innovative strategy of Civic and Political Education in the perspective of cultural self-confidence has achieved remarkable results in improving the quality of education, optimizing the teaching staff’s structure and enhancing students’ cultural self-confidence.

Innovative Practice of Physical Education Teaching in Colleges and Universities Based on Artificial Intelligence Technology

Abstract With the development and improvement of artificial intelligence technology, the teaching innovation mode of combining college sports courses with artificial intelligence has gradually received widespread attention. This paper is based on artificial intelligence technology for the design of intelligent sports detection wearable devices, through which students’ sports data are collected, low-pass filters are used to reduce the noise of the collected data, normalization is carried out, and the AlphaPose algorithm is combined with the assessment and extraction of the human movement posture of college sports. The artificial intelligence sports teaching framework is built to innovate college sports teaching based on artificial intelligence. Finally, the impact of sports recognition is examined, and a comparison experiment is carried out to examine the practical implications of this teaching method. The four experimental targets had sports recognition errors that were less than 10% on average according to the results. The two classes under the experimental control have a P-value of less than 0.05 in the comparison of physical skills and physical fitness test data, and there is an improvement of 5-20 in all scores, which indicates that the experimental class has a higher teaching effect and is significantly helpful in performance improvement. Based on the above, this paper researches the practice of artificial intelligence technology in college sports teaching to provide an innovative path for the transformation of traditional sports teaching to artificial intelligence sports teaching.

Research on the Path of Improving Physical Education Teaching in Colleges and Universities Based on Deep Learning

Abstract This research investigates the application of deep learning to college physical education, proposing an innovative teaching methodology that significantly improves outcomes by fostering students’ practical skills and innovation. We introduce a structured deep learning model encompassing four stages and twelve instructional steps, employing an “independent-cooperative-inquiry” modality in real-world teaching scenarios. Through empirical assessment in various T colleges, notable enhancements were observed in student attitudes toward physical education, collaborative spirit, and physical health, culminating in a 92% satisfaction rate with the teaching approach and an 85% boost in learning effectiveness. Adopting a deep learning-based pedagogy in physical education elevates teaching quality and enriches students’ comprehensive abilities, charting a new course for the pedagogical advancement in this field.

Establishment and Application of Evaluation System for Objective Management of Music and Aesthetic Education Teaching in Colleges and Universities

Abstract Addressing current challenges in music aesthetic education at colleges and universities, this study introduces an evaluation system rooted in hierarchical analysis to advance goal management in teaching. Expert consensus guided the selection and weighting of evaluation indices across a province’s higher education landscape. Implementing this system through information technology and data analysis software, our research analyzed teaching examples to gauge effectiveness. Results demonstrated improved teaching quality, with experimental and control groups showing average score increases of 1.24 and 1.03 points, respectively. This underscores the system’s potential to elevate the management and organization of music aesthetic education, contributing valuable insights to its evaluation theory and enhancing educational quality in Chinese colleges and universities.

The Application of Multimedia Network Teaching Based on Big Data in Physical Education Teaching in Colleges and Universities

The Application of Multimedia Network Teaching Based on Big Data in Physical Education Teaching in Colleges and Universities

Analysis of the enhancement of computer simulation on physical education teaching in colleges and universities

Abstract The integration of computer simulation and modeling into physical education represents a significant shift in teaching methodologies within higher education, prompted by the advancements of the digital era. This study scrutinizes the effectiveness of such technologies in augmenting student learning outcomes and pedagogical efficiency in PE courses. Through the application of virtual reality and precise movement modeling, the research contrasts the impacts of traditional teaching with those of computer-assisted simulations. Findings demonstrate that computer simulation significantly improves students’ physical fitness (by 15%) and skill proficiency (by 20%) and markedly increases their engagement with the subject matter. Additionally, the ability to practice in a simulated, hazard-free environment reduces the time required to master skills. These results support the broad implementation of simulation technologies in physical education, promising enhanced student motivation, skill development, and academic interest.

Optimization of Innovative Path of Physical Education Teaching in Colleges and Universities under Information Integration Technology

Abstract In the era of swift advancements in information technology, the domain of physical education (PE) at colleges and universities stands at the cusp of transformative change, necessitating innovative approaches to teaching methodologies. This paper delves into integrating information fusion technology within PE to refine instructional strategies and bolster student physical health. Through the employment of surface electromyography (EMG) signal collection, Analysis of motion imagery features, and a comprehensive approach to multi-information fusion, this investigation analyzes the EMG data, heart rates, and motion images of 60 students. The findings reveal that information fusion technology serves as an effective tool for monitoring exercise states and physiological metrics in real-time. A notable aspect of the research is using a Dual Stream CNN-ReliefF algorithm, enhancing the precision of interpreting human motion intentions. The study confirms the method’s accuracy and reliability, as the monitored average heart rate, EMG signals, blood pressure, and body temperature align with readings from specialized medical devices. Consequently, adopting information fusion technology in PE teaching significantly enhances educational methodologies and outcomes. This research underscores the potential of technology-driven solutions in redefining physical education, fostering a more effective and scientifically informed learning environment.

Innovative Practice of Physical Education Teaching in Colleges and Universities in the Context of “Digital” Education

Abstract This paper takes the experimental design of the flipped classroom teaching mode under digital information technology as the entry point, chooses the appropriate research object and method, and designs the experimental program of flipped classroom teaching in college sports. Since the teaching effect of the flipped classroom teaching mode needs to be supported by students’ movement data, this paper utilizes the least squares distance to match and retrieve the data of students’ movement postures and then combines it with the ANN model to deeply mine the students’ movement data. For the teaching effect of the flipped classroom teaching mode, innovative practices are carried out for physical education teaching in colleges and universities. The results show that when the linear correlation coefficient of the ANN model is 1, the lowest value of validation loss is 2.1*10−4. The flipped classroom teaching mode can effectively enhance students’ physical fitness. The mean value of students in the experimental group in the learning motivation dimension has been improved by 5.44 points compared with the preexperimentation period. The results of the T-test of the sports concern and learning satisfaction are all significant differences at the 1% level. The combination of flipped classrooms and college physical education teaching in a digital environment can improve the effectiveness of physical education teaching and increase students’ interest in physical education learning.

Research on the Path of Enhancing Physical Education Teaching in Colleges and Universities Based on the Background of Deep Learning

Abstract This paper firstly summarizes the factors affecting the ability of physical education teaching from the four points of society, family, school and teachers, and puts forward the path of physical education teaching enhancement in colleges and universities in view of the current dilemma of physical education teaching. Secondly, in the context of deep learning, the use of deep learning for the calculation of the human center of gravity information can improve the efficiency of human center of gravity vector angle feature extraction while using the vector pinch angle cosine body force to obtain the human limb pinch angle features, followed by posture estimation method to obtain the body upper and lower body orientation features, and then through the improved Open Pose network model will be converted from video stream data to the human body key point coordinates data, and then the ALSTM-LSTM model will be applied to the video stream data. Then, the ALSTM-LSTM model was applied to the sports teaching movement analysis and empirically analyzed for sports teaching in colleges and universities. According to the findings, the ALSTM-LSTM model has the best performance in all indexes, while the SVM has the worst performance. In physical education, through quality practice in the classroom, the reinforcement of the sports club and the maintenance of the extracurricular group “Gudong” running, the students’ physical indicators have been improved. This study is conducive to improving the current decline in college students’ physical health and is also of great practical significance in effectively improving the overall level of college students’ physical fitness.

Innovative Path of Music Education Teaching in Colleges and Universities under the Architecture of Disciplinary Knowledge Mapping

Abstract The purpose of this paper is to present a pedagogical model for mapping subject knowledge in the field of music education. The model includes two aspects: the extraction of entities and inter-entity relationships within the subject domain and the construction of a subject ontology. In the construction process of subject knowledge mapping, this paper proposes a remote supervised music subject knowledge extraction method based on a convolutional neural network combined with an attention mechanism, which realizes the extraction of entities in the music subject domain and the relations between corresponding entities. This paper proposes a keyword extraction method for obtaining the set of discipline concepts in ontology construction. To improve performance, this paper proposes a framework structure for knowledge fusion that includes three aspects: data preprocessing, similarity calculation, and knowledge fusion. As a result of the study, the teaching model can improve the performance of music majors on average by 13.3. In terms of self-efficacy, on average reached 3.58 (SD = 0.535), which is at a good level. The results demonstrated the effectiveness of the music teaching model based on subject knowledge mapping.

Research on the Reform Path of Physical Education Teaching in Colleges and Universities from the Perspective of Physical Education Integration

With the pace of reform and development of quality education and teaching, the concepts and models of education and teaching in colleges and universities should be updated and adjusted in a timely manner. It is necessary to cultivate students with moral character, and to cultivate and guide students from all aspects such as moral, intellectual, physical, artistic, and labor, so that students’ abilities and skills in all aspects can be significantly improved. At the same time, colleges and universities should also emphasize the guidance of physical education, continuously deepen and reform physical education, and fully integrate the concept of physical education integration into it. However, in the specific implementation process, the teaching concepts are old and traditional, and the teaching guidance model lacks rationality, etc., resulting in unsatisfactory teaching effects in physical education classrooms. Based on this, colleges and universities should promptly reform and innovate the existing physical education teaching model based on the actual situation, and implement the concept of integrating sports and education into every teaching guidance segment to truly achieve the reform and development goals of physical education teaching in colleges and universities, and contribute to the development of sports.

Current Situation and Mode Innovation of Physical Education Teaching in Colleges and Universities under the Perspective of Deep Learning

Abstract This paper analyzes the current situation of physical education teaching in colleges and universities from the perspective of deep learning and innovates the teaching methodology. A multidimensional data array is used to quantify students’ interests and hobbies to create a recommendation module for intelligent sports learning materials. Using the SIFT feature extraction algorithm, identify the extreme value point of the detection target and develop the sports target extraction module. Through distance transformation and morphological features, determine the skeleton image features to construct a college sports teaching model using deep learning. The results show that the model in this paper enables the coverage rate of sports courses to reach over 97.20%, with a fluctuation of no more than 1.5%. Deep learning has contributed to some innovation in college sports teaching.

Column generation algorithm based on recursive matrix for optimal development strategy of physical education teaching in colleges and universities

Abstract In this paper, in the process of solving the mathematical model of sports facility optimization, the integer linear programming issue of choosing a sports facility is solved using a branch delimitation approach paired with a recursive matrix-based column-generating method. As part of the process of creating a scientific evaluation system for physical education, a hierarchical gray correlation-based evaluation model for the quality of physical education in colleges and universities is built by combining the hierarchical analysis weight-solving method and the solution method of the gray correlation degree. After the analysis, 81.1% of the teachers and students were satisfied after physical education facilities were optimized with the physical education teaching facilities. The gray correlation coefficient of physical education hardware facilities and software is 0.7, and the gray correlation coefficient of physical education effect is 0.18.

Retracted: Quality Evaluation for Physical Education Teaching in Colleges with Joint Neural Network

Retracted: Quality Evaluation for Physical Education Teaching in Colleges with Joint Neural Network

Research on the Reform and Development of Physical Education Teaching in Colleges and Universities Based on Information Technology

The widespread usage of information technology in today's world demonstrates its numerous practical benefits. The enhancement of higher education teaching standards, the development of athletic talent, and the overall growth of students are all factors in the reform and development of physical education instruction in colleges and universities. To achieve the innovation of teaching methods and the long-term development of college physical education teaching, the reform of college physical education teaching based on information technology must incorporate information technology into all elements of college physical education teaching. The article begins by outlining the impact of information technology on the reform of physical education instruction in colleges. It then provides strategies for utilizing information technology to improve and develop physical education instruction in colleges and breathe new life into it.