The integrated media in teaching and political courses in colleges and universities is investigated in this study and an efficient evaluation model of quality is developed to address the challenges of media integration. Advantages and disadvantages of media integration within an educational context are identified by analyzing daily newspapers. The benefits of integrating and sharing resources between colleges and universities are highlighted, and the need for developing new education to facilitate these efforts is acknowledged. A direct value method using EM-AGA-B model entropy method is proposed as an efficient evaluation of education quality. This study contributes to the literature by a feasible plan to improve teaching quality and emphasizes the importance of media integration in education.
{"title":"The Application of Media Integration in Ideological and Political Teaching in Colleges and Universities","authors":"Xueyan Wang","doi":"10.4018/ijwltt.332009","DOIUrl":"https://doi.org/10.4018/ijwltt.332009","url":null,"abstract":"The integrated media in teaching and political courses in colleges and universities is investigated in this study and an efficient evaluation model of quality is developed to address the challenges of media integration. Advantages and disadvantages of media integration within an educational context are identified by analyzing daily newspapers. The benefits of integrating and sharing resources between colleges and universities are highlighted, and the need for developing new education to facilitate these efforts is acknowledged. A direct value method using EM-AGA-B model entropy method is proposed as an efficient evaluation of education quality. This study contributes to the literature by a feasible plan to improve teaching quality and emphasizes the importance of media integration in education.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136012744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous progress of science and technology, the trend of integrating science and technology into education has been unstoppable, and educators are constantly striving to find a perfect teaching method to serve education. In this article, the innovative research on the teaching mode of history course based on digital technology is carried out. This article puts forward the design of digital resources of history curriculum, and on this basis, designs and implements the algorithm of recommending history curriculum resources. Firstly, CF (collaborative filtering) algorithm based on users is implemented to find similar neighbors for users, and if there are no similar neighbors, it is calculated according to content recommendation. Secondly, the user's ability scoring model not only contains the basic attributes of users, but also involves the ability scoring of course training users, and the calculation of ability comes from the calculation of text mining.
{"title":"Innovation of History Teaching Mode Based on Digital Technology","authors":"Qingjiu Lu","doi":"10.4018/ijwltt.331757","DOIUrl":"https://doi.org/10.4018/ijwltt.331757","url":null,"abstract":"With the continuous progress of science and technology, the trend of integrating science and technology into education has been unstoppable, and educators are constantly striving to find a perfect teaching method to serve education. In this article, the innovative research on the teaching mode of history course based on digital technology is carried out. This article puts forward the design of digital resources of history curriculum, and on this basis, designs and implements the algorithm of recommending history curriculum resources. Firstly, CF (collaborative filtering) algorithm based on users is implemented to find similar neighbors for users, and if there are no similar neighbors, it is calculated according to content recommendation. Secondly, the user's ability scoring model not only contains the basic attributes of users, but also involves the ability scoring of course training users, and the calculation of ability comes from the calculation of text mining.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136352436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Under the influence of visual culture environment, today's product design teaching will gradually change from the traditional theoretical method dominated by traditional classroom teachers to a more diversified and digital student practice mode. This study applies virtual reality technology to the teaching course of cultural and creative product design, and is committed to developing new possibilities for product design courses. Creating virtual design course environment with virtual reality equipment. Create an immersive design experience. Make up for the deficiency of traditional curriculum methods, and let students enjoy cultural and creative works from a richer and more diverse perspective in the virtual environment, so as to effectively cultivate the core literacy of the subject. It has become an inevitable trend for virtual reality technology to enter the traditional classroom. It is hoped that through this research, problems can be found, rules can be summarized, and practical experience of curriculum teaching can be provided for future “internet plus” and “VR+” education.
{"title":"Teaching Reform of Cultural and Creative Product Design Based on Virtual Reality (VR) Technology","authors":"Fang Zhang","doi":"10.4018/ijwltt.331759","DOIUrl":"https://doi.org/10.4018/ijwltt.331759","url":null,"abstract":"Under the influence of visual culture environment, today's product design teaching will gradually change from the traditional theoretical method dominated by traditional classroom teachers to a more diversified and digital student practice mode. This study applies virtual reality technology to the teaching course of cultural and creative product design, and is committed to developing new possibilities for product design courses. Creating virtual design course environment with virtual reality equipment. Create an immersive design experience. Make up for the deficiency of traditional curriculum methods, and let students enjoy cultural and creative works from a richer and more diverse perspective in the virtual environment, so as to effectively cultivate the core literacy of the subject. It has become an inevitable trend for virtual reality technology to enter the traditional classroom. It is hoped that through this research, problems can be found, rules can be summarized, and practical experience of curriculum teaching can be provided for future “internet plus” and “VR+” education.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135046909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Online music teaching has brought great challenges to traditional music education. This paper investigates the paradigm of online music education and uses neural networks to evaluate its teaching quality based on the internet and big data. The main work is as follows: 1) The research progress of online music education at home and abroad is introduced. 2) This paper introduces the basic principle and algorithm steps of BPNN and establishes the evaluation index system of online music education quality. The experimental results show that the model proposed in this paper has high accuracy in evaluating online music teaching standards.
{"title":"Analysis for Online Music Education Under Internet and Big Data Environment","authors":"Lanfang Zhang","doi":"10.4018/ijwltt.331398","DOIUrl":"https://doi.org/10.4018/ijwltt.331398","url":null,"abstract":"Online music teaching has brought great challenges to traditional music education. This paper investigates the paradigm of online music education and uses neural networks to evaluate its teaching quality based on the internet and big data. The main work is as follows: 1) The research progress of online music education at home and abroad is introduced. 2) This paper introduces the basic principle and algorithm steps of BPNN and establishes the evaluation index system of online music education quality. The experimental results show that the model proposed in this paper has high accuracy in evaluating online music teaching standards.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135829906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The education system in China's education industry has been undergoing continuous reform. The current educational resources integration and sharing system is inefficient and needs a lot of time to find resources, which greatly affects the efficiency of education. The integration and sharing of educational resources have become unavoidable problems in teaching. In order to solve this problem, this paper takes the rational planning of educational resources as the research object, analyzes the problems faced by the integration and sharing of educational resources, discusses the main direction of the integration and sharing of educational resources, designs the integration and sharing system of educational resources based on big data fusion, compares it with the traditional ant colony algorithm and cloud computing teaching resources integration and sharing system, and analyzes the performance and efficiency of this system. The educational resources integration and sharing system designed in this paper is closer to the ideal value and has stronger integration and sharing ability.
{"title":"Rational Planning of Educational Resources Based on Big Data Fusion","authors":"Jianliang Han","doi":"10.4018/ijwltt.331086","DOIUrl":"https://doi.org/10.4018/ijwltt.331086","url":null,"abstract":"The education system in China's education industry has been undergoing continuous reform. The current educational resources integration and sharing system is inefficient and needs a lot of time to find resources, which greatly affects the efficiency of education. The integration and sharing of educational resources have become unavoidable problems in teaching. In order to solve this problem, this paper takes the rational planning of educational resources as the research object, analyzes the problems faced by the integration and sharing of educational resources, discusses the main direction of the integration and sharing of educational resources, designs the integration and sharing system of educational resources based on big data fusion, compares it with the traditional ant colony algorithm and cloud computing teaching resources integration and sharing system, and analyzes the performance and efficiency of this system. The educational resources integration and sharing system designed in this paper is closer to the ideal value and has stronger integration and sharing ability.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135246774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aims at teaching solfeggio and ear training in college music and proposes a teaching method for college music note recognition that combines the musical instrument digital interface (MIDI) and hidden Markov models (HMM). The experiment showcases that after preprocessing the music frequency sample signal using HMM model, it achieves the target accuracy after 20 times of training. From the HMM transition probability matrix diagram estimated from all training data sets, it can be seen that the transition matrix is close to the diagonal matrix. This indicates its high transfer efficiency. This study compares the HMM model with the other two algorithms, and the results show that its accuracy rate is about 99.56%. The probability of insertion errors and elimination errors is 0.52% and 2.58%. This is superior to the other two algorithms. In summary, the HMM model proposed in the study has extremely strong performance in the teaching of music note feature recognition in universities and can provide better teaching methods.
{"title":"Solfeggio Teaching Method Based on MIDI Technology in the Background of Digital Music Teaching","authors":"Shuo Shen, Kehui Wu","doi":"10.4018/ijwltt.331085","DOIUrl":"https://doi.org/10.4018/ijwltt.331085","url":null,"abstract":"This research aims at teaching solfeggio and ear training in college music and proposes a teaching method for college music note recognition that combines the musical instrument digital interface (MIDI) and hidden Markov models (HMM). The experiment showcases that after preprocessing the music frequency sample signal using HMM model, it achieves the target accuracy after 20 times of training. From the HMM transition probability matrix diagram estimated from all training data sets, it can be seen that the transition matrix is close to the diagonal matrix. This indicates its high transfer efficiency. This study compares the HMM model with the other two algorithms, and the results show that its accuracy rate is about 99.56%. The probability of insertion errors and elimination errors is 0.52% and 2.58%. This is superior to the other two algorithms. In summary, the HMM model proposed in the study has extremely strong performance in the teaching of music note feature recognition in universities and can provide better teaching methods.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The lack of corresponding learning service platform will lead to the decline of the teaching quality of art education. Therefore, based on the principle of multi semantic fusion, this paper establishes a multi semantic art education exchange platform and discusses in detail the function mechanism in the process of establishing the platform. Then, the platform is applied to the art education and learning of students of different grades in colleges and universities. By comparing the art education and learning of students of different grades, the platform is designed and improved, which greatly improves the teaching quality of art education. At the same time, in view of the problems existing in the process of art education, the art education exchange platform based on multi semantic fusion can still put forward corresponding rectification measures. The experimental results show that the multi-semantic art education exchange platform is conducive to students of different grades learning art education courses and improving the quality of art education teaching.
{"title":"Design and Application of a Multi-Semantic Art Education Communication Platform","authors":"Changliang Guo","doi":"10.4018/ijwltt.331075","DOIUrl":"https://doi.org/10.4018/ijwltt.331075","url":null,"abstract":"The lack of corresponding learning service platform will lead to the decline of the teaching quality of art education. Therefore, based on the principle of multi semantic fusion, this paper establishes a multi semantic art education exchange platform and discusses in detail the function mechanism in the process of establishing the platform. Then, the platform is applied to the art education and learning of students of different grades in colleges and universities. By comparing the art education and learning of students of different grades, the platform is designed and improved, which greatly improves the teaching quality of art education. At the same time, in view of the problems existing in the process of art education, the art education exchange platform based on multi semantic fusion can still put forward corresponding rectification measures. The experimental results show that the multi-semantic art education exchange platform is conducive to students of different grades learning art education courses and improving the quality of art education teaching.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The setting of teaching environment is the key factor of teaching emotion recognition, and its superiority directly determines the teaching and learning effect between teachers and students. During online education, the changes of students' emotions are not paid attention to and addressed by teachers. Especially for young students, their self-study ability and self-discipline are poor, which further affects the learning. This paper proposes an improved convolutional neural network algorithm to create a decision tree model for managing students' scores. The experimental results show that the improved convolutional neural network algorithm improves the construction speed of the decision tree and reduces the calculation and execution time of the algorithm. The improved algorithm proposed in this paper has a good classification effect. The model provides a reference for the expansion and application of emotion recognition big data in education and teaching, and a feasible practical model for personalized teaching in online schools.
{"title":"Application of Convolution Neural Network Algorithm in Online Education Emotion Recognition","authors":"Zhaoxing Xu","doi":"10.4018/ijwltt.331077","DOIUrl":"https://doi.org/10.4018/ijwltt.331077","url":null,"abstract":"The setting of teaching environment is the key factor of teaching emotion recognition, and its superiority directly determines the teaching and learning effect between teachers and students. During online education, the changes of students' emotions are not paid attention to and addressed by teachers. Especially for young students, their self-study ability and self-discipline are poor, which further affects the learning. This paper proposes an improved convolutional neural network algorithm to create a decision tree model for managing students' scores. The experimental results show that the improved convolutional neural network algorithm improves the construction speed of the decision tree and reduces the calculation and execution time of the algorithm. The improved algorithm proposed in this paper has a good classification effect. The model provides a reference for the expansion and application of emotion recognition big data in education and teaching, and a feasible practical model for personalized teaching in online schools.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous development of speech recognition technology, automatic subtitle generation has gradually attracted people's attention. However, the level of short videos is uneven, and cultural teaching is also one-sided, irregular, and lacking systematicness. Since the media era, it is possible to apply the short video subtitle generation algorithm to international Chinese education and teaching. However, Chinese teachers should pay attention to some possible problems in self-media videos and adopt appropriate teaching strategies. This paper mainly discusses the development of international Chinese education and teaching under the new media environment, and discusses the characteristics, advantages, and disadvantages of international Chinese education and teaching under the new media environment, as well as the existing problems. Short video subtitle generation algorithm provides a new way for international Chinese education and teaching, enhances the vitality of education, and expands educational channels.
{"title":"Application of a Short Video Caption Generation Algorithm in International Chinese Education and Teaching","authors":"Qianhui Dai","doi":"10.4018/ijwltt.330990","DOIUrl":"https://doi.org/10.4018/ijwltt.330990","url":null,"abstract":"With the continuous development of speech recognition technology, automatic subtitle generation has gradually attracted people's attention. However, the level of short videos is uneven, and cultural teaching is also one-sided, irregular, and lacking systematicness. Since the media era, it is possible to apply the short video subtitle generation algorithm to international Chinese education and teaching. However, Chinese teachers should pay attention to some possible problems in self-media videos and adopt appropriate teaching strategies. This paper mainly discusses the development of international Chinese education and teaching under the new media environment, and discusses the characteristics, advantages, and disadvantages of international Chinese education and teaching under the new media environment, as well as the existing problems. Short video subtitle generation algorithm provides a new way for international Chinese education and teaching, enhances the vitality of education, and expands educational channels.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Data mining (DM) is an in-depth approach to data analysis by mining useful information from large amounts of data, and this technique is now being used in an increasing number of fields. In this paper, the authors present the design of a real-time data analysis system for sports training based on DM technology and use the corresponding mining tools of DM technology to discover relevant patterns or laws hidden in the data. Therefore, using the real-time data analysis system for sports training based on DM technology, useful information and patterns for improving examination performance can be obtained, which can improve targeted teaching methods and help students overcome learning difficulties, providing rational teaching, synchronizing courses, establishing preparation, effectively guiding students in course selection, and improving course quality and educational effectiveness.
{"title":"Design of an Instant Data Analysis System for Sports Training Based on Data Mining Technology","authors":"QunBi Lei","doi":"10.4018/ijwltt.330991","DOIUrl":"https://doi.org/10.4018/ijwltt.330991","url":null,"abstract":"Data mining (DM) is an in-depth approach to data analysis by mining useful information from large amounts of data, and this technique is now being used in an increasing number of fields. In this paper, the authors present the design of a real-time data analysis system for sports training based on DM technology and use the corresponding mining tools of DM technology to discover relevant patterns or laws hidden in the data. Therefore, using the real-time data analysis system for sports training based on DM technology, useful information and patterns for improving examination performance can be obtained, which can improve targeted teaching methods and help students overcome learning difficulties, providing rational teaching, synchronizing courses, establishing preparation, effectively guiding students in course selection, and improving course quality and educational effectiveness.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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