Based on information technology to promote the upgrading of various industries, the core of Industry 4.0, the current internet big data has gradually become a hot spot of social development, and a huge amount of data gushes out. Music is the education of beauty, and it is a key to inspire people to be true and good. China has been a land of culture and music since ancient times, and has a very high position in the history of world music. Combining advanced information technology with traditional music education to promote the development of national music education is of great significance to quality education. Based on the high-speed development of the era of big data, this article studies the specific application of big data technology in college music education, helps college students to cultivate open thinking and improve their independent music learning ability through online teaching platform, and formulates different teaching plans according to students' music learning data.
{"title":"Application of Big Data Technology in College Music Education","authors":"Jiang Bian, Tao Yang","doi":"10.4018/ijwltt.336838","DOIUrl":"https://doi.org/10.4018/ijwltt.336838","url":null,"abstract":"Based on information technology to promote the upgrading of various industries, the core of Industry 4.0, the current internet big data has gradually become a hot spot of social development, and a huge amount of data gushes out. Music is the education of beauty, and it is a key to inspire people to be true and good. China has been a land of culture and music since ancient times, and has a very high position in the history of world music. Combining advanced information technology with traditional music education to promote the development of national music education is of great significance to quality education. Based on the high-speed development of the era of big data, this article studies the specific application of big data technology in college music education, helps college students to cultivate open thinking and improve their independent music learning ability through online teaching platform, and formulates different teaching plans according to students' music learning data.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140474032","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 article discusses the ecological environment moral education of college students based on deep learning. This article first points out the concept of deep learning and the relationship between ecological civilization and college students' ecological environment morality. Then, it expounds the latest concepts and achievements of ecological civilization in China, analyzes the deficiencies and reasons of current college students' ecological moral education, and clearly points out the significance of strengthening college students' ecological moral education based on in-depth learning. This article focuses on the main contents and principles of setting suggestions of the ecological environment moral education for college students. Finally, it gives the countermeasures for the ecological environment moral education of college students based on deep learning. It focuses on the theoretical realization of college students' ecological environmental moral education from the perspective of deep learning, aiming at promoting the construction of ecological civilization.
{"title":"College Students ' Ecological Environment Moral Education From the Perspective of Ecological Civilization","authors":"Renjun Yao, R. Ajjawi","doi":"10.4018/ijwltt.336833","DOIUrl":"https://doi.org/10.4018/ijwltt.336833","url":null,"abstract":"This article discusses the ecological environment moral education of college students based on deep learning. This article first points out the concept of deep learning and the relationship between ecological civilization and college students' ecological environment morality. Then, it expounds the latest concepts and achievements of ecological civilization in China, analyzes the deficiencies and reasons of current college students' ecological moral education, and clearly points out the significance of strengthening college students' ecological moral education based on in-depth learning. This article focuses on the main contents and principles of setting suggestions of the ecological environment moral education for college students. Finally, it gives the countermeasures for the ecological environment moral education of college students based on deep learning. It focuses on the theoretical realization of college students' ecological environmental moral education from the perspective of deep learning, aiming at promoting the construction of ecological civilization.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140474060","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}
Multimedia information fusion technology is currently a popular technology for data processing. The advanced productivity it brings is dozens of times that of traditional data information processing. The collected and processed information is not only efficient and accurate, but also has strong scalability. With the continuous development of college education in China, the problem of the construction of intelligent library in colleges and universities has gradually surfaced. The establishment of a university intelligent library is a process of integration and common progress between disciplines. This article starts from the current situation of university libraries, studies and analyzes intelligent libraries at home and abroad, and finally combines the existing multimedia information fusion technology to analyze the theoretical level of information flow as an important idea of the current university intelligent library construction.
{"title":"The Application of Multimedia Information Fusion Technology in the Construction of University Intelligent Libraries","authors":"Nan Pang","doi":"10.4018/ijwltt.336850","DOIUrl":"https://doi.org/10.4018/ijwltt.336850","url":null,"abstract":"Multimedia information fusion technology is currently a popular technology for data processing. The advanced productivity it brings is dozens of times that of traditional data information processing. The collected and processed information is not only efficient and accurate, but also has strong scalability. With the continuous development of college education in China, the problem of the construction of intelligent library in colleges and universities has gradually surfaced. The establishment of a university intelligent library is a process of integration and common progress between disciplines. This article starts from the current situation of university libraries, studies and analyzes intelligent libraries at home and abroad, and finally combines the existing multimedia information fusion technology to analyze the theoretical level of information flow as an important idea of the current university intelligent library construction.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140477471","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}
In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.
{"title":"Optimization of Classroom Teaching Quality Based on Multimedia Feature Extraction Technology","authors":"Lin Zhu, Shujuan Xue","doi":"10.4018/ijwltt.336851","DOIUrl":"https://doi.org/10.4018/ijwltt.336851","url":null,"abstract":"In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140477267","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}
In order to deeply analyze and evaluate the changes in the comprehensive quality of college students' sports dance, the overall idea of systematically evaluating the changes in the comprehensive quality of college students' sports dance was established. Firstly, this article uses the triangular fuzzy number method to measure the evaluation information of the evaluator's dance curriculum plan according to the evaluation indicators. Then, evaluation information from different groups and analytic hierarchy process (AHP) are used to determine the weight of each evaluation index. Finally, this article constructs a website system based on Python's Django framework. In the final system test and questionnaire survey, it was found that users were relatively satisfied with the accuracy of their evaluations and believed that the accurate performance of in-depth learning data analysis would help them save more time and effort in course selection.
{"title":"Design and Application of Dance Teaching and Evaluation System Based on Big Data","authors":"Sa Li, Jingjing Dong","doi":"10.4018/ijwltt.335114","DOIUrl":"https://doi.org/10.4018/ijwltt.335114","url":null,"abstract":"In order to deeply analyze and evaluate the changes in the comprehensive quality of college students' sports dance, the overall idea of systematically evaluating the changes in the comprehensive quality of college students' sports dance was established. Firstly, this article uses the triangular fuzzy number method to measure the evaluation information of the evaluator's dance curriculum plan according to the evaluation indicators. Then, evaluation information from different groups and analytic hierarchy process (AHP) are used to determine the weight of each evaluation index. Finally, this article constructs a website system based on Python's Django framework. In the final system test and questionnaire survey, it was found that users were relatively satisfied with the accuracy of their evaluations and believed that the accurate performance of in-depth learning data analysis would help them save more time and effort in course selection.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138947434","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}
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and teaching effectiveness assessment tasks. Specifically, first, the joint point location information of the human body in the input image is extracted using the human skeleton analysis algorithm, and modeling the foreground and background pose information of the target region using the Pix2Pix image transformation algorithm; second, multi-scale features such as nodal location features, foreground and background features, high-resolution detail features, and low-resolution global features are fused and the extracted multi-scale features are also decoded with the help of pixel-aligned implicit functions to generate a 3D model of the human body representing the human form.
{"title":"Analysis of Artificial Intelligence Technology and Its Application in Improving the Effectiveness of Physical Education Teaching","authors":"Rui Guo","doi":"10.4018/ijwltt.335115","DOIUrl":"https://doi.org/10.4018/ijwltt.335115","url":null,"abstract":"To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and teaching effectiveness assessment tasks. Specifically, first, the joint point location information of the human body in the input image is extracted using the human skeleton analysis algorithm, and modeling the foreground and background pose information of the target region using the Pix2Pix image transformation algorithm; second, multi-scale features such as nodal location features, foreground and background features, high-resolution detail features, and low-resolution global features are fused and the extracted multi-scale features are also decoded with the help of pixel-aligned implicit functions to generate a 3D model of the human body representing the human form.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138946097","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 internet, which is constantly advancing in technology, together with the rapidly changing internet communication technology terminals, has formed a new internet media, which has penetrated into all fields of human material life and spiritual life. This article proposes a design scheme for optimizing the impact of internet environment health on college pupils' ideological and moral education and the promotion path. It summarizes the influencing factors of contemporary college pupils' ideological and moral education through cluster analysis, optimizes the factors using Apriori arithmetic in data mining, and realizes the promotion of the path to solve problems. Finally, it carries out simulation testing and analysis. In order to promote the effective development of college pupils' ideological and political education, we should strengthen the internet management, purify the internet environment, strengthen the construction of “red websites,” and enhance their attractiveness.
{"title":"The Influence of Internet Environment Health on College Pupils' Ideological and Moral Education and Its Promotion","authors":"Juanjuan Niu","doi":"10.4018/ijwltt.335080","DOIUrl":"https://doi.org/10.4018/ijwltt.335080","url":null,"abstract":"The internet, which is constantly advancing in technology, together with the rapidly changing internet communication technology terminals, has formed a new internet media, which has penetrated into all fields of human material life and spiritual life. This article proposes a design scheme for optimizing the impact of internet environment health on college pupils' ideological and moral education and the promotion path. It summarizes the influencing factors of contemporary college pupils' ideological and moral education through cluster analysis, optimizes the factors using Apriori arithmetic in data mining, and realizes the promotion of the path to solve problems. Finally, it carries out simulation testing and analysis. In order to promote the effective development of college pupils' ideological and political education, we should strengthen the internet management, purify the internet environment, strengthen the construction of “red websites,” and enhance their attractiveness.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138947339","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 development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this article proposes a new method for evaluating sound quality based on one-dimensional convolutional neural networks. It uses sound preprocessing, BP neural networks, wavelet neural networks, and one-dimensional CNNs to improve pronunciation quality. The proposed 1D CNN network is more suitable for one-dimensional sound signals and can effectively solve problems such as feature information fusion, pitch period detection, and network construction. It can evaluate singing art sound quality with minimum errors, good robustness, and strong portability. This method can be used for the evaluation and diagnosis of voice diseases, helping to improve students' professional abilities.
{"title":"A Method for Improving the Pronunciation Quality of Vocal Music Students Based on Big Data Technology","authors":"Dan Shen, Wenjia Zhao","doi":"10.4018/ijwltt.335034","DOIUrl":"https://doi.org/10.4018/ijwltt.335034","url":null,"abstract":"With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this article proposes a new method for evaluating sound quality based on one-dimensional convolutional neural networks. It uses sound preprocessing, BP neural networks, wavelet neural networks, and one-dimensional CNNs to improve pronunciation quality. The proposed 1D CNN network is more suitable for one-dimensional sound signals and can effectively solve problems such as feature information fusion, pitch period detection, and network construction. It can evaluate singing art sound quality with minimum errors, good robustness, and strong portability. This method can be used for the evaluation and diagnosis of voice diseases, helping to improve students' professional abilities.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995194","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}
Jingyuan Chen, Zongjian Fu, Hongfeng Liu, Jinku Wang
With its immersive, interactive, and creative capabilities, virtual reality (VR) has been widely used in educational settings to provide students with challenging real-world experiences. As a result, interest in its effectiveness has grown. The goal of this meta-analysis is to examine how VR technology affects students' motivation to study. A comprehensive analysis of the literature up to December 2022 revealed 15 randomized controlled trials or quasi-experimental studies. These studies were also coded to examine the moderating effects of their features, such as types of learner engagement, learner stages, learning domains, types of VR technology, and the moderating effect of knowledge types. The results indicate a large effect of VR on student engagement in learning (g=0.85). Furthermore, the findings of the moderator analysis demonstrate that VR has a more significant impact on cognitive engagement, higher education learners, immersive VR experiences, the field of art education, and procedural knowledge learning.
{"title":"Effectiveness of Virtual Reality on Learning Engagement","authors":"Jingyuan Chen, Zongjian Fu, Hongfeng Liu, Jinku Wang","doi":"10.4018/ijwltt.334849","DOIUrl":"https://doi.org/10.4018/ijwltt.334849","url":null,"abstract":"With its immersive, interactive, and creative capabilities, virtual reality (VR) has been widely used in educational settings to provide students with challenging real-world experiences. As a result, interest in its effectiveness has grown. The goal of this meta-analysis is to examine how VR technology affects students' motivation to study. A comprehensive analysis of the literature up to December 2022 revealed 15 randomized controlled trials or quasi-experimental studies. These studies were also coded to examine the moderating effects of their features, such as types of learner engagement, learner stages, learning domains, types of VR technology, and the moderating effect of knowledge types. The results indicate a large effect of VR on student engagement in learning (g=0.85). Furthermore, the findings of the moderator analysis demonstrate that VR has a more significant impact on cognitive engagement, higher education learners, immersive VR experiences, the field of art education, and procedural knowledge learning.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998259","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}
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing principles of improved decision tree algorithm, and the information gain of the algorithm determines the inheritance of information. The process of modern e-learning system is based on personalized teaching and humanized intelligent interaction. This paper theoretically analyzes the improvement performance of the existing e-learning system in teaching quality evaluation and shows a good classification effect. This model provides reference materials for the expansion of education and teaching and provides a feasible practical model for personalized teaching in online schools. The authors provide good educational conditions and environment for students and cultivate all-around talents for the society.
{"title":"Evaluation Model of Modern Network Teaching Quality Based on Artificial Intelligence E-Learning","authors":"Hongyu Xie, He Xiao, Yu Hao","doi":"10.4018/ijwltt.334850","DOIUrl":"https://doi.org/10.4018/ijwltt.334850","url":null,"abstract":"Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing principles of improved decision tree algorithm, and the information gain of the algorithm determines the inheritance of information. The process of modern e-learning system is based on personalized teaching and humanized intelligent interaction. This paper theoretically analyzes the improvement performance of the existing e-learning system in teaching quality evaluation and shows a good classification effect. This model provides reference materials for the expansion of education and teaching and provides a feasible practical model for personalized teaching in online schools. The authors provide good educational conditions and environment for students and cultivate all-around talents for the society.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138996686","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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