{"title":"Evaluation of Interactive College Piano Teaching's Effect Based on Artificial Intelligence Technology","authors":"Ying Liu","doi":"10.4018/ijwltt.335079","DOIUrl":"https://doi.org/10.4018/ijwltt.335079","url":null,"abstract":"In recent years, with the economic development of various countries, education has also made great leaps, and piano teaching has been popularized and promoted in various universities. Pianos are also put into use in universities through normal channels. According to the survey, there are certain drawbacks in the teaching process of piano, which hinder the teaching effect to a great extent. In order to better adapt to the interactive teaching mode, this paper takes the flipped classroom in piano teaching as an example to conduct a systematic study based on the method of artificial intelligence. This paper introduces three typical artificial intelligence technologies and analyzes the three evaluative indicators corresponding to the effect of piano interactive teaching. The analysis results show that the prediction effect based on fuzzy neural inference system is the best. In addition, the three-dimensional display of the prediction data shows that the prediction effect obtained by artificial intelligence shows a strong consistency with the actual evaluation effect.","PeriodicalId":506438,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174637","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}
{"title":"Application Analysis of Artificial Intelligence Technology in Electrical Engineering Teaching","authors":"Zida Li, Akmal Khan","doi":"10.4018/ijwltt.334111","DOIUrl":"https://doi.org/10.4018/ijwltt.334111","url":null,"abstract":"This article combines the characteristics of artificial intelligence technology and educational technology to realize the possibility of application in electrical automatic control systems, and applies artificial intelligence and educational technology to electrical engineering examples such as monitoring fire alarm open circuit design and smoke box appearance inspection in power transformation and distribution systems. Analyze the impact of artificial intelligence on electrical automation technology. The research results show that artificial intelligence and education can make electrical automation technology have the characteristics of simplification, distribution, informatization, diversity, flexibility, continuity, real-time and control complexity. Use artificial intelligence technology and educational technology to effectively analyze and process electrical engineering related parameters and data, reduce the use of lines and transformers, simplify work procedures, reduce error rates, save manpower, material resources and costs, and improve the accuracy of automatic control.","PeriodicalId":506438,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139226497","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}
{"title":"Exploring the English Teaching Model Based on College Students' Participation in Natural Environment Integration","authors":"Dan Zhao, Ji Li, Yanping Wang","doi":"10.4018/ijwltt.333710","DOIUrl":"https://doi.org/10.4018/ijwltt.333710","url":null,"abstract":"In ELT, how to assess and evaluate students' natural factors by labeling and classifying them has become a key issue. Based on this, this paper makes an in-depth study on the application of natural environment incorporation algorithm based on deep learning in English teaching. First, this paper briefly explains the background and development direction of the current applications in ELT, and categorizes, summarizes, and analyzes them, focusing on the characteristics, problems, and issues of each study itself, and dissecting their limitations. Secondly, the environmental integration technologies in English teaching are categorized, and an intelligent and smart teaching assessment scheme is proposed, combined with the assessment of English teaching mode. Finally, the paper also conducts an experimental validation. The results of the study show that applying English assessment methods to learners of different English levels to their categorized English teaching can improve the quality of English teaching.","PeriodicalId":506438,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":"28 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139274465","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}