{"title":"基于云模型的5E在线学习情感体验分析方法","authors":"Yumin Zheng, Chaowang Shang, Cheng Feng, Han Yue","doi":"10.1109/IEIR56323.2022.10050071","DOIUrl":null,"url":null,"abstract":"5E Online learning is the main form of integrated teaching, and the emotional experience of 5E online learning is an important embodiment of learners’ learning input. Based on the Ekman theoretical model, this paper designs and develops a cloud model of 5E online learning emotional experience with the six dimensions of “happy, relaxed, anxious, surprised, sad, and boredom which takes the area of the cloud as the main parameter. It determines the characteristic vectors and observation functions that characterize the learner’s emotional experience and evaluates the learner’s 5E online learning emotional experience. Otherwise, it promotes the learner’s 5E online learning ability and optimizes the evaluation of the online teaching process. Taking MOOCS as an example, this paper applies the cloud model to evaluate students’ emotions and verifies its effectiveness through specific data. This method enriches the methods of emotion calculation and characterization for online learners and provides a reference for the current multi-modal sentiment analysis research.","PeriodicalId":183709,"journal":{"name":"2022 International Conference on Intelligent Education and Intelligent Research (IEIR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Analysis Method of 5E Online Learning Emotional Experience based on Cloud Model\",\"authors\":\"Yumin Zheng, Chaowang Shang, Cheng Feng, Han Yue\",\"doi\":\"10.1109/IEIR56323.2022.10050071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"5E Online learning is the main form of integrated teaching, and the emotional experience of 5E online learning is an important embodiment of learners’ learning input. Based on the Ekman theoretical model, this paper designs and develops a cloud model of 5E online learning emotional experience with the six dimensions of “happy, relaxed, anxious, surprised, sad, and boredom which takes the area of the cloud as the main parameter. It determines the characteristic vectors and observation functions that characterize the learner’s emotional experience and evaluates the learner’s 5E online learning emotional experience. Otherwise, it promotes the learner’s 5E online learning ability and optimizes the evaluation of the online teaching process. Taking MOOCS as an example, this paper applies the cloud model to evaluate students’ emotions and verifies its effectiveness through specific data. This method enriches the methods of emotion calculation and characterization for online learners and provides a reference for the current multi-modal sentiment analysis research.\",\"PeriodicalId\":183709,\"journal\":{\"name\":\"2022 International Conference on Intelligent Education and Intelligent Research (IEIR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Education and Intelligent Research (IEIR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEIR56323.2022.10050071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Education and Intelligent Research (IEIR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEIR56323.2022.10050071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Analysis Method of 5E Online Learning Emotional Experience based on Cloud Model
5E Online learning is the main form of integrated teaching, and the emotional experience of 5E online learning is an important embodiment of learners’ learning input. Based on the Ekman theoretical model, this paper designs and develops a cloud model of 5E online learning emotional experience with the six dimensions of “happy, relaxed, anxious, surprised, sad, and boredom which takes the area of the cloud as the main parameter. It determines the characteristic vectors and observation functions that characterize the learner’s emotional experience and evaluates the learner’s 5E online learning emotional experience. Otherwise, it promotes the learner’s 5E online learning ability and optimizes the evaluation of the online teaching process. Taking MOOCS as an example, this paper applies the cloud model to evaluate students’ emotions and verifies its effectiveness through specific data. This method enriches the methods of emotion calculation and characterization for online learners and provides a reference for the current multi-modal sentiment analysis research.