{"title":"人工智能辅助电子学习","authors":"Hsiao-Hui Li, Yuan-Hsun Liao, Yuehua Wu","doi":"10.1109/ICCSE.2019.8845449","DOIUrl":null,"url":null,"abstract":"Teaching norms are taught through the way of large class teaching. Nowadays, most of the teaching method is still dependent on physical classes. Therefore, it’s hard to design individual lesson based on different students’ ability to achieve fundamental education. Good teaching is” According to the ability, ambition and interest of different learners, give appropriate teaching methods”. Therefore, this paper is analysis students learning effectiveness through artificial intelligence adjusting the learning content and curriculum according to different learners to give learners the most appropriate learning style. The design can achieve personalized learning and auto-didacticism and instant feedback to meet the learners’ different learning styles and thus improve the overall learning benefits.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Artificial Intelligence to Assist E-Learning\",\"authors\":\"Hsiao-Hui Li, Yuan-Hsun Liao, Yuehua Wu\",\"doi\":\"10.1109/ICCSE.2019.8845449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Teaching norms are taught through the way of large class teaching. Nowadays, most of the teaching method is still dependent on physical classes. Therefore, it’s hard to design individual lesson based on different students’ ability to achieve fundamental education. Good teaching is” According to the ability, ambition and interest of different learners, give appropriate teaching methods”. Therefore, this paper is analysis students learning effectiveness through artificial intelligence adjusting the learning content and curriculum according to different learners to give learners the most appropriate learning style. The design can achieve personalized learning and auto-didacticism and instant feedback to meet the learners’ different learning styles and thus improve the overall learning benefits.\",\"PeriodicalId\":351346,\"journal\":{\"name\":\"2019 14th International Conference on Computer Science & Education (ICCSE)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th International Conference on Computer Science & Education (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2019.8845449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th International Conference on Computer Science & Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2019.8845449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Teaching norms are taught through the way of large class teaching. Nowadays, most of the teaching method is still dependent on physical classes. Therefore, it’s hard to design individual lesson based on different students’ ability to achieve fundamental education. Good teaching is” According to the ability, ambition and interest of different learners, give appropriate teaching methods”. Therefore, this paper is analysis students learning effectiveness through artificial intelligence adjusting the learning content and curriculum according to different learners to give learners the most appropriate learning style. The design can achieve personalized learning and auto-didacticism and instant feedback to meet the learners’ different learning styles and thus improve the overall learning benefits.