{"title":"基于艾宾浩斯遗忘理论的移动微英语词汇系统设计","authors":"Weiyong Zheng","doi":"10.1109/ICICSE.2015.51","DOIUrl":null,"url":null,"abstract":"Learning English requires a large number of vocabulary memories and needs numerous practices of using grammatical structures. In order to improve the learning efficiency, we propose a mobile-based micro system to help quickly master vocabulary uses. The system is based the vocabulary classification with consideration of complexity. The system features lie in monitoring practical vocabulary usages in real time, hence to quickly increase students learning ability. The technology deployed in the system is based on the Ebbinghaus Forgetting Theory (EFT). The core of this system focuses on the vocabularies at the easily-forgettable pools (nodes). The nodes are generated based on the Ebbinghaus curving. The system highlights the importance of personalized learning curving and study procedure. The system helps learners to progressively increase the level of vocabulary, so they can handle difficult linguistic cases. The system allows learners to look over learning achievement and significantly improve vocabulary learning efficiency.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of Mobile Micro-English Vocabulary System Based on the Ebbinghaus Forgetting Theory\",\"authors\":\"Weiyong Zheng\",\"doi\":\"10.1109/ICICSE.2015.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning English requires a large number of vocabulary memories and needs numerous practices of using grammatical structures. In order to improve the learning efficiency, we propose a mobile-based micro system to help quickly master vocabulary uses. The system is based the vocabulary classification with consideration of complexity. The system features lie in monitoring practical vocabulary usages in real time, hence to quickly increase students learning ability. The technology deployed in the system is based on the Ebbinghaus Forgetting Theory (EFT). The core of this system focuses on the vocabularies at the easily-forgettable pools (nodes). The nodes are generated based on the Ebbinghaus curving. The system highlights the importance of personalized learning curving and study procedure. The system helps learners to progressively increase the level of vocabulary, so they can handle difficult linguistic cases. The system allows learners to look over learning achievement and significantly improve vocabulary learning efficiency.\",\"PeriodicalId\":159836,\"journal\":{\"name\":\"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSE.2015.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2015.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Mobile Micro-English Vocabulary System Based on the Ebbinghaus Forgetting Theory
Learning English requires a large number of vocabulary memories and needs numerous practices of using grammatical structures. In order to improve the learning efficiency, we propose a mobile-based micro system to help quickly master vocabulary uses. The system is based the vocabulary classification with consideration of complexity. The system features lie in monitoring practical vocabulary usages in real time, hence to quickly increase students learning ability. The technology deployed in the system is based on the Ebbinghaus Forgetting Theory (EFT). The core of this system focuses on the vocabularies at the easily-forgettable pools (nodes). The nodes are generated based on the Ebbinghaus curving. The system highlights the importance of personalized learning curving and study procedure. The system helps learners to progressively increase the level of vocabulary, so they can handle difficult linguistic cases. The system allows learners to look over learning achievement and significantly improve vocabulary learning efficiency.