{"title":"基于智能最短路径算法的课程单元自动自适应学习","authors":"I. A. Alshalabi, Samir E. Hamada, K. Elleithy","doi":"10.1109/LISAT.2015.7160187","DOIUrl":null,"url":null,"abstract":"The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Automated adaptive learning using smart shortest path algorithm for course units\",\"authors\":\"I. A. Alshalabi, Samir E. Hamada, K. Elleithy\",\"doi\":\"10.1109/LISAT.2015.7160187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.\",\"PeriodicalId\":235333,\"journal\":{\"name\":\"2015 Long Island Systems, Applications and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Long Island Systems, Applications and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISAT.2015.7160187\",\"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 Long Island Systems, Applications and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISAT.2015.7160187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated adaptive learning using smart shortest path algorithm for course units
The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.