{"title":"Towards Computational Models for Mobile Learning Objects","authors":"G. Ayala, S. Castillo-Perez","doi":"10.1109/WMUTE.2008.15","DOIUrl":null,"url":null,"abstract":"Mobile learning objects must not be designed and developed as learning objects for personal computers, becoming just an adaptation to the restrictions of the interface of mobile devices. They should be designed, developed and used taking into consideration the advantages of mobile devices and the learning approaches that support mobile learning environments. In this paper we introduce a set of computational models for mobile learning objects. Our proposal consists of a personalization model, a collaboration model and an interaction model. These models are based on situated, collaborative and personalized learning, and support the context awareness, knowledge awareness and social awareness required for the effective use of learning objects in a mobile learning environment.","PeriodicalId":398579,"journal":{"name":"Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (wmute 2008)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (wmute 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WMUTE.2008.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
Mobile learning objects must not be designed and developed as learning objects for personal computers, becoming just an adaptation to the restrictions of the interface of mobile devices. They should be designed, developed and used taking into consideration the advantages of mobile devices and the learning approaches that support mobile learning environments. In this paper we introduce a set of computational models for mobile learning objects. Our proposal consists of a personalization model, a collaboration model and an interaction model. These models are based on situated, collaborative and personalized learning, and support the context awareness, knowledge awareness and social awareness required for the effective use of learning objects in a mobile learning environment.