{"title":"增强学习:用于学习的上下文感知移动增强现实架构","authors":"J. Doswell","doi":"10.1109/ICALT.2006.84","DOIUrl":null,"url":null,"abstract":"Mobile augmented reality system (MARS) based e-learning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS has the potential to adapt to individual learner needs and dynamically distribute tailored instruction to improve learning performance for a life time. While using MARS, learners may interact with their natural environment while MARS digitally annotates real-world objects with digital content. This digital content may combine multi-modal animation, graphics, text, and video as well as voice used to augment instruction based on empirical pedagogical models. The challenge, however, is building a MARS software architecture that fulfills this potential and is also reusable, interoperable, and adaptive to individual augmented reality (AR) \"heads-up displays\" while, at the same time, capable of delivering personalized instruction to the learner","PeriodicalId":394051,"journal":{"name":"Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning\",\"authors\":\"J. Doswell\",\"doi\":\"10.1109/ICALT.2006.84\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile augmented reality system (MARS) based e-learning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS has the potential to adapt to individual learner needs and dynamically distribute tailored instruction to improve learning performance for a life time. While using MARS, learners may interact with their natural environment while MARS digitally annotates real-world objects with digital content. This digital content may combine multi-modal animation, graphics, text, and video as well as voice used to augment instruction based on empirical pedagogical models. The challenge, however, is building a MARS software architecture that fulfills this potential and is also reusable, interoperable, and adaptive to individual augmented reality (AR) \\\"heads-up displays\\\" while, at the same time, capable of delivering personalized instruction to the learner\",\"PeriodicalId\":394051,\"journal\":{\"name\":\"Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT.2006.84\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2006.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning
Mobile augmented reality system (MARS) based e-learning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS has the potential to adapt to individual learner needs and dynamically distribute tailored instruction to improve learning performance for a life time. While using MARS, learners may interact with their natural environment while MARS digitally annotates real-world objects with digital content. This digital content may combine multi-modal animation, graphics, text, and video as well as voice used to augment instruction based on empirical pedagogical models. The challenge, however, is building a MARS software architecture that fulfills this potential and is also reusable, interoperable, and adaptive to individual augmented reality (AR) "heads-up displays" while, at the same time, capable of delivering personalized instruction to the learner