Adaptive Mobile Learning Platform Considering Ambient Intelligence

• Main Authors: Shir-Shiang Han, 韓世翔
• Other Authors: Chih-Hao Lin
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/3x5532

碩士 === 中原大學 === 資訊管理研究所 === 92 === Today, improvements of wireless communicate network make the hand-hold device access network resources easily including E-learning’s content. E-learning supports the learner to learn at any time, and learning can be taken place at anywhere if the learner gets learning content with his hand-hold device. The character of using hand-hold device to access learning content is different from E-learning. It has to support the availability of sensing context about the learner and provide the learning content with mobile metadata. The strength of M-leaning/Mobile leaning that the thesis argues is personalization and mobility. M-learning platform captures the specific (geographical or temporal) information about the learner’s environment and to infer a proper learning objects list for the learner through measuring the similarity of reality and learning object’s pattern. This strategy derives from the theory of situated learning, it claims that every idea and human action is a generalization, adapted to the ongoing environment, because what people see and what they do arise together. The thesis also proposes a prototype supports English learning at anytime and anywhere. There are six properties in the prototype, 1) Situated learning, 2) Context awareness, 3) Scaffolding teaching, 4) Fuzzy reasoning, 5) Adaptive navigation, and 6) Learner orientation. The prototype bases on some theories like learning object metadata, context dependent fuzzy knowledge, measure of similarity, and flow model.