Navigation Support Mechanisms Considering Relationship among Learning Objects for Context Aware Ubiquitous Learning / 考慮教材關聯度之情境感知無所不在學習導引機制

碩士 / 中華大學 / 資訊工程學系碩士班 / 102 / Recently, navigation support problem have been widely discussed in the context-aware ubiquitous learning. Many navigation mechanisms were proposed for solving the problem, but it is found that the learning efficacy is still poor when there is crow of people in the ubiquitous learning environment or the moving time between learning targets is too long. In order to deal with the situations, “hybrid ubiquitous learning navigation support mechanisms" was proposed. In addition, many studies of cognitive development theory also indicate that the learning efficacy can be improved when the learning sequence follows the knowledge relationship among the learning materials. However, if the knowledge relationship among the learning materials is considered in the ubiquitous learning navigation, learners may spend extra cost on moving to a farer learning targets which has the large relationship degree than the near ones which reduced the learning efficacy. Therefore, the hybrid ubiquitous learning environment is employed in our proposed “context-aware ubiquitous learning navigation support mechanisms with considering relationship among learning objects”. Moreover, in order to help teachers to analyze and construct the relationship among learning objects efficiently, a repertory grid base relationship analysis system is also implemented.
In order to verify the effectiveness of our proposed navigation mechanisms, two navigation systems for "hybrid ubiquitous learning environment" and "ubiquitous learning environment" are implemented. Instruction experiments are conducted and the results show that “hybrid ubiquitous learning navigation support mechanisms” outperforms “ubiquitous learning navigation support mechanisms“. The results of the satisfaction questionnaire also show that two systems are ranked as satisfied.

Identiferoai:union.ndltd.org:TW/102CHPI5392014
Date January 2014
CreatorsSYUE, YU-LIN, 薛裕霖
ContributorsJudy C. R. Tseng, 曾秋蓉
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format86

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