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dc.contributor.authorShih, Wen-Chungen_US
dc.contributor.authorTseng, Shian-Shyongen_US
dc.contributor.authorYang, Che-Chingen_US
dc.contributor.authorLin, Chih-Yuen_US
dc.contributor.authorLiang, Tyneen_US
dc.date.accessioned2014-12-08T15:22:27Z-
dc.date.available2014-12-08T15:22:27Z-
dc.date.issued2012-01-01en_US
dc.identifier.issn1436-4522en_US
dc.identifier.urihttp://hdl.handle.net/11536/15888-
dc.description.abstractIn this work ubiquitous learning technologies are applied to Chinese scenic poetry appreciation. A folksonomy-based approach is proposed to accumulate knowledge about poems and their corresponding scenic spots. A user can use a "Tagging" operation by a smart phone to associate a concept (a word, a phrase or a sentence) with a scenic spot. These associations will be recorded in a folksonomy, which is then transformed into a Learning Guidance Tree to support personalized guidance in u-learning environments. The purpose of this work is to propose a folksonomy-based guidance mechanism. Also, we attempt to find students' and teachers' attitudes towards the innovative application through a case study. To show the effectiveness of the innovative approach, a ubiquitous learning system was developed to conduct Chinese scenic poetry appreciation activities for a fifth-grade Chinese course in Taiwan, in which forty-eight students participated. The survey results show that the system had a positive impact on students' learning, especially on the affective domain including participation, motivation and interaction.en_US
dc.language.isoen_USen_US
dc.subjectChinese scenic poetryen_US
dc.subjectUbiquitous learningen_US
dc.subjectFolksonomyen_US
dc.subjectContext-awareen_US
dc.subjectTaggingen_US
dc.titleA Folksonomy-based Guidance Mechanism for Context-aware Ubiquitous Learning: A Case Study of Chinese Scenic Poetry Appreciation Activitiesen_US
dc.typeArticleen_US
dc.identifier.journalEDUCATIONAL TECHNOLOGY & SOCIETYen_US
dc.citation.volume15en_US
dc.citation.issue1en_US
dc.citation.spage90en_US
dc.citation.epage101en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000301109100009-
dc.citation.woscount1-
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