標題: Interview-Based Photo Tagging for Expressing Course Concepts in Ubiquitous Chinese Poetry Learning
作者: Shih, Wen-Chung
Tseng, Shian-Shyong
Yang, Che-Ching
Weng, Jui-Feng
Liang, Tyne
資訊工程學系
Department of Computer Science
關鍵字: Ubiquitous learning;Chinese poetry learning;Intention finding;Tag mapping;Interview-based approach;Ontology
公開日期: 2008
摘要: Traditional Chinese poetry instruction mainly focuses on vocabulary explanation and recitation, through which it is not easy for students to catch the embedded meaning of the poems. Ubiquitous learning. emerging as a promising learning, paradigm. can provide an adaptive environment according to the learner's context. When the learner is situated in till environment similar to what the poem describes. it will be easier for the learner to understand what the poet meant, thus enhancing the learning performance. To support the poetry appreciation in U-Learning, environments. our idea is to provide an interview-based tool which can assist students to clearly express their intended concepts for a Chinese poem. We reduce the Course Concept Expression problem to the interview-based tagging problem. The interview-based methodology consists of several iterations to find the user's intended concept for a poem. A prototype has been implemented, which will be used to evaluate the effectiveness of the proposed approach in the near future.
URI: http://hdl.handle.net/11536/153
ISBN: 978-3-540-87782-0
ISSN: 1865-0929
期刊: OPEN KNOWLEDGE SOCIETY: A COMPUTER SCIENCE AND INFORMATION SYSTEMS MANIFESTO
Volume: 19
起始頁: 586
結束頁: 592
顯示於類別:會議論文