A study of video-based concordancer on scene classification

Tz Yung Fang, Jie Chi Yang, Yu Chieh Wu, Chi Cheng Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Video-based concordancer can be used to provide a scenario that engage context information of studying novel words. Usually, a fixed number of contextual sentences are retrieved accompanying the keywords. However, there may be a lack of complete context for learners to comprehend the keywords in the videos. Few studies have discussed about how the videos are presented to assist learners to use the keywords appropriately, and lead learners to find relevant knowledge effectively. In this paper, a keyword-inscene video concordance (KWIS), which recognizes the scenes in the videos and provides the scene-based clips, is proposed. Each video clip is tagged actual scene type information. Learners are able to query the KWIS system with keywords, phrases, or natural language sentences, and watch relevant scenario clips to understand where the conversation can be carried on. A pilot study was conducted to evaluate the proposed system. The result shows that there is a positive effect on students' comprehension of English phrases while using the system.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
頁面78-82
頁數5
DOIs
出版狀態已出版 - 2011
事件2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, GA, United States
持續時間: 6 7月 20118 7月 2011

出版系列

名字Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011

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???event.eventtypes.event.conference???2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
國家/地區United States
城市Athens, GA
期間6/07/118/07/11

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