政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/51969

政大典藏 > College of Liberal Arts > Graduate Institute of Library, Information and Archival Studies > NSC Projects > Item 140.119/51969

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/51969

Title:	基於合作式數位閱讀標註知識典藏與分享之雲端高互動閱讀學習社群平台建置與研究
Other Titles:	Developing a Cooperative Digital Reading Annotation System with Reading Knowledge Archiving and Scharing Mechanisms Based on Cloud Computing Technology for Building Reading Learning Community
Authors:	陳志銘
Contributors:	行政院國家科學委員會國立政治大學圖書資訊與檔案學研究所
Keywords:	自律學習;合作式閱讀標註系統;第二語言學習;self-regulated learning;collaborative reading annotation system;second language learning
Date:	2010
Issue Date:	2011-11-14 10:50:49 (UTC+8)
Abstract:	由於資訊科技發展日新月異，基於數位文本閱讀之閱讀載體也不斷的推陳出新，因而改變了人們的閱讀習慣，儼然數位閱讀已經成為未來發展趨勢。因此發展數位閱讀環境下的相關輔助閱讀系統與輔助閱讀策略，提升學習者於數位閱讀環境中的閱讀學習成效，已成為刻不容緩的研究議題。過去的研究指出，在閱讀過程中所留下來的標註，對於後來的讀者具有相當高的利用價值，因此若能利用Web 2.0 及雲端運算技術發展一個可以支援讀者進行閱讀標註的合作式數位閱讀標註系統，可以方便讀者對於數位文本進行閱讀標註，並透過多人對共同數位文本下註解的方式，達到讀者閱讀知識典藏與分享的目的。此外在同一份文本上呈現出不同讀者的觀點，也有助於激發批判性思考與知識辯證的效益，也可增進讀者對於數位文本的閱讀理解深度與廣度。因此，本研究擬於計畫執行的四年期間發展一「基於合作式數位閱讀標註知識典藏與分享之雲端高互動閱讀學習社群平台」，使得教師可以據此有效經營閱讀課程，讀者可以對於任意網頁式數位文本進行閱讀標註與標註內容互動討論，進而典藏、累積及分享閱讀知識，並基於大量讀者閱讀標註行為，應用資料探勘技術發展基於閱讀標註共識萃取之優質閱讀標註推薦及閱讀標註技巧建議機制，更進一步發展個人化閱讀焦慮程度預測機制，並基於造成讀者閱讀焦慮因素發展對應之有效降低閱讀焦慮輔助策略，最後整合發展為一雲端高互動閱讀學習社群平台，並評估其對於提升閱讀技巧、閱讀理解成效及降低閱讀焦慮上的助益。 As the rapid development of information technology, the digital reading has revolutionized learners’ reading habits while more and more digital-based texts replace paper-based texts for reading learning. Obviously, the digital reading has become a development trend in the digital age. Therefore, how to develop an effective digital reading system which provides intelligent mechanisms for promoting reading performance is becoming an essential research issue. Many past studies indicated that annotated digital material provides useful knowledge to readers. The values to those annotating and subsequent readers are the acquisition of in-depth knowledge and efficient reading. More importantly, annotated information from different readers has very high potential for the discovery of value-added knowledge utilizing data mining techniques. Thus, this project intends to develop a cooperative reading annotation system, which can annotate any web page with HTML format, for archiving, accumulating and sharing the knowledge of readers who participate in reading learning processes based on Web 2.0 and cloud computing technologies. The annotated content helps new readers understand articles and helps readers who have read an article obtain a deeper and broader understanding than when reading digital content without annotations. Additionally, this project will also develop the intelligent mechanisms including mining the common consensus of reading annotation, reading annotation recommendation, and reading anxiety forecasting for determining the useful reading assisted strategies based on data mining technologies. Finally, this project will also run a reading community based on the developed cooperative reading annotation platform with the support of intelligent reading assisted mechanisms. Meanwhile, the performance of the proposed cooperative reading annotation system in terms of promoting reading skills, reading comprehension, and reducing reading anxiety will be assessed in this project.
Relation:	應用研究學術補助研究期間:10008~ 10107 研究經費:1811仟元 NSC100-2628-S004-001-MY3
Data Type:	report
Appears in Collections:	[Graduate Institute of Library, Information and Archival Studies] NSC Projects

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