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Title:	數位學習領域文獻計量與主題分析 Bibliometric and subject analysis for the E-learning research field
Authors:	李清福 Lee, Ching Fu
Contributors:	陳志銘曾元顯 Chen, Chih Ming Tseng, Yuen Hsien 李清福 Lee, Ching Fu
Keywords:	數位學習主題分析分群技術共現字書目對 e-learning Subject Analysis Clustering technology co-word bibliographic coupling
Date:	2011
Issue Date:	2013-09-04 16:43:28 (UTC+8)
Abstract:	近年來各國因應數位化的發展，加上資訊技術應用於教與學已經是全球的趨勢，各國紛紛將數位學習的推動列為國家重要政策，對數位學習領域主題研究之發展極為重視。為了幫助研究人員更精確掌握數位學習領域的研究脈動，有必要針對數位學習領域發表之期刊文獻進行全面性的計量以及主題內容分析。本研究採廣義數位學習定義之檢索策略，蒐集2000年至2009年間合計2,125篇數位學習領域SSCI期刊文獻，針對這些文獻以自動化內容探勘工具CATAR進行全面性計量分析，再分別以共現字及書目對進行研究主題分析，以藉此歸納數位學習領域的研究主題架構。此外，本研究亦將經由共現字與書目對歸類所獲得之主題架構，與Computers & Education (C&E)專家分類之主題架構進行相互的參照與比對，以歸納出更為完備的數位學習領域研究主題架構。本研究歸納獲得之數位學習領域研究主題架構，可幫助研究人員檢視自己的領域專長、掌握數位學習各研究主題面向發展狀況以及作為學者專家選定研究主題之參考；此外，透過文獻計量分析所得之國際間數位學習領域最具生產力作者、最具競爭力機構、最具影響力國家、高被引用期刊文獻、較具代表性研究主題發展趨勢以及數位學習跨領域整體學術研究發展概況等，有助於研究人員瞭解目前整個國際間數位學習領域的研究發展現況。 With the digital development and the global trend of information technology applying teaching and learning in recent years, every country around the world regards the promotion of e-learning as a very important policy of the country. They lay special emphasis on the development of the subjects of study in e-learning. In order to help the researchers to predominate more precisely about the study of e-learning field, it is necessary for us to carry out the comprehensive calculation and subject context analysis toward the published periodical literature in connection with the e-learning field. The present study adopts the search strategy of generalized definition of e-learning and collects 2,125 SSCI periodical literature in total on e-learning field from the years of 2000 till 2009. They are analyzed with automatic context exploration tool CATAR to proceed to the general bibliometric analysis. Then they are analyzed with co-occurrence words and bibliography coupling to proceed to the study subject analysis. Thus it can generalize the frames of study subjects of e-learning field. In addition, the present study will carry on the interactive reference and contrast through the subject frames by the co-occurrence words and bibliography coupling with the subject frames classified by Computers & Education (C & E) experts to figure out more complete frames of study subject in e-learning field. The present study can help researchers examine their own field specialty, master the dimensions of the development of study subjects and make reference to the scholars and experts to determine their study subjects. Furthermore, it can help the researchers understand the development status of international e-learning field at present with the most productive author, the most competitive organization, the most influential country, the most adoptive periodical document, the more representative trend of development of study subject and the study development status of e-learning interdisciplinary field overall academic research through literature bibliometric analysis.
Reference:	一、英文文獻 "Science Citation Index：A General Introduction"in Science Citation Index 1995. Guide and Lists of Source Publication, Philadelphia. PA ： Institute for Scientific Information, p.6 Albrechtsen, H. (1993). Subject analysis and indexing: from automated indexing to domain analysis.Indexer, 18, 219-224. Alden, J. (1998). A trainer`s guide to Web-based instruction: getting started on Intranet-and Internet-based training. Amer Society for Training & Development. ASTD. ASTD. (2010). E-Learning Glossary Retrieved 0116, 2010, Retrieved from http://www.astd.org/LC/glossary.htm Baker, R. & Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1), 3-17 Boinee, P., De Angelis, A. & Milotti, E.(2003). Automatic Classification using Self-Organising Neural Networks in Astrophysical Experiments. Arxiv preprint cs/0307031. Brussels(2002).eEurope 2005:An information society for all.COMMISSION OF THE EUROPEAN COMMUNITIES. Cavusgil, S., Kiyak, T. & Kiyak, I. (2002). Expanding Horizons with e-Learning. Internationalising the Business Curriculum: A Field Guide, 2nd edition, Euclid: Lakeshore Communications. Cheong, M.-Y., Lee, H. (2008). Determining the number of clusters in cluster analysis. Journal of the Korean Statistical Society, 37(2), 135-143 Chiang, J., Kuo, C.-W., & Yang, Y.-H. (2010). A Bibliometric Study of E-Learning Literature on SSCI Database. In X. Zhang, S. Zhong, Z. Pan、K. Wong, R. Yun.Entertainment for Education. Digital Techniques and Systems (Vol. 6249, pp. 145-155)：Springer Berlin / Heidelberg. Chu, C. M. & O`Brien, A. (1993). Subject analysis: the critical first stage in indexing. Journal of Information Science, 19(6), 439-454. Clark, R. & Mayer, R. (2003). E-learning and the science of instruction ：Jossey-Bass/Pfeiffer San Francisco. Cloete, E. (2001). Electronic education system model. Computers & Education, 36(2), 171-182. Fournier, H., Dragne, C. & Romila, D. (2006). A REVIEW OF THE STATE OF THE FIELD OF ADULT LEARNING E-LEARNING: National Research Council Canada, Institute for Information Technology. Garai, G. & Chaudhuri, B. (2004). A novel genetic algorithm for automatic clustering. Pattern Recognition Letters, 25(2), 173-187. Han, J. & Kamber, M. (2006). Data mining: concepts and techniques ：Morgan Kaufmann. Hermann Maurer & Khan, M. S. (2010). Research trends in the field of e-learning from 2003 to 2008: A scientometric and content analysis for selected journals and conferences using visualization. .Interactive Technology and Smart Education, 7 (1), pp.5 . Herrington, J., Reeves, T. & Oliver, R. (2005).Online learning as information delivery: Digital myopia. Journal of Interactive Learning Research, 16(4), 353. Hung, J.-l. (2010). Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics. British Journal of Educational Technology. Jain, A., Murty, M. & Flynn, P. (1999). Data clustering: a review. ACM computing surveys (CSUR), 31(3), 264-323. Jajuga, K., Soko owski, & A.Bock, H. (2002). Classification, clustering and data analysis: recent advances and applications ：Springer Verlag. Kantardzie, M. & Srivastava, A. (2005). Data mining: concepts, models, methods, and algorithms. Journal of Computing and Information Science in Engineering, 5(4), 394-395. Karrer, T. (2006). eLearning 1.0 vs. 2.0 - Help Needed : eLearning Technology, from http://elearningtech.blogspot.com/2006/02/what-is-elearning-20.html Keengwe, J. & Kidd, T. (2010 ). Towards Best Practices in Online Learning and Teaching in Higher Education. MERLOT Journal of Online Learning and Teaching, Vol. 6(2) , 533-541. Khan, M., M. Ebner, et al. (2009). Trends Discovery in the Field of E-Learning with Visualization. World Conference on Educational Multimedia, Hypermedia and Telecommunications. Kramer, B. (2000). Forming Federated Virtual University Through Course Broker Middleware. Manning, C. D., Raghavan, P. & Schütze, H. (2009). An Introduction to Information Retrieval. McKavanagh, C., Kanes, C., Beven, F., Cunningham, A., & Choy, S. (2002). Evaluation of Web-Based Flexible Learning: National Centre for Vocational Education Research. Moed, H. F. (2005). Citation analysis in research evaluation. ：Netherlands: Springer. Mortera-Gutierrez, F. (2006). Faculty best practices using blended learning in e-learning and face-to-face instruction. INTERNATIONAL JOURNAL ON E LEARNING, 5(3), 313-337. Naidu, S. (2006). E-Learning： A Guidebook of Principles, Procedures and Practices Retrieved from http://www.cemca.org/e-learning_guidebook.pdf Nicholson, P. (2007). A history of e-learning: echoes of the pioneers. In B. Fernández-Manjón, J. M. Sánchez-Pérez, J. A. Gómez-Pulido, M. A. Vega-Rodríguez, J. Bravo-Rodríguez.Computers and Education (pp. 1-11)：Springer Netherlands. Nicholson, P. & McDougall, A. (2005). Elearning: 40 Years of Evolution? Paper presented at the WCCE 2005 : 8th IFIP World Conference on Computers in Education: 40 years of computers in education: what works? Persson, O. (1994). The intellectual base and research fronts of JASIS 1986-1990. Journal of the American Society for Information Science, 45(1), 31-38. Pilla, B., Nakayama, M. & Nicholson, P. (2006). Characterizing E-learning Practices in Companies. Education for the 21st Century XImpact of ICT and Digital Resources, 145-154. Rasmussen, M. & Karypis, G. (2008). gcluto: An interactive clustering, visualization, and analysis system. CSE/UMN Technical Report: TR# 04, 21. Rosenberg, M. (2001). E-learning: Strategies for delivering knowledge in the digital age. New York: McGraw-Hill. Salton, G. (1975). A theory of indexing, volume 18 of Regional conference series in applied mathematics. Society for Industrial and Applied Mathematics. Salton, G. (1989). Automatic text processing: the transformation. Analysis and Retrieval of Information by Computer. Shih, M., Feng, J. & Tsai, C.-C. (2008). Research and trends in the field of e-learning from 2001 to 2005: A content analysis of cognitive studies in selected journals. Computers & Education, 51(2), 955-967. Thomson. (1956). ISI Web of Science. Retrieved from http://thomsonreuters.com/products_services/science/science_products/a-z/web_of_science/ Tsai, C. C., Chen, N. S. & Chen, G. D. (2010). The current status and future of e-learning in Taiwan INTRODUCTION. Innovations in Education and Teaching International, 47(1), 5-7. Tseng, Y.-H. (2002). Automatic thesaurus generation for Chinese documents. Journal of the American Society for Information Science and Technology, 53(13), 1130-1138. Tseng, Y.-H. (2011). Content Analysis Toolkit for Academic Research (CATAR), from http://web.ntnu.edu.tw/~samtseng/CATAR/Readme.html Tseng, Y.-H. (2010). Generic title labeling for clustered documents. Expert Systems with Applications, 37(3), 2247-2254. Tseng, Y.-H., Lin, C.-J. & Lin, Y.-I. (2007). Text mining techniques for patent analysis. Information Processing & Management, 43(5), 1216-1247. Tsou, S. (2006). Research and Trends in E-learning from 2000 to 2004-A Content Analysis of Master`s Theses in Taiwan. Paper presented at the Proceedings of the 5th WSEAS International Conference on E-ACTIVITIES. Weggen, C. (2000).Corporate E-learning: Exploring A New Frontier. WR Hambrecht+ Co Equity Research White, H. D. & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49(4), 327-355. Yucel, A. (2006). E-learning approach in teacher training. Turkish Online Journal of Distance Education-TOJDE, 7(4), 125-126. 二、中文文獻王梅玲(1996)。以內容分析法探討美國圖書館與資訊科學教育研究之趨勢。Paper presented at the 圖書館與資訊研究論集：慶祝胡述兆教授七秩榮慶論文集，臺北市。吳京玲(2009)。台灣高等教育教學研究的現況與趨勢：博碩士學位論文分析。課程與教學，第5卷(第2期)，32。吳美美(1999)。《圖書館學與資訊科學》二十五年來的主題分布。圖書館學與資訊科學，第25卷(第2期)，頁次：9-24。吳美美(2004)。數位學習現況與未來發展。圖書館與資訊科學，30(2)。吳萬鈞(1998)。科學知識組織系統。資訊傳播與圖書館學， 5(1)，19-42。吳聲毅(2008)。數位學習觀念與實作。台北市：學貫行銷。李翎竹、韓季廷(2008)。三菱總合研究所專利分析在企業策略應用之介紹。科技發展政策報導，71(第6期)，69-74頁。林聖峰(2004)。數位學習知識本體之研究。博士論文，國立台灣師範大學。林頌堅(2005)。探勘科學創新與創造力的領域分析工具之研究。 2005年第三屆創新與創造力研討會論文，國立政治大學「創新與創造力研究中心」。邱文心(2009)。Next Generation Learning下個世代的學習。檢索日期：20120229，摘自http://newsletter.teldap.tw/news/InsightReportContent.php?nid=2952&lid=277 徐敏珠、楊建民(2006)。我國高等教育之數位學習發展策略分析。教育學刊，26頁(191-214)。徐韻婷(2007)。台灣與中國大陸圖書資訊學核心期刊之主題分析研究－以1997-2006年為例。碩士論文，國立政治大學，台北市。翁慈宗(2009)。資料探勘的發展與挑戰。科學發展，442期。高瑜璟(2006)。數位學習－學習的新趨勢。《網路社會學通訊期刊》，第57期。財團法人資訊工業策進會(2005)。2004數位學習白皮書。經濟部工業局。國研院政策中心(2009)。中華民國科學技術年鑑。檢自http://yearbook.stpi.org.tw/index.html 國家科學委員會(2008)。2008數位學習白皮書。檢自 http://數位典藏與數位學習國家型科技計畫.tw/Download/download_rp.php 張宇(2009)。向量相似度測度方法。聲學技術，28(4)。梁雲霞(2005)。高等教育中數位學習的創新與挑戰：實踐中的反思。 Paper presented at the 兩岸青年學者論壇- 二十一世紀知識經濟之領航機制：國際化、多元社會與高等教育的挑戰學術研討會。陳弘哲(2005)。自動化建構e-Learning領域之概念圖。碩士論文，國立中山大學，高雄市。陳光華、陳雅琦(2001)。台灣人文學引用文獻資料庫之建置。圖書館學與資訊科學，27(1)， 51-77。陳年興、楊錦潭(2006)。數位學習理論與實務。台北市：博碩文化。陳志銘(2009)。創新數位學習模式與教學應用：文華圖書館管理資訊。曾元顯、林瑜一(2011)。內容探勘技術在教育評鑑研究發展趨勢分析之應用。教育科學研究期刊，56(1)。曾元顯、林瑜一(2006)。文字探勘技術在教育評鑑研究發展趨勢分析之應用。教育評鑑國際學術研討會，台北。曾元顯、洪文琪、李宜映 (2009)。科技前瞻趨勢預測方法的成效驗證. 。圖書與資訊學刊， 68， 12-19。曾憲雄、蔡秀滿、蘇東興、曾秋蓉、王慶堯(2005)。資料探勘 (Data Mining)。台北市：旗標。黃騰、蔡今中、陳國棟(2008)。台灣數位學習之現況與展望。2007 NCS全國計算機會議。楊正宏、林燕珍、張俊陽、曾憲雄(2008)。台灣高等教育數位學習現況與展望。數位學習科技期刊，創刊號，1-12。經建會(2008)。挑戰2008：國家發展重點計畫(2002-2007)。檢自 http://www.cepd.gov.tw/m1.aspx?sNo=0001570&ex=1&ic=0000015. 廖婉如(2009)。我國1998至2007年數位學習期刊論文及其引用文獻分析之研究。碩士論文，台灣大學，台北市。劉君毅(2007)。台灣地區數位學習的現況與發展。研習資訊雙月刊，24(4)。劉萍(1999)。主題分析中的關鍵環節-主題概念的提取。四川圖書館學報， 1。數位學習國家型計畫辦公室(2008)。數位學習國家型科技計畫結案評估報告: 行政院國家科學委員會。數位典藏與數位學習國家型科技計畫(2010)。數位典藏與數位學習國家型科技計畫。檢索日期：20101231，摘自 http://wiki.teldap.tw/index.php 蔡今中(2008)。2008數位學習白皮書。檢自 http://teldap.tw/Files/98W_tw.pdf 蔡今中(2008b)。社會科學研究與論文寫作。台北：高等教育。蔡明月(2003)。資訊計量學與文獻特性。台北市：編譯館。蔡明月(2004)。論資訊計量學。圖書館學與資訊科學，30(2)，83-91。蔡明月(2005)。引文索引與引文分析之探討。圖書館學與資訊科學，31(1)，45-53。鄭谷苑、郭俊賢(2004)。學習原理：心智、經驗與學校。台北：遠流出版公司。蕭勝文(2008)。e-learning2.0面面觀。檢自 0104, 2011, 檢自 http://www.dils.tku.edu.tw/joomla_outsidelink/epaper/114/970530.pdf 賴淑靜(2004)。資訊科學引用文獻與被引用文獻之文獻分布與主題變化現象。碩士論文，淡江大學，台北縣。羅思嘉、陳光華、林純如(2001)。圖書資訊學學術文獻主題分類體系之研究。圖書資訊學刊，16，p123-140。顧大維(2005)。從數位教學平台使用的迷思：看教學設計在數位學習應扮演的角色。教育研究月刊，131，118-126。
Description:	碩士國立政治大學圖書資訊學數位碩士在職專班 98913014 100
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0098913014
Data Type:	thesis
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