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研究生:林鼎鈞
研究生(外文):Ding-Jun Lin
論文名稱:電子學習履歷系統使用行為之研究-以屏東商業技術學院為例
論文名稱(外文):The Use of E-Portfolio System-Case Study of National Pingtung Institute of Commerce
指導教授:陳煜璋陳煜璋引用關係
指導教授(外文):Yi-Chang Chen
學位類別:碩士
校院名稱:國立屏東商業技術學院
系所名稱:資訊管理系(所)
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:中文
論文頁數:74
中文關鍵詞:問卷調查使用行為電子學習履歷系統Log分析潛在相關分析
外文關鍵詞:User BehaviorE-Learning Portfolio SystemQuestionnaire SurveyLog AnalysisPotential Relationship
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電子學習履歷系統近幾年漸漸受到重視,其系統目的是協助學生蒐集、組織和省思過去學習成果及參與活動經驗。系統會在學生使用時紀錄使用訊息,訊息內容經分析可得知學生使用習性與偏好,學校各單位可藉此資訊作為教學策略或舉辦活動時的參考依據,以便校方在與學生互動時,更能貼近學生需求,輔助學生得以發揮所長。
  本研究對於上述可行方向開始探討,針對兩種方向分別研究,一是學生使用學習履歷系統後的內在感受,使用問卷調查法。二為學生使用系統的使用行為,分析使用者在系統所留下的Log紀錄檔案。另外則從深入探索系統使用行為與學習成效之間的潛在相關,以K-means集群分析演算法對學生使用系統行為紀錄進行集群分析,並以統計方法T-Test檢定之。這些分析結果顯示,兩種方向可以呈現許多現象,例如:學習履歷對學生學習過程有較明顯的影響、網頁點閱數會受到頁面按鈕編排順序影響、學習成效和系統登入次數之間有正相關。綜合上述,此研究之成果初步可提供校方各單位(導師、教師、行政單位、系統開發單位),進一步改進電子學習履歷系統之實際成效,幫助學生在學時準備現在並同時放眼未來。
The e-learning portfolio(EP) system has been paid more attention in recent years. The purpose of the EP system help students to collect, organize, and reflect their own past learning achievements and active experience. Furthermore, the system which would be designed by the school directors has possibility to record the logs that students visited the system. Also, teachers, directors, school managers could analyze the data contents made by student’s self to help them to understand students learning habits and preferences more. After that, the relative school units would be able to take this analysis results to make decisions for teaching strategies and reference to hold activities.  
  In this study, three aspects are been investigated according to the prior statements. First, the feeling of students after using the system and some relative questionnaire surveys of students are separately studied. As for the second part, the important analysis to the logs of the system is tried to conclude the use behavior of student. Finally, this research is tried to explore the potential possible relationship between the use behavior and the grades of students. Furthermore, more discussion would be given respectively after the three parts in the research. And the preliminary results concluded by the three aspects would provide some suggestions for various units of the school, such as the directors, teachers, school managers, and system developer. As for the students, the result finally mentioned that some other suggestions are also indeed effectively to students improve their learning attitudes and helpful students to pre-plan their career.
摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 v
表目錄 vi
第一章 前言 - 1 -
第一節、 研究背景 - 1 -
第二節、 研究動機 - 2 -
第三節、 研究目的與問題 - 3 -
第四節、 論文架構 - 4 -
第二章 文獻探討 - 6 -
第一節、 學習履歷的起源、意涵 - 6 -
第二節、 學習履歷E化之過程 - 7 -
第三節、 資訊系統使用狀況之調查方法 - 8 -
第三章 研究方法 - 15 -
第一節、 研究設計 - 15 -
第二節、 研究環境 - 24 -
第三節、 研究資料蒐集 - 30 -
第四節、 資料分析方法 - 31 -
第四章 資料分析結果與建議 - 33 -
第一節、 電子學習履歷系統使用成效分析(研究一) - 33 -
第二節、 電子學習履歷系統使用紀錄統計分析(研究二) - 40 -
第三節、 結論與建議 - 57 -
第五章 總結與未來發展 - 60 -
第一節、 總結 - 60 -
第二節、 未來發展 - 61 -
(1)期刊
1.吳佳玲(2008)。大學生禮儀課程之學習動機與學習滿意度調查研究。遠東學報,25(4),499-517。
2.吳忠敏、游政憲、陳俊廷(2002)。網路瀏覽行為線上分析機制之研究。 台北科技大學學報,35(2),205-218。
3.林頌堅(2008)。以網站流量資料探討使用者的網路使用行為。圖書資訊學研究,2(2),39-60。
4.陳年興、謝盛文、陳芸霈(2003)。從學習歷程記錄檔動態建構決策樹以支援適性化教學。中華民國資訊學會通訊,6(3),11-24。
5.游光昭、洪國勳(2003)。網路化學習歷程檔案與科技的學習。生活科技教育月刊,36(5),55-64。
6.黃富廷(2003)。線性結構關係(LISREL)之統計學原理。臺東特教,18,45-51。
7.鄒慧英(2000)。國小寫作檔案評量應用之探討。初等教育學報,13,141-181。
8.Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring user-perceived web quality. Information & Management, 39(6), 467-476.
9.Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science, 16, 76-94.
10.Barrett, H. (2000). Create your own electronic portfolio. Learning & Leading with TechnoLogy, 27(7), 14–21.
11.Bertot, J. C., McClure, C. R., Moen, W. E., & Rubin, J. (1997). Web usage statistics: Measurement issues and analytical techniques. Government Information Quarterly, 14(4), 373-395.
12.Buchner, A. G., & Mulvenna, M. D. (1998). Discovering internet marketing intelligence through online analytical web usage mining. SIGMOD Record, 27(4), 54-61.
13.Burton, M. C., & Walther, J. B. (2001). The Value of Web Log Data in Use-Based Design and Testing. Journal of Computer Mediated Communication, 6(3).
14.Chang, C. (2001). A study on the evaluation and effectiveness analysis of web-based learning portfolio. British Journal of Educational Technology, 32 (4), 435-458.
15.Chen, G., Lin, C. C., Ou, K. L., & Lin, M. S. (2001). Web learning portfolios: a tool for supporting performance awareness. Innovations in Education and Training International, 38(1), 19–30.
16.Cooley, R., Mobasher, B., & Srivastava, J. (1999). Data preparation for mining world wide web browsing patterns. Knowledge and Information System, 1(1), 5-32.
17.Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
18.Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technoLogy: a comparison of two Theoretical Models. Management Science, 35(8), 982-1003.
19.Gypsy, M. D. (2001). Making a commitment to professional growth: realizing the potential of professional portfolios. NASPA Journal, 38(4), 495-509.
20.Irvine, S. E., & Barlow, J. (1998). The digital portfolio in education: an innovative learning and assessment tool. Journal of Information TechnoLogy for Teaching Education, 7(3), 321-330.
21.Kim W. (2009). Cloud computing: today and tomorrow. Journal of object technology, 8(1), 65-72.
22.Liu, C. C., Chen, G. D., & Wang, C. Y. (2002). Student modeling for performance assessment using Bayesian network on web portfolios. Journal of Educational Computing Research, 27(4), 437-469.
23.Liu, C. C., Chen, G. D., Wang, C. Y., & Lu, C. F. (2002). Student performance assessment using Bayesian network and web portfolios. Journal of Educational Computing Research, 27, 435-467.
24.Lopez-Fernandez, O., & Rodriguez-Illera, J. L. (2009). Investigating university students' adaption to a digital learner course portfolio. Computers and Education, 52, 608-616.
25.Love, T., & Cooper, T. (2004). Designing online information systems for portfolio-based assessment: design criteria and heuristics. Journal of Information Technology Education, 3, 65-81.
26.Maslow, A. H. (1943). A theory of humanmotivation. PsychoLogical Review, 50, 370–396.
27.Maxwell, N. (2001). Search log analysis: a great tool for frank customer research. Marketing News, 35(24), 15-16.
28.Palmer, S., Holt, D., Hall, W., & Ferguson, C. (2009). An evaluation of an online student portfolio for the development of engineering graduate attributes. Computer Applications in Engineering Education, Early View
29.Parker, C., & Mathews, B. P. (2001). Customer satisfaction: contrasting academic and consumers’ interpretations. Marketing intelligence and Planning, 19(1), 38-44.
30.Poock, M. C., & Lefond, D. (2001). How college-bound prospects perceive university web site: findings, implications, and turning browsers into applicants. College and University, 77(1), 15-21.
31.Poock, M. C., & Lefond, D. (2003). Characteristics of effective graduate school web sites: implications for the recruitment of graduate students. College and University, 78(3), 15-19.
32.Romero, C., & Ventura, S. (2007). Educational data mining: a Survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135-146.
33.Seddon, P. (1997). A respecification and extension of the DeLone and McLean model of IS Success. Information Systems Research, 8(3), 240-251.
34.Xiao, Y., & Dunham, M. H. (2001). Efficient mining of traversal patterns,” Data and Knowledge Engineering, 39(2), 191-214.
(2)書籍
1.張春興(1994)。現代心理學。台北:東華書局。
2.Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
3.Browne, M. W., & Cudeck, R. (1993). Testing structural equation models. Newbury Park, California: Sage.

4.Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS & SIMPLIS: Basic concepts, application, and programming. New Jersey: Lawrence Erlbaum Association.
5.Chou, C. P., & Bentler, P. M. (1995). Structural equation modeling: Concepts, issues, and applications. Thousands Oaks, California: Sage.

6.Dunham, M. H. (2003). Data Mining. Introductory and Advanced Topics. New Jersey: Prentice Hall.
7.Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. New Jersey: Prentice Hall.
8.Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
(3)研究報告和計畫書
1.99年度行政院青年輔導委員會協助大專校院提升青年就業力實施計畫
2.Lankes, A. M. D. (1995) Electronic Portfolios: A New Idea in Assessment ERIC Digest. ERIC Clearinghouse on Information and Technology Syracuse New York, ED 390377.
3.O'Reilly, T. (2005). What is Web 2.0. O'Reilly (http://oreilly.com/).
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