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| Title: | 新北市國民中學行政人員資訊使用環境對資料導向決策影響之研究
Research on the influence of information use environment on administrators` data-driven decision-making in junior high schools in New Taipei City |
| Authors: | 林文婷
Lin, Wen Ting |
| Contributors: | 張奕華
Chang, I Hua
林文婷
Lin, Wen Ting |
| Keywords: | 資訊使用環境
資料導向決策
information use environment
data-driven decision-making |
| Date: | 2010 |
| Issue Date: | 2011-10-05 14:57:05 (UTC+8) |
| Abstract: | 本研究旨在探討新北市國民中學資訊使用環境與資料導向決策的現況，剖析不同背景變項與學校變項知覺資訊使用環境與資料導向決策的差異情形，探討資訊使用環境對資料導向決策的關係，並根據研究結論，提出建議供有關單位參考。為達上述研究目的，本研究採用問卷調查法，以新北市95所國民中學之主任、組長為研究對象，共寄發問卷568份，回收有效問卷468份，有效回收率為82.39％。本研究採用SPSS 17.0 for Windows和LISREL 8.80統計套裝軟體進行分析，獲得以下結論：
一、新北市國民中學行政人員知覺資訊使用環境、資料導向決策為中高
程度。
二、學校規模、學校歷史、學校屬性對行政人員在知覺資訊使用環境
與資料導向決策，沒有顯著差異。
三、男性行政人員知覺資訊使用環境高於女性行政人員，男性行政人員
知覺資料導向決策高於女性行政人員。
四、年齡對行政人員知覺資訊使用環境有顯著差異；對知覺資料導向決
策，則無顯著差異。
五、具有研究所教育程度之行政人員知覺資訊使用環境和資料導向決策
高於大學教育程度之行政人員。
六、服務年資越短之行政人員在知覺資訊使用環境高於服務年資越長之行
政人員；服務年資對知覺資料導向決策沒有差異。
七、任職不同處室行政人員知覺資訊使用環境整體及各層面均無顯著差
異，任職總務處行政人員知覺資料導向決策高於教務處、學務處、輔
導處。
八、資訊使用環境對資料導向決策具有正向且顯著的影響。
最後依據上述研究結論，提出具體建議，以作為教育行政機關、國中學校行政及未來研究參考運用。
關鍵詞：資訊使用環境、資料導向決策
The purpos of this study are to explore the current situation of junior high schools’ information use environment and data-driven decision-making, analyze the different background variables and school variables on the different perception of information use environment and data-driven decision-making, discuss the relationship between information use environment and data-driven decision-making, and propose recommendations to relevant institutions based on the research conclusions. To achieve these purposes, this study used the questionnaire survey method, and the directors and administrative heads from 95 junior high schools in New Taipei City were chosen as the subjects for this study. A total of 568 questionnaires were distributed, and resulted in 468 valid return questionnaires. The effective rate was 82.39%. Then, for this study, SPSS 17.0 for Windows and LISREL 8.80 statistical software were used for analysis and the following conclusions were obtained:
1.The level of school administrators’ perception of information use environment and data-driven decision-making is ranked mid to high level.
2.The school size, school history and school classification have no significant affect on the administrators’ perception of information use environment and data-driven decision-making.
3.Male administrators have a higher level of perception of information use environment than female administrators. Male administrators also have a higher level of perception of data-driven decision-making than female administrators.
4.The age of the administrators significantly affects the level of their perception of information use environment, but does not significantly affect the level of their perception of data-driven decision-making.
5.Administrators with graduate school education levels have a higher level of perception on information use environment and data-driven decision-making than administrators with only college degree education levels.
6.Administrators with shorter terms of service have higher levels of perception on information use environment than administrators with longer terms of service. However, the terms of service had no significant effect on the administrators’ level of perception of data-driven decision-making.
7.There is no significant difference in different administration offices in the level of perception of information use environment, but the level of perception of data-driven decision-making in the administrators of the office of general affairs is higher than those of the office of academic affairs, student affairs and counselors’ office.
8.Information use environment has a significant and positive impact on data-driven decision-making.
Finally, based on the above research conclusions, specific recommendations
are proposed and submitted as references and applications for educational administration institutions, junior high school administration offices and future research.
Keywords: information use environment, data-driven decision-making |
| Reference: | 參考文獻
壹、中文部分
王秀卿（2001）。網路使用與資訊尋求行為之文獻探討。大學圖書館，5（1），148。
王保進（2002）。視窗版SPSS與行為科學研究。臺北市：心理。
吳曲輝譯（1996）。社會學理論的結構。臺北市：桂冠。
吳和堂（2010）。教育論文寫作與實用技巧。臺北市：高等教育。
吳怡靜譯（2010，10月6日）。美國教改正在等待超人。天下雙週刊雜誌，457，282。
吳明隆（2009）。論文寫作與量化研究。臺北市：五南。
吳清山、林天祐（2006）。資料驅動決定。教育研究月刊，143，140。
李弘輝（2003）。知識經濟下的領導新思維。臺北市：聯經。
李郁雅（2000）。博士論文研究歷程中情境與資訊行為之探索：以植物分類學為例（未出版的碩士論文)。臺灣大學圖書資訊學研究所，臺北市。
李康、李猛譯（2002）。安東尼吉登斯著。社會的構成。臺北市：左岸文化。
林其賢（2009）。學校層級資料導向決策系統資料內容之研究：臺北市國民小學校長之意見調查（未出版的碩士論文)。淡江大學教育科技學系碩士在職專班，臺北市。
林其賢、高熏芳（2009）。資料導向決策系統之設計：校長決策領導的新思維。學校行政雙月刊，62，80-97。
林孟慧（2006）。網際網路型態旅遊資訊搜尋行為之初探（未出版的碩士論文)。朝陽科技大學休閒事業管理系，臺中縣。
林東清（2010）。資訊管理。臺北市：智勝文化。
林郡雯（2006）。A. Giddens 進出結構與行動之間的社會學家。收錄於譚光鼎、王麗雲（主編），教育社會學：人物與思想（頁395-424）。臺北市：高等教育。
邱皓政（2008）。結構方程模式的檢定力分析與樣本數決定。量化研究學刊，2（1），139-173。
孫志麟（2000）。學校自主管理的理念與實踐。載於國立臺北師範學院主編，教育改革的理論與實踐（頁319-342）。臺北市：國立臺北師範學院。
秦夢群（2006）。教育行政－理論部分。臺北市：五南。
張芳全（2010）。論文就是要這樣寫（二版）。臺北市：心理。
張芳全（2008）。統計就是要這樣跑。臺北市：心理。
張奕華（2010a）。校長科技領導－模式、指標與應用。臺北市：洪葉文化。
張奕華（2010b）。國民中小學校長資料導向決策（DDDM）及影響因素之分析：以資訊使用環境為前置變項。行政院國家科學委員會專題研究計畫（NSC 99-2410-H-004-025-MY2）。臺北市：國立政治大學教育學系。
張奕華、張敏章（2009）。數位時代中提升學校效能新途徑：科技領導與資料導向決策模式。教育研究月刊，188，112-122。
張奕華、顏弘欽（2010）。教師專業能力發展新取向：DDDM模式的實踐。北縣教育，71，11-16。
張善楠（1999）。教育研究與教學政策：臺灣地區教育研究與教育決策不連結性之分析。教育行政論壇，4，228-239。
陳正昌、程炳林、陳新豐、劉子鍵（2009）。多變量分析方法—統計軟體應用（五版）。臺北市：五南。
陳信宏（2007）。影響在知識管理平臺上進行知識分享之探討（未出版的碩士論文)。國立中山大學資訊管理研究所，高雄市。
陳啟亮（2010）。Information Use Environment（資訊使用環境）。Retrieved From http://www.xxc.idv.tw/dokuwiki/study/taylor_r._s._1982_._value-added_processes_in_the_information_life_cycle
陳紹賓（2009）。資料導向決定在國民小學校長願景領導應用之研究－以臺北縣為例（未出版的碩士論文)。國立臺北教育大學教育政策與管理研究所，臺北市。
黃芳銘（2009）。結構方程模式理論與應用（第五版）。臺北市：五南。
楊婷雅（2006）。文化紀錄片工作者之資訊行為研究。圖書館學與資訊科學 32（2），65–78。
劉文章（2010）。臺北縣國民小學分散式領導對教師學術樂觀影響之研究（未出版的碩士論文)。國立政治大學教育學院學校行政碩士在職專班，臺北市。
劉名峯（2006）。國民小學校長應用資料導向決定之研究（未出版的碩士論文)。國立臺北教育大學國民教育學系，臺北市。
劉揚銘（2005，10月）。憑直覺？靠理性？經理人週刊，2005。
鄭君仲（2005，10月）。決策四力模型。經理人週刊，2005。
賴光祺（2007）。高度現代性之下的主體構成— Giddens (Anthony Giddens)思想在教育上的推演（未出版的博士論文)。國立政治大學教育研究所，臺北市。
謝典龍（2004）。企業資訊入口網站與資訊同步化之關係建構與推導（未出版的碩士論文)。私立銘傳大學資訊管理研究所，臺北市。
謝清佳（1997）。資訊管理---理論與實務。臺北市：智勝文化。
貳、外文部分
3D2Know (2008). Making it happen: Integrating data into the decision making equation. Retrieved from http://3d2know.cosn.org/publications/page_4.html
Arthur Andersen Business Consulting (1999). Zukai knowledge management. Tokyo: Toyo Kenizi.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science, 16, 76-94.
Bernhardt, V. L. (2003). Using data to improve student learning in elementary school. Larchmont, NY: Eye on Education.
Bernhardt, V. L. (2007). Translating data into information to improve teaching and learning. Larchmont, NY: Eye on Education.
Bouazza, A. (1986).Use of information sources by physical scientists, social scientists and humanities scholars at Carnegie-Mellon University. Unpublished doctoral dissertation, University of Pittsburgh, Pittsburgh.
Breiter, A., & Light, D. (2006). Data for school improvement: Factors for designing effective information systems to support decision-making in schools. Educational Technology & Society, 9(3), 206-217.
Buckland, M. (1991). Information and information systems. New York: Greenwood.
Dervin, B., & Nilan, M. (1986). Information needs and uses. Annual Review of Information Science and Technology, 21, 3-33.
Earl, L., & Katz, S. (2006). Leading in a data-rich world: Harnessing data for school improvement. Thousand Oaks, CA: Corwin.
Educational Leadership Constituent Council. (2002). Standards for advanced programs in educational leadership for principals, superintendents, curriculum directors, and supervisors. Washington, DC: National Policy Board for Educational Administration.
Eisenberg, M.,& Lee, D. (2008). Taylor’s value-added model: Still relevant after all these years. Retrived from https://www.ideals.illinois.edu/bitstream/handle/2142/15081/PA3-4_iconf08.pdf?sequence=2
Ellis, D., & Haugan, M. (1997). Modelling the information seeking patterns of engineers and research scientists in an industrial environment. Journal of Documentation, 53, 384-403.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed). Englewood Cliffs, NJ: Prentice-Hall.
Hoy, W. K., & Miskel, C. G. (1996). Educational administration: Theory, research, and practice. New York: McGraw-Hill.
Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the data-driven mantra: Different conceptions of data-driven decision making. (ERIC Document Reproduction Service No. ED504290)
Jörekog, K. G., & Sörbom, D. (1993). LISREL 8 user’s reference guide. Mooresville, IN: Scientific Software.
Leithwood. K., & Steinbach, R. (1995). Ecpert problem solving: Evidence from school and district leaders. Albany, NY: State University of New York Press.
Luo, M. (2008). Structural equation modeling for high school principals’ data-driven decision making: An analysis of information use environments. Educational Administration Quarterly, 44(5), 603-634.
Luo, M., & Childress, M. (2009). Data-driven decision making: The development and validation of an instrument to measure principals’ practices. Retrived from http://www.academicleandership.org/emprical_research/566.shtml
Marsh, J. A., Pane, J. F., & Hamilton, L. S. (2006). Making sense of data-driven decision making in education. Retrived from http://www.rand.org/pubs/occasional_papers/2006/RAND_OP170.pdf
Mattei, G. J. (2005). Data-deriven decision making within the contemporary architecture of accountability. Unpubished doctoral dissertation, Immaculata University, Pennsylvania.
McClure, C. R. (1978). The information rich employee and information for decision making: Review and comments. Information Processing and Management, 14, 381-394.
McLeod, S. (2009). Data driven teachers. Tech & Learning, 30(1), 18.
Mick, C. K., Lindsey, G. N., & Callhan, D. (1980). Toward usable user studies. Journal of the American Society for Information Science, 31(5), 347-356.
O’Reilly, C. A. (1983). The use of information in organizational decision making: A model and some propositions. Research in Organizational Behavior, 5, 103-139.
Paisley, W. (1980). Information and work. In B. Dervin, & M. J. Voigt (Eds), Progress in communication sciences (pp. 113-165). Norwood, NJ: Ablex Publishing Coporation.
Palmer, J. (1991). Scientists and information: Using cluster analysis to identify information style. Journal of Documentation, 47, 105-226.
Pettigrew, K. E., Fidel, R., & Bruce, H. (2001). Conceptual frameworks in information behavior. Annual Review of Information Science and Technology, 35, 43-78.
Robbins, S. P. (1996). Organizational behavior. Englewood Cliffs, NJ: Prentice-Hall.
Rosenbaum, H. (1996). Structure and action: Towards a new concept of the information use environment. Retrieved from https://scholarworks.iu.edu/dspace/bitstream/handle/2022/1804/wp96-04B.html?sequence=1
Taylor, R. S. (1982). Value-added processes in the information life cycle. Journal of the American Society for Information Science, 33(5), 341-346.
Taylor, R. S. (1986). Value-added processes on information systems. Norwood, NJ: Ablex.
Taylor, R. S. (1991). Information use environments. In B. Dervin & M. J. Voigt (Eds.), Progress in communication science (pp. 217-254). Norwood, NJ: Ablex.
Technology Alliance (2005). Data-driven decision making in K-12 schools.
Retrieved from http://www.technology-alliance.com/pubspols/dddm/dddm.html
Wayman, J. C. (2005). Involving teachers in data-driven decision-making: Using computere data systems to support inquiry and reflection. Journal for Education of Students Placed at Risk, 10(3), 1-14.
Wilson, T. D. (1981). On user studies and information needs. Journal of Documentation, 37(1), 3-15.
Wilson, T. D. (1999). Models in information behaviour research. Journal of Documentation, 55, 249-270.
Wilson, T. D. (2000). Human information behavior. Informing Science, 3(2), 49-55.
Wohlstetter, P., Datnow, A., & Park, V. (2008). Creating a system for data-driven decision-making: Applying the principal-agent framework. School Effectiveness and School Improvement, 19(3), 239-259. |
| Description: | 碩士
國立政治大學
學校行政碩士在職專班
97911014
99 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0097911014 |
| Data Type: | thesis |
| Appears in Collections: | [學校行政碩士在職專班] 學位論文
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