English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140893 (78%)
Visitors : 46191553      Online Users : 1306
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/77222


    Title: 基於社群偵測發掘意見領袖之二級資訊傳播模式對於提升問題導向網路合作學習成效之影響研究
    Two-step flow of communication for promoting collaborative problem-based learning performance based on community detection scheme with exploring opinion leaders
    Authors: 游宗霖
    You, Zong Lin
    Contributors: 陳志銘
    Chen, Chih Ming
    游宗霖
    You, Zong Lin
    Keywords: 社群探勘
    社會網路分析
    問題導向學習
    合作學習
    community mining
    social network analysis,
    problem-based learning
    cooperative learning
    Date: 2015
    Issue Date: 2015-08-03 13:26:34 (UTC+8)
    Abstract: 隨著資訊科技的發展,數位學習的觀念逐漸興起,在二十一世紀強調知識經濟的今天,自主學習及問題解決能力的養成更顯重要,而藉由網路進行問題導向合作學習,學習者可更方便的透過自主學習方式培養問題解決能力。然而學習者在進行網路合作學習的互動期間會接收到大量來自同儕的資訊,有些學習者常會因為無法判斷資訊的正確性,而無法有效選擇、判斷、分析與整合所獲得的資訊,進而觀望同儕或是意見領袖的意見。因此,本研究利用學習者在問題導向網路合作學習歷程中所產生的社會網路互動資料,利用品質Q函數結合基因算法進行社群探勘,並搭配PageRank演算法找尋出每個社群中的較意見領袖,探討採用教師直接進行資訊傳播的一級資訊傳播模式與透過社群意見領袖進行資訊傳播的二級資訊傳播模式對於學習者的學習成效、社會網路互動及團體凝聚力的影響。此外,也探討採用這兩種資訊傳播模式的不同性別及不同人格特質學習者的學習成效、社會網路互動及團體凝聚力是否具有顯著差異。
    研究結果發現:(1)在問題導向網路合作學習環境下,採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組學習者,在學習成效上顯著優於教師透過網站公告之一級傳播模式的控制組學習者;(2)在問題導向網路合作學習環境下,採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組女性學習者,在學習成效上顯著優於透過教師網站公告之一級資訊傳播模式的控制組女性學習者,但兩組男性學習者之間則無顯著差異;(3)在問題導向網路合作學習環境下,採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組學習者,在促進同儕互動成效上顯著優於教師透過網站公告之一級傳播模式的控制組學習者;(4)透過品質Q函數結合基因演算法偵測社群,以及使用PageRank找尋社群意見領袖之方法,能精確的協助教師找到問題導向網路合作學習社群之意見領袖。
    最後,根據研究結果,本研究提出教學實施及未來研究方向建議,供後續研究參考以進行更深入的探究。
    The concept of e-learning gradually emerges with the development of information technology. In the 21st century when knowledge economy is emphasized, the cultivation of self-directed learning and problem-solving ability becomes more important. Learners with problem-based cooperative learning through networks can more conveniently cultivate the problem-solving ability with self-directed learning. Nonetheless, learners would receive large amount of peer information during the network cooperative learning interaction; some learners therefore could not effectively select, judge, analyze, and integrated the acquired information by judging the accuracy of information to further observe the opinions of peers or opinion leaders. For this reason, learners’ social network interaction data generated in the problem-based network cooperative learning process are proceeded community mining by combining quality function Q and genetic algorithm, and PageRank algorithm is applied to search for the opinion leader in each community in order to discuss the effects of teachers directly proceeding first-order information communication model and second-order information communication model through community opinion leaders on learners’ learning outcome, social network interaction, and group cohesiveness. Furthermore, the effects of such two information communication models on learning outcome, social network interaction, and group cohesiveness of learners with different genders and personality traits are also investigated.
    The research findings show (1) learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning environment, significantly outperform learners in the control group with first-order communication model through network announcement on the learning outcome; (2) female learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning environment, present remarkably better learning outcome than female learners in the control group with first-order information communication model through network announcement, while no significant difference appears between male learners in both groups; (3) learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning, notably show better peer interaction effectiveness than learners in the control group with first-order communication model through network announcement; and (4) combining quality function Q with genetic algorithm to detect community and applying PageRank to search for community opinion leaders could accurately assist teachers in finding out the problem-based network cooperative learning community opinion leaders.
    Finally, suggestions for teaching practice and future research, according to the research results, are proposed in this study for successive research.
    Reference: 一、中文
    王陸、馬如霞(2009)。意見領袖在虛擬學習社區社會網路中的作用。電化教育研究,1,54-58。
    何嘉惠、葉育呈 (2007)。 運用網絡分析探討實務社群之信任關係與知識分享。經營管理論叢,3卷(1期),頁17-28。
    吳武典(1979)。社會及行為科學研究法(下冊,再版),臺北市:東華。
    巫博瀚、賴英娟(2007)。人類動力的基礎—自我效能兼論自我效能對學習者自我調整學習行為與成就表現之影響。研習資訊,24卷(3期),頁49-56。
    車慶餘(1994)。兩級傳播對台灣地區選舉影響效果之研究。輔仁學誌—文學院之部,23,257-278。
    周文琪(2002)。傳播接觸管道對消費者社會化的影響。通識教育年刊,4,163-179。
    易國良(2005)。「網路合作學習」對「問題導向學習」成效的影響-以國中自然 科學為例。未出版之碩士論文,國立交通大學,新竹市。
    林麗娟(2002)。「問題導向學習」在網路資源式學習之應用。教學科技與媒體,60,42-53。
    侯政宏、崔夢萍(2013)。問題導向網路學習系統應用於國小五年級資訊素養與倫理之研究--著作權單元為例. 教育傳播與科技研究(104期),頁17-36。
    孫春在、林珊如(2007)。網路合作學習:數位時代的互動學習環境、教學與評量。台北:心理出版社。
    孫崇義(2006)。Blog意見領袖形成及傳播特質初探。未出版之碩士論文,國立臺灣科技大學,台北市。
    徐慧成(2003)。利用網頁資訊建構多階層指導教授與研究生之網絡關係。未出版之碩士論文,國立中山大學,高雄市。
    徐慧芸(2012)。社會互動排名與學習夥伴推薦機制對於激發潛水者之成效評估研究。未出版之碩士論文,國立政治大學圖書資訊學數位碩士在職專班,台北市。
    翁秀琪(2008)。大眾傳播理論與實證(修訂第二版)。台北市:三民。
    張家成(2008)。探勘合作式學習社會網路支援問題導向學習知學習伙伴推薦。未出版之碩士論文,國立臺灣師範大學工業教育學系,台北市。
    張瑋玲(2012)。Facebook訊息發送機制中使用者互動行為對互動群體數量的影響。未出版之碩士論文,國立交通大學,新竹市。
    許全佑(2004)。以社會網路分析方法探討線上學習社群形成與發展特徵。未出版之碩士論文,淡江大學資訊管理學系,新北市。
    陳東園、莊克仁、郭文耀合著(2004)。大眾傳播學(初版)。臺北縣蘆洲市:空大。
    陳惠卿(2004)。二級傳播對消費者購買俱樂部會員證影響效果之研究。未出版之碩士論文,國立臺灣體育學院,台中市。
    游光昭、蔡福興(2001) 網路化問題導向式學習環境之設計。生活科技教育月刊,34卷(12期),頁18-23。
    黃俊生(2009)。基於社會網路分析連結預測理論之政府官員職位與職務歷程影響研究。未出版之碩士論文,國立政治大學,台北市。
    蔡美瑛(1995)。消費資訊傳散者資訊尋求行為之研究:以臺北市年輕消費族群為例。未出版之博士論文,國立政治大學,台北市。
    鄧景宜、曾旭民、李怡禛、游朝舜. (2011)。International English Big-Five Mini-Markers 之繁體中文版量表發展。管理學報,28(6), 77-113。
    蔡瑤昇、呂文琴、洪榮照(2011)。網路意見領袖量表之建構。電子商務學報,13卷(4期)。頁759-779。
    蕭宜綾(2003)。問題導向學習取向之諮商倫理網路教學研究。未出版之碩士論文,彰化師範大學,彰化縣。
    關超然、李孟智編著(2009)。PBL問題導向學習之理念.方法.實務與經驗 : 醫護教育之新潮流 = Problem-based learning(初版)。臺北市:臺灣愛思唯爾發行總經銷。

    二、英文
    Abdelbary, H. A., & El-Korany, A. (2013). Semantic Topics Modeling Approach for Community Detection. International Journal of Computer Applications, 81.
    Bandura, A. (1977). Social Learning Theory, Englewood Cliffs. NJ : Prentice Hall.
    Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
    Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
    Barrows, H. S. & Tamblyn, R. (1980).Problem-Based Learning: An Approach to Medical Education. NY: Springer.
    Barrows, H. S. (1996). Problem‐based learning in medicine and beyond: A brief overview. New directions for teaching and learning, 1996(68), 3-12.
    Barrows, H., & Kelson, A. (1995). Problem-based learning in secondary education and the problem-based learning institute. Springfield, IL: Problem-Based Learning Institute
    Bayer, J., Bydzovská, H., Géryk, J., Obsivac, T., & Popelinsky, L. (2012). Predicting Drop-Out from Social Behaviour of Students. International Educational Data Mining Society.
    Boud, D., & Feletti, G. (1998). The challenge of problem-based learning: Psychology Press.
    Carless, S. A., & De Paola, C. (2000). The measurement of cohesion in work teams. Small group research, 31(1), 71-88.
    Carron, A. V. (1982). Cohesiveness in sport groups: Interpretations and considerations. Journal of Sport psychology, 4, 123-138.
    Carron, A. V., & Brawley, L. R. (1985). The development to assess cohesion in sport teams. Journal of Sport Psychology, 7, 244-266.
    Carron, A. V., Brawley, L. R., & Widmeyer, W. N. (1998). The measurement of cohesiveness in sport groups. Advances in sport and exercise psychology measurement, 213-226.
    Cartwright, D. and Zander, A. (1968): Group Dynamics: Research and Theory, 3rd. ed.,New York: Harper & Row.
    Chan, T.W., Chung, Y.L., Ho, R.G., Hou, W.J. & Lin, G.L. (1992). Distributed learning companion systems west revisited. The 2nd International Conference of Intelligent Tutoring Systems, C.Frasson, G.Ganthier & G. McCalla (Eds.). Lecture Notes in Computer Science, 608, Springer-Verlag, 643-650.
    Chen, C. M., & Chang, C. C. (2014). Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment. Interactive Learning Environments, 22(1), 97-124.
    Chen, C. M., & Chen, F. Y. (2014). Enhancing digital reading performance with a collaborative reading annotation system. Computers & Education, 77, 67-81.
    Childers, T. L., & Rao, A. R. (1992). The Influence of familial and peer-based reference groups on consumer decisions. Journal of Consumer Research, 19(2), 198-211.
    Corey, L.G.(1971). People Who Claim to be Opinion Leaders: Identifying Their Characteristics by self-report. Journal of Marketing, 35, 48-53.
    Daly, A. J. (2010). Social Network Theory and Educational Change: ERIC.
    Delisle, R. (1997).Use problem-based learning in the classroom. Alexandria, Virginia: Association for Supervision and Curriculum Development.
    Dozier, J., R. E. Davis & R. Perla (1987), On the objective analysis of snow microstructure. In Avalanche Formation, Movement and Effects (B. Salm and H. Gubler, Eds.), IAHS Publ. No.162, Wallingford, UK, 49–59.
    Duch , B. J., Groh, S. E., & Alen, D. E.(Eds.) (2001). The Power of Problem-Based Learning: A Practical ”How To” for Teaching Undergraduate Courses in Any Discipline. Virginia, Sterling: Stylus Publishine, LLC..
    Engel, J. F., Blachwell, R. D., & Kollat ,D. T. (1995). Consumer Behavior ,8th ed,. Forth Worth:Dryden.
    Festinger, L., S. Schachter and K. Back (1950). The spatial ecology of group formation. Social Pressure in Informal Group, L. Festiger, S. Schachter and K. Back. Stanford, CA, Stanford University Press, 146-161.
    Freeman, L.C.(1979). Centrality in networks: I. Conceptual clarification. Social Networks, 1, 215–239.
    George, T. R., & Feltz, D. L. (1995). Motivation in sport from a collective efficacy perspective. International Journal of Sport Psychology, 26, 98-116.
    Girvan, M., & Newman, M. E.(2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12), 7821-7826.
    Goddard, R. D. (2001). Collective efficacy: A neglected construct in the study of schools and student achievement. Journal of Educational Psychology, 93(3), 467-476.
    González, M. G., Burke, M. J., Santuzzi, A. M., & Bradley, J. C. (2003). The impact of group process variables on the effectiveness of distance collaboration groups. Computers in Human Behavior, 19(5), 629-648.
    Granovetter, M.S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78, 1360-1380.
    Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235-266.
    Hogg, M. A. (1992). The Social Psychology of Group Cohesiveness : From attraction to social identity. New York: New York Univ. Press.
    Hou, H. T., Chang, K. E., & Sung, Y. T. (2007). An analysis of peer assessment online discussions within a course that uses project-based learning. Interactive Learning Environment, 15(3), 237-251
    Hung, P.H., Hwang, G.J., Wu, T.H., Lin, I.H., Lee, Y.H., & Chang, W.Y. (2012, March). The Differences of Collaborative Learning and Scientific Inquiry Competencies between Experienced and Novice Learners in Ubiquitous Problem-Based Learning. Paper presented at Wireless, Mobile and Ubiquitous Technology in Education (WMUTE),2012 IEEE Seventh International Conference (pp. 277-281). Takamatsu, Kagawa, Japan.
    Jamali, M., & Abolhassani, H. (2006). Different Aspects of Social Network Analysis, In Proceedings of the 2006 IEEE/WIC/ACM international Conference on Web intelligence, Washington, DC, 66-72.
    Johnson, D. W. & Johnson, R. T. (1985). The internal dynamics of cooperative learning groups. In Slovenia, R., et al.(Eds.),Learning to cooperate, cooperating to learn, 103-124.
    Johnson, D.W. & Johnson, R.T. (1986) .Computer-assisted cooperative learning. Educational Technology, 26(1), 12-18.
    Katz, E. and P. Lazarfeld (1955). Personal influence : The part played by people in the flow of mass communications. New York: The Free Press.
    Lamba, H., & Narayanam, R. (2013). Circle based community detection. Paper presented at the Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop, New Delhi, India.
    Lazarsfeld, P. F., Berelson, B. & Gaudet, H. (1944). The People`s Choice:How the Voter Make up his Mind in President Campaign . New York: Columbia University Press.
    Liu, Y., Lou, S, Shih, R., Meng, H., & Lee, C. (2010). A case study of online project-based learning: The beer king project. International Journal of Technology in Teaching and Learning, 6(1), 43-57.
    Lott, A. J, and Lott, B. E. (1965). Group cohesiveness as interpersonal attraction: a review of relationships with antecedent and consequent variables. Psychological Bulletin, 64:259–309.
    Mancuso, J.R.(1969).Why Not Create Opinion Leaders for New Product Introductions? Journal of Marketing, 33(3), 20-25.
    Mikalachki, A. (1969). Group cohesion reconsidered. London, Canada: University of Western Ontario School of Business Administration.
    Mitchell, J. C. (1969). Social Networks in Urban Situations. Manchester: Manchester University Press.
    Naidu, S., & Oliver, M. (1996). Computer supported collaborative problem-based learning (CSC-PBL): An instructional design architecture for virtual learning in nursing education. Journal of Distance Education, 11(2), 1–22.
    National Association of Secondary School Principals (1979). Student Learning Styles: Diagnosing and Prescribing Programs. Reston, VA: National Association of Secondary School Principals.
    Palazuelos, C., García-Saiz,D. and Zorrilla, M.(2013). Social Network Analysis and Data Mining: An Application to the E-Learning Context. in Computational Collective Intelligence. Technologies and Applications. vol. 8083, C. Bǎdicǎ, N. Nguyen, and M. Brezovan, Eds., ed: Springer Berlin Heidelberg, 651-660.
    Robinson, J. P. (1976). Interpersonal Influence in Election Campaigns: Two Step-Flow Hypotheses. The Public Opinion Quarterly, 40(30): 304-319.
    Roger, E.M. and Shoemaker F. F. (1971). Communication of Innovation: A Cross-Cultural Approach. New York: Free Press.
    Savery,J.R., & Duffy, T.M.(1995).Problem based learning: An instructional model and its constructivist framework. Educational Technology, 35(5), 31-38.
    Scott, J. (2000). Social network analysis : a handbook (2nd ed.). London : SAGE.
    Shaw, M. E. (1981). Group dynamics: The psychology of small group behavior. New York: McGraw Hill.
    Swigger, K. & Brazile, R. (1997).The Virtual Collaborative University. Computers & Education, 29(2/3), 55-61.
    Ting, I., Wang, S.-L., Chi, H.-M., & Wu, J.-S. (2013). Content Matters: A study of hate groups detection based on social networks analysis and web mining. Paper presented at the Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on.
    Wasserman, S., & Faust, K. (1994). Social network analysis : methods and applications. New York: Cambridge University Press.
    Weimann, G. (1994).The Influentials: People Who Influence People, New York, NY: State University of New York Press.
    Wellman, B., & Berkowitz, S. D. (Eds.). (1988). Social structures: A network approach. New York, NY: Cambridge University Press.
    Yalom, I. D. (1995). The theory and practice of group psychotherapy(4th ed.). New York, Basic Books.
    Yu, X., Wei, X., & Lin, X. (2010). Algorithms of BBS opinion leader mining based on sentiment analysis Web Information Systems and Mining (pp. 360-369): Springer.
    Description: 碩士
    國立政治大學
    圖書資訊與檔案學研究所
    102155008
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102155008
    Data Type: thesis
    Appears in Collections:[圖書資訊與檔案學研究所] 學位論文

    Files in This Item:

    File SizeFormat
    500801.pdf1664KbAdobe PDF2152View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback