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題名 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
作者 游宗霖
You, Zong Lin
貢獻者 陳志銘
Chen, Chih Ming
游宗霖
You, Zong Lin
關鍵詞 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
日期 2015
上傳時間 3-Aug-2015 13:26:34 (UTC+8)
摘要 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.
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描述 碩士
國立政治大學
圖書資訊與檔案學研究所
102155008
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0102155008
資料類型 thesis
dc.contributor.advisor 陳志銘zh_TW
dc.contributor.advisor Chen, Chih Mingen_US
dc.contributor.author (Authors) 游宗霖zh_TW
dc.contributor.author (Authors) You, Zong Linen_US
dc.creator (作者) 游宗霖zh_TW
dc.creator (作者) You, Zong Linen_US
dc.date (日期) 2015en_US
dc.date.accessioned 3-Aug-2015 13:26:34 (UTC+8)-
dc.date.available 3-Aug-2015 13:26:34 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2015 13:26:34 (UTC+8)-
dc.identifier (Other Identifiers) G0102155008en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77222-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 圖書資訊與檔案學研究所zh_TW
dc.description (描述) 102155008zh_TW
dc.description.abstract (摘要) 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。		zh_TW
dc.description.abstract (摘要) 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.		en_US
dc.description.tableofcontents 摘要 i
Abstract ii
目次 iv
圖次 vi
表次 vii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究問題 5
第四節 研究範圍與限制 5
第五節 名詞解釋 6
第二章 文獻探討 8
第一節 問題導向學習 8
第二節 社會網路分析與社群探勘 11
第三節 二級資訊傳播理論 14
第四節 團體效能與團體凝聚力 18
第三章 研究設計與實施 21
第一節 研究架構 21
第二節 研究方法 24
第三節 研究對象 25
第四節 實驗設計 26
第五節 研究工具 27
第六節 資料處理與分析 35
第七節 研究步驟 36
第四章 實驗結果分析 38
第一節 研究對象基本資料 38
第二節 社群及意見領袖偵測成效 38
第三節 兩組學習者學習成效分析 39
第四節 兩組學習者社會網路互動分析 45
第五節 兩組學習者團體凝聚力差異分析 50
第六節 訪談資料分析 52
第七節 實驗結果彙整與討論 55
第五章 結論與建議 58
第一節 結論 58
第二節 教學實施建議 59
第三節 未來研究方向 61
參考文獻 62
附錄一 團體凝聚力量表 69
附錄二 Big-Five Mini-Markers量表 70
附錄三 訪談大綱 72		zh_TW
dc.format.extent 1704097 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0102155008en_US
dc.subject (關鍵詞) 社群探勘zh_TW
dc.subject (關鍵詞) 社會網路分析zh_TW
dc.subject (關鍵詞) 問題導向學習zh_TW
dc.subject (關鍵詞) 合作學習zh_TW
dc.subject (關鍵詞) community miningen_US
dc.subject (關鍵詞) social network analysis,en_US
dc.subject (關鍵詞) problem-based learningen_US
dc.subject (關鍵詞) cooperative learningen_US
dc.title (題名) 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zh_TW
dc.title (題名) Two-step flow of communication for promoting collaborative problem-based learning performance based on community detection scheme with exploring opinion leadersen_US
dc.type (資料類型) thesisen
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