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作者(中文):黃勁元
作者(外文):Huang, Jing-Yuan
論文名稱(中文):用認知情意投入模型探討大學生多文本之閱讀行為與理解-集群分析之研究
論文名稱(外文):Using Cognitive Affective Engagement Model to Investigate College Students’ Multiple-Text Comprehension – A Cluster Analysis Study
指導教授(中文):陳素燕
指導教授(外文):Chen, Su-Yen
口試委員(中文):陳昭珍
王慧菁
口試委員(外文):Chen, Chao-Chen
Wang, Hui-Ching
學位類別:碩士
校院名稱:國立清華大學
系所名稱:學習科學與科技研究所
學號:108291514
出版年(民國):111
畢業學年度:111
語文別:中文
論文頁數:176
中文關鍵詞:多重來源資訊閱讀整合能力情意投入集群分析閱讀行為模式
外文關鍵詞:Multiple source comprehensionIntegrationAffective engagementCluster analysisReading profile
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本研究的核心目的為探討認知與情意的個體差異因素,在多文本閱讀情境當中的效果。多文本閱讀意指針對特定主題,從多個資訊來源進行閱讀理解之行為,其中包括來源資訊的辨認、調節與統整等較高層次的認知程序,從複雜的多文本情境當中建立整合的認知表徵(cognitive representations)。現代網路資訊的多樣性,使得多文本的閱讀能力成為重要的新素養之一,因此探討讀者於資訊整合的認知程序,以及其影響因素成為現今的關鍵研究議題。而過去的研究範疇多數關注於認知層面的因素探討,而較少結合情意面向進行著墨,因此本研究將以「認知情意投入模型」(Cognitive Affective Engagement Model, CAEM)作為理論框架,選定「新冠疫苗的選擇」作為時事主題,蒐集不同來源以及觀點衝突的文本,檢視大學生從行為傾向(behavioral dispositions)與情意投入(affective engagement)兩個面向的模式與學習產出,使用集群分析,對學生於個體差異因素產生的閱讀預設立場,以及學生如何使用文本的閱讀行為指標來分群,探討個體差異因素、閱讀行為以及多文本任務產出表現之間的關聯。
This study examined the effect of cognitive and affective factors in students’ learning from multiple texts. Multiple text comprehension refers to the behavior to extract information from multiple sources under a certain topic, and requires higher-level cognitive process such as identifying, corroborating and summarizing across sources to achieve an integrated cognitive representation of complicated multiple texts’ context. The Internet created a vast variety of information sources, which make the ability to perform multiple text comprehension become a crucial competency and therefore a critical research topic. Prior works have mainly focused on factors within cognitive dimension, and limited work is done to examine the combined effect of affective factors. Based on the cognitive affective engagement model (CAEM) of multiple-source use, this study plan to use ‘choosing the COVID-19 vaccines’ as the reading topic relevant to the readers, and select texts with varied opinions as well as expertise from the Internet, and to conduct cluster analysis to identify reading profiles from students’ multiple text use behavior as well as from the default stances among students' individual difference factors, then explore the relationship between the reading profiles and the learning outcome.
摘要 II
Abstract III
目錄 1
表目錄 4
圖目錄 5
第一章 緒論 6
1.1 研究背景與動機 6
1.2 研究目的 10
1.3 研究問題 11
1.4 名詞解釋 11
第二章 文獻探討 15
2.1 多來源文本閱讀 15
2.1.1 建構-整合模型 17
2.1.2 文件模型 17
2.1.3 多文件任務導向相關性評估與內容萃取模型 18
2.1.4 認知情意投入模型 19
2.1.5 多文本整合框架 20
2.2 多來源的閱讀建構模式 21
2.2.1 個體差異因素帶動行為與表現預測 28
2.2.2 基於問題種類的文本選擇行為模式 30
2.2.3 基於時間分布的閱讀行為模式 33
2.2.4 檢視情意面向的興趣操作與效果 38
2.2.5 認知情意投入理論模型探討 42
2.2.6 基於預設立場的集群分析 45
第三章 研究方法 49
3.1 研究進程 49
3.2 研究架構 51
3.3 研究對象 52
3.4 研究工具 53
3.3.1 先備知識 54
3.3.2 閱讀主題興趣 55
3.3.3 閱讀主題態度 56
3.3.4 來源評估能力 57
3.3.5 閱讀任務 58
3.3.6 閱讀文本 59
3.3.7 文本評估 63
3.3.8 回答產出 63
3.5 資料收集 64
3.5.1 前測資料 65
3.5.2 行為紀錄蒐集 65
3.5.3 文本評估 66
3.5.4 回答產出文章 66
3.6 資料分析 66
3.7 前導測試與專家諮詢 70
第四章 結果與討論 71
4.1 描述性統計 71
4.1.1 前測 72
4.1.2 行為變數 74
4.1.3 文本評估 78
4.1.4 回答產出 79
4.2 集群分析 79
4.2.1 閱讀時間集群 80
4.2.2 讀者特質集群 84
4.2.3 行為模式與讀者特質模式 88
4.3 文本評估 89
4.4 回答產出 91
4.5 綜合分析與討論 93
4.5.1 閱讀行為模式 93
4.5.2 讀者特質模式與預設立場的對應關係 100
4.5.3 讀者特質與行為模式 106
4.5.4 讀者特質、行為模式與文本評估 108
4.5.5 讀者特質、行為模式與回答產出 112
第五章 結論 115
5.1 研究發現 115
5.2 結論 126
5.3 研究建議 129
5.4 教學建議 131
5.5 研究限制 133
參考文獻 137
附錄 143
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