臺灣博碩士論文加值系統

近代資訊網路擴展迅速，學習型態的發展也趨向多元化，在逐漸備受重視的數位學習領域中，線上影片學習是重要的發展趨勢之一。本研究開發了一套影片學習平台，讓使用者在影片學習中可以透過文字或圖片去註記重點片段並製作成線上筆記本。本系統會在使用者學習的過程中紀錄使用者的行為歷程，以期望能掌握學習者影片學習的歷程。經過不等組準實驗設計，有使用本系統的實驗組(39人)確實在學習成效上明顯高於使用一般影片學習系統的控制組(80人) 。透過學習歷程的分析後我們也發現:有參與製作筆記本的同學在圖片註記以及觀看影片的歷程動作上，皆對於學習成績有正向的影響力，本文在結論中也會依據分析結果探討其實驗成效。

The rapid expansion of modern information network has prompted the development of learning practice to become more diversified. Amid an increasingly focus on digital learning perspective, online video learning is one of the important development trends. In this study, a video learning platform was developed to allow users to annotate the key clips and make them into an online notebook through the text or diagrams while performing video learning. The users’ behaviors were recorded by the system during their learning process in hope to master the video learning course of the learners. An unequal grouping experiment design was adopted. The research findings show that the learning outcome of the experiment group of 39 participants was significantly more effective than the control group of 80 participants who used the general video learning system. The learning process was analyzed and the results are shown as follows: Students involved in producing the notebook have a positive impact on learning performance during the process of picture annotation and video watching. The experimental effect was further explored based on the concluded analytical results of the paper.

摘 要 i
ABSTRACT ii
致 謝 iii
目錄 iv
表格目錄 vi
圖片目錄 vii
第一章、 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 1
1.3 論文架構 3
第二章、 文獻探討 4
2.1 影片學習 4
2.2 Mayer 多媒體認知模型 6
2.3 影片註記功能 6
2.4 線上筆記本 7
2.5 學習歷程紀錄 8
第三章、 影片註記學習系統 9
3.1 多媒體認知模型 9
3.2 系統架構 10
3.2.1 影片註記模組 11
3.2.2 註記分類模組 12
3.2.3 註記統整模組 12
3.2.4 筆記本模組 13
第四章、 系統實作 20
4.1 影片註記使用流程 21
4.2 註記分類使用流程 23
4.3 筆記本統整使用流程 25
4.4 觀看筆記本使用流程 27
第五章、 研究方法 28
5.1 實驗設計 28
5.2 資料分析方法 30
5.2.1 單因子共變數分析(ANCOVA) 30
5.2.2 PLS(偏最小平方法) 31
第六章、 研究結果與分析 32
6.1 描述性統計 32
6.2 系統對學習成效的影響 37
6.3 影片筆記歷程的分析 39
6.3.1 學習歷程預測模型與相關分析 39
6.3.2 信度與效度分析 43
6.3.3 結構化模型分析 45
第七章、 結論與未來展望 50
參考文獻 52

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