適用於不同聽力理解程度學習者的英語影片學習系統

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姓名

林政廷(Cheng-Ting Lin) 查詢紙本館藏

畢業系所

網路學習科技研究所

論文名稱

適用於不同聽力理解程度學習者的英語影片學習系統
(The Use of an English Video Learning System for the Oriented EFL Learner: Students’ Evaluation toward the Adaptive Levels of the Selected Video Clips)

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摘要(中)

本研究開發一套適用於不同聽力理解程度學習者的英語影片學習系統，希望能夠提供符合學習者聽力理解能力且充足完整的影片情境來輔助學習者英語聽力理解，並藉由SVM演算法以自動化的方式建立影片難度分級。此外，本研究設計一項實驗來評估使用字幕特徵、聲音特徵、字幕及聲音特徵，以哪種特徵方式所分類出來的影片最符合學習者聽力理解能力，以及對於輔助聽力理解成效之差異性。最後透過科技接受度和系統品質問卷調查學習者使用本系統後，對於系統的滿意度。實驗結果發現，第一，在聽力理解能力為高程度與中程度的學習者，使用字幕聲音特徵所分類出來的影片最符合其聽力理解能力。然而對聽力理解能力為低程度的學習者，使用字幕特徵所分類出來的影片，最符合其聽力理解能力。第二，不論使用字幕特徵或字幕聲音特徵所分類出來的影片，皆有助於學習者英語聽力理解。第三，學習者對於系統的滿意度，包含系統有用性、系統易用性以及系統品質上，皆給予正面的評價。

摘要(英)

The study proposed an English video learning system adapted to oriented EFL learners with various listening comprehension. The English video learning system not only suits to learners with various listening comprehension but also offers plenty of video context to improve learners’ listening comprehension. Moreover, the learning system would classify the videos into clips with different levels of difficulty automatically according to SVM algorithm. Besides, we conducted an experiment to evaluate the effects for using features based on various attributes, such as subtitle, audio, both subtitle and audio. The study validated that which feature suit and help learners most on listening comprehension, as well as the differences between them. We made use of the questionnaires of Technology Acceptance Model and System Quality to evaluate the learners’ satisfaction toward the learning system after using it. The results of the experiment are shown as follows. First, the high and medium level learners suit to the video clips classified according to features of both subtitle and audio most. However, the low level learners suit to the video clips classified according to features of subtitle most. Second, the video clips classified according to features of both subtitle and audio is contributive to facilitate learning comprehension. Third, the learners show positive on usability, easy-to-use, as well as quality of the system.

關鍵字(中)

★ 影片分類
★ 支持向量機
★ 英文聽力理解
★ 場景分割

關鍵字(英)

★ support vector machines
★ video classification
★ scene segmentation
★ English listening comprehension

論文目次

摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
第一章緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 2
1.4 研究限制 3
1.5 論文架構 3
第二章文獻探討 4
2.1 聽力理解 4
2.2 影響聽力理解的因素 5
2.3 多媒體學習對於聽力理解的影響 6
2.4 影片自動化分類 9
2.5 支持向量機 10
2.6 文獻探討總結 11
第三章系統實作 12
3.1 系統架構 12
3.2 影片匯入處理 13
3.2.1 影片場景偵測模組 14
3.2.2 聲音分類SVM模組 16
3.2.3 發音縮減特徵SVM模組 18
3.2.4 說話清晰度計算模組 20
3.2.5 單字原型化處理模組 20
3.3 場景難易度SVM分群 20
3.3.1 聲音特徵 21
3.3.2 字幕特徵 23
3.3.3 特徵擷取小結 23
3.3.4 場景難易度SVM模組 24
3.3.5 影片分類處理程式介面 25
3.4 場景檢索 27
3.4.1 系統使用流程 27
3.4.2 系統操作介面 27
第四章實驗設計 30
4.1 實驗背景及目的 30
4.2 實驗流程 31
4.3 研究工具 32
4.3.1 聽力測驗試題 32
4.3.2 混淆字理解試題 33
4.3.3 問卷調查 33
4.3.4 系統使用記錄 34
第五章結果與討論 36
5.1 系統使用記錄分析 36
5.2 混淆字理解試題結果分析 39
5.2.1 組內前後測成績 39
5.2.2 組間前後測成績比較 41
5.3 問卷調查結果分析 43
5.3.1 系統評量問卷的效度分析 43
5.3.2 系統評量問卷的相關分析 43
5.3.3 開放式問卷 46
5.4 討論 47
5.4.1 英語影片難度自動化分類 47
5.4.2 英語影片學習系統 48
第六章結論與未來工作 49
6.1 研究結論 49
6.2 研究貢獻 50
6.3 未來工作 51
參考文獻 52
中文部分 52
英文部分 53
附錄一英語學習背景問卷調查 57
附錄二整體系統評量問卷 59

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指導教授

楊接期(Jie-chi Yang)

審核日期

2010-8-9

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