在電子書教學環境下探討專注度對學習成效的影響

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姓名

黃信評(SIN-PING HUANG) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

在電子書教學環境下探討專注度對學習成效的影響
(Explore the impact of attention on learning performance in the e-book teaching environment)

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至系統瀏覽論文 (2026-7-9以後開放)

摘要(中)

在教育領域中，透過大數據來改善學生的學習成效是近期非常熱門的議題，學生在課程上的專注度顯然是影響學習表現的一個關鍵因素，在過去的研究中，測量學生的專注度往往是透過問卷的方式來進行，該方法所得到的結果顯得不夠客觀，存在著自我感覺良好或信心度不足的問題，後來測量專注度逐漸改由硬體的方式做測量，例如腦電波或心律等方式，雖然硬體的測量方式較為精確，但是設備的成本也大幅提高，並且讓學生穿戴這些硬體設備可能會使學生處在非自然的學習環境下進行量測。因此本研究採用軟體的方式對學生進行專注度的量測，透過電子書上的閱讀日誌來分析學生在課堂中專注度，並探討專注度能否作為預測學習成效的重要指標，最後規劃一套訓練來提升學生的專注度。
研究結果顯示電子書閱讀日誌與學生的課堂提問分數都可以量測專注度，並且學生在課堂的專注度是影響他們學習成效的關鍵因素，這代表具有高專注度的學生往往能夠取得更好的學習成效，並且在我們的訓練中發現，學生的專注度在每周的訓練後都得到了提升，反之沒有經過訓練的其他班級隨著課程難度越來愈高後，專注度也隨之降低，這也說明了訓練對學生的專注度有著顯著的正面影響。

摘要(英)

In the field of education, Using big data to improve student learning performance is a very popular topic recently. The attention of students in the class is obviously a key factor affecting learning performance. In past studies, the attention of students is often measured. It was carried out through questionnaires. The results obtained by this method were not objective enough, and there were problems of feeling good or lack of confidence. Later, the measurement of attention was gradually changed to a hardware method, such as brainwave or heart rate, although the hardware measurement method is more accurate, the cost of the equipment is also greatly increased, and students wear these hardware devices may cause the students to perform measurements in an unnatural learning environment. Therefore, this study uses software to measure the attention of students, analyzes the attention of students in the classroom through the reading log on the e-book, and explores whether attention can be an important indicator of predicting learning performance, and finally plans a set Training to improve the attention of students.
The research results show that both the e-book reading log and the student’s classroom questioning score can measure attention, and the attention of students in the classroom is a key factor affecting their learning performance. This means that students with high attention can often achieve better learning outcome, and in our training, we found that the attention of students has been improved after the weekly training. On the contrary, the attention of other classes that have not been trained will decrease as the difficulty of the course becomes higher and higher. This also shows that training has a significant positive impact on students′ attention.

關鍵字(中)

★ 學習分析
★ 學習專注度

關鍵字(英)

★ Learning Analytics

論文目次

摘要 I
ABSTRACT II
目錄 IV
圖目錄 VI
表目錄 VII
一、緒論 1
二、文獻探討 2
2.1 學習專注度 2
2.2 影響學習成效之因素 3
2.3 訓練專注度 4
三、研究方法 6
3.1研究對象與教學環境 6
3.2專注度測量 7
3.2.1萃取原始資料 8
3.2.2建立閱讀歷程 8
3.2.3計算專注度分數 9
3.2.4專注度問卷 10
3.3資料分析技術 11
3.3.1皮爾森相關係數(Pearson Correlation) 11
3.3.2線性迴歸分析 (Linear regression) 12
3.3.3成對樣本t檢定 (Paired Sample t test) 15
3.3.4獨立樣本t檢定 (Independent Sample t test) 16
3.4專注度訓練方法 16
四、研究結果與討論 20
4.1 研究問題一 20
4.2 研究問題二 23
4.3 研究問題三 25
五、結論與未來研究 30
六、研究限制 33
七、參考文獻 34
附錄A 36
附錄B 37

參考文獻

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指導教授

楊鎮華(JHEN-HUA YANG)

審核日期

2021-7-9

推文