應用成分分析萃取閱讀行為並探索與學習成效及SQ3R的關係;Apply factor analys is to extract reading patterns and explore the relationship with Learning performance and SQ3R

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/88329

Title:	應用成分分析萃取閱讀行為並探索與學習成效及SQ3R的關係;Apply factor analys is to extract reading patterns and explore the relationship with Learning performance and SQ3R
Authors:	張晃銘;Chang, Huang-Min
Contributors:	資訊工程學系在職專班
Keywords:	線上學習;電子書;SQ3R;探索性因素分析;線性迴歸;Online learning;eBook;SQ3R;EFA;Linear regression
Date:	2022-01-19
Issue Date:	2022-07-13 22:46:55 (UTC+8)
Publisher:	國立中央大學
Abstract:	近年來，隨著科技的演進，線上學習不再是一個新奇的名詞，而是逐漸的被社會大眾所接受與喜愛的一種學習方式，並且也深受本國各大專院校所廣泛推廣，像是台大、清大和成大，都有學校自有的線上開放式課程，透過線上學習的方式，學生不論是處於靜謐的公園中還是熱血的球場上，都可隨時隨地的參與線上課程。近年由於新冠病毒的傳播，要盡量減少與他人的接觸，因此也造就了人們進行線上學習的一股熱潮。目前各大線上學習平台都能讓授課教師更輕鬆與更快速地進行課程設計，不論是教學影片與電子書的搭配，或是設定線上教學後的隨堂測驗。在課程中，教師可透過平台提供的統計資訊，隨時了解當下課堂狀況，例如: 課堂影片學生觀看人數統計、課堂測驗學生答題率…等，而學生於平台上所有對於系統的操作行為，也會被學習平台所記錄，建立起完整的操作紀錄，課堂教師雖然能透過這些統計資訊了解當下課堂的狀態，但沒辦法透過這些資訊來發現學生在學習中是否遭遇問題，以利給予適當的協助。本研究建立於BookRoll線上學習平台上，透過此平台記錄學生操作電子書所產生的行為資料(log)，經由方法論，將資料進行處理且編碼成學習物件。之後經由探索性因素分析（Exploratory Factor Analysis, EFA）萃取出其中的閱讀樣式(reading pattern)，並探討其與學期成效之間的關聯性。因學生於學習的過程中有使用SQ3R的閱讀策略，所以會再藉由線性迴歸 (Linear regression) 建立起閱讀樣式、SQ3R及學習成效的迴歸結果，找出閱讀樣式、SQ3R及學習成效之間的關聯性。;In recent years, with the evolution of technology, online learning is no longer a new word , but a learning method that is gradually accepted and loved by the public, and is also widely promoted by various colleges and universities in the country, such as National Taiwan University, National Tsing Hua University and National Cheng Kung University all have their own online open courses. Through online learning, students can participate in online courses anytime, anywhere, whether they are in a quiet park or on a passionate stadium. In recent years, due to the spread of the Coronavirus , it is necessary to minimize contact with others, which has also created a wave of online learning among people. At present, all major online learning platforms can make it easier and faster for instructors to design courses, whether it is a combination of teaching videos an d e books, or setting up quiz after online teaching. In the course, teachers can use the statistical information provided by the platform to know the current classroom situation at any time, such as: the statistics of the number of students watching the class video, the student answer rate of the class test... etc., and all the students′ behaviors are a l so be recorded by the learning platform, and a complete operation record will be established based on these data. This research is established on the BookRoll online learning platform. Through this platform, the behavior data (log) generated by students operating the e book is recorded, and the data is processed and encoded into learning objects through methodology. Afterwards, the reading pattern was extracted through Exploratory Factor Analysis (EFA), and the relationship between it and the results of the semester was explored. Because students use SQ3 R reading strategies in the learning process, linear regression will be used to establish a regression model of reading pattern, SQ3R and learning outcome to find the relationship between each other.
Appears in Collections:	[Executive Master of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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