結合個人筆記與行動學習之應用程式開發

A Development of Combining Personal Notes with Mobile Learning Application

10.6826/NUTC.2012.00042

林世昌

遠距教學 ； 行動學習 ； 個人筆記 ； 社群網站 ； iOS ； Distance Education ； M-Learning ； Personal Notes ； Social Network Sites ； iOS

臺中科技大學多媒體設計系碩士班學位論文

2012年

碩士

徐豐明

繁體中文

資訊科技之發展迅速，尤其網路與無線網路的蓬勃發展，帶動教育領域學習上的模式的改變，通訊傳輸技術的興起，將一般數位學習透過無線網路傳遞，且智慧型手機有著硬體體積縮小以及運算能力增加，能夠讓學習者在學習上有更高的自由度和便利性，除此之外，應用電腦輔助溝通，達到虛擬溝通已逐漸普及化，社群網站成為主要發展之潮流之一。 遠距教學、行動學習都受限於傳播媒介的影響，在學習上互動通常為單向式溝通方式；因此，希望透過媒體間之整合與增加目標功能，加值學習者在行動學習上之學習互動。本行動學習應用程式在系統開發之前，先分析行動學習功能需求與開發平台，將實作出整合Facebook SDK與iOS作業系統的應用程式，計畫增加個人化目標功能，並且建置後端管理平台。 本研究問卷以李克特五等距量表擬定，評估使用者滿意度調查，問卷結果顯示在介面部分與功能滿意度部分，正向問題平均數都在4分以上，反向問題平均數也在3分以下；另一部分也進行實際系統測試分析，以無線網路連接方式，分為定點式(Wi-Fi)與移動式(3G)，測試結果顯示，整體性上Wi-Fi的數據顯示均高於3G連線；因此綜合上述，使用者對於使用本行動學習應用程式都反應良好，在穩定的無線網路環境下使用會使系統效益提升。

The information technology had been developed rapidly, especially internet and wireless internet. They changed model of learning to educational field. The growth of communication technology makes the e-learning data through wireless internet. And also smartphone have small hardware with powerful computing. That makes learner have more convenient and dynamic. Besides, applying computer-mediated communication is more common in nowadays. Particularly, the social network sites are become mainstream development. Distance Education and M-Learning are restricted by communication media. The interaction is usually single way communication in learning. Therefore, we integrated different media with functionality to add value learning interaction in M-Learning. Firstly, we analyzed the M-Learning functionalities by user questionnaire. Then, we implemented an iOS based application with Facebook SDK and personalized function. Also we build a back-end platform to manage content. Our questionnaire is using Likert 5 scales to evaluate. The user satisfaction questionnaire is about interface and functionality. The mean of positive question is more than 4 points, and the mean of negative question is less than 3 points. The other part, we tested our application in real M-Learning environment into two parts, Wi-Fi and 3G. The results show that Wi-Fi mean of efficiency are higher than 3G. Accordingly, the users are response well to our M-Learning application and system efficiency will be increased in stable wireless environment.

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