隨著科技的進步，各學校皆開始推行校園資訊化，針對功能存取方面，將校內作業與資訊放在網路上，透過網頁或App等供人使用、查詢及修改，讓學生及師長無論在何處，皆能使用校內的網路系統作業。而針對學生服務方面，則著重學生所關切的學習及食衣住行之校園資訊化。但由於少子化的影響，許多學校的招生數也逐年減少，因此本研究擬提出著重互動式之智慧校園應用，相較於目前各校所推出的校園資訊化，智慧校園更能因人、事、時、地、物而有不同的服務，使服務能更貼近學生需求，也更能突顯校園特色。
本論文共設計了兩個智慧校園應用。首先，我們針對招生推廣，設計了校園智慧導覽系統，將校園內建築與藝術品的介紹，結合手機的GPS、Wi-Fi及Bluetooth之低功耗iBeacon技術進行定位，在特定地點時便顯示相對應之校園資訊。除此之外，此系統也讓使用者以感應NFC標籤、掃描QR Code的方式，來使用組隊、導航、顯示詳細資訊等貼心功能。本論文另一個重要的工作是，設計一線上考題作答系統，將考題資訊化並匯入資料庫，供學生們無論何時何地，都可以使用來加強學業。此系統亦會在後端統計學生答題資訊，使用大數據的方式來分析題目之難易度與偵測題目是否有錯誤，便能讓校方了解學生學習情況、老師教學成效並提出教學方針之建議等資訊。希望透過此兩系統將資訊化校園提升成智慧校園，並幫助學校在招生人數上有所提升。

With the advancement of technology, campus information technology development are becoming more and more popular. For function access, they upload the administrative work and campus information on the internet, so that students and teachers can be able to use it anywhere, anytime. For student service, they focus on developing students’ lifestyle and learning on campus information technology. However, due to the impact of the declining birthrate, the number of admissions in many campus has been decreased year by year. So, this study is to propose i-campus interactive application, compared to the current campus information technology, i-campus application can be different due to who you are, what you do, where you stand and when you use it. Because of it, i-campus application not only provides service which can be closer to the needs of everyone, but also highlights the campus characteristic.
    This paper designed two i-campus application. First, for the promotion of the campus characteristic to increase admissions, we designed an i-campus guiding system, which combined the GPS, Wi-Fi positioning, Bluetooth low-power iBeacon positioning technology, can display the history and characteristic information of the campus buildings nearby. Moreover, this system also allows user to sense NFC tags, or scan QR Code for displaying more details, grouping, navigating and more functions. For the second application, we designed online quizzing system, which uploaded the questions of the exam to the database on cloud. It provides students ability to studying on anywhere and anytime. This system will also record the answer and the score of every students. Using Big Data, we can analysis the difficulty of the subject and detect if the question abnormal or not. Finally, we can notice the teachers about their teaching effectiveness and make recommendations on teaching.

目錄
圖目錄	VI
第一章、簡介	1
第二章、相關研究	4
第三章、背景知識	7
3-1.	Android作業系統	7
3-2.	QR Code技術與簡介	10
3-3.	NFC 技術與簡介	11
3-4.	低功耗藍牙與iBeacon技術與簡介	12
第四章、系統架構	14
4-1.	校園地圖模組	15
4-2.	前端顯示模組	16
4-3.	資料辨識模組	17
4-4.	資料介紹模組	19
4-5.	資料庫連結模組與伺服器端	21
4-6.	學生登入模組	22
4-7.	出題系統模組	23
4-8.	排行榜系統模組	24
4-9.	資料庫連結模組與後端分析顯示模組	26
第五章、系統展示	28
5-1.	校園智慧導覽系統	28
5-2.	線上考題作答系統	34
第六章、結論	37
參考文獻	38
附錄-英文論文	40

圖目錄
圖1. 招生率第二曲線示意圖	2
圖2. Android系統架構	7
圖3. Net Applications網站統計行動裝置使用率	9
圖4. QR Code圖示說明	10
圖5. 使用QR Code的目的	11
圖6. 智慧校園導覽系統架構圖	14
圖7. 室內定位系統測試圖	15
圖8. 校內景點導航概念圖	16
圖9. Beacon訊號判斷流程圖	17
圖10. 校內Wi-Fi訊號圖	18
圖11. Wi-Fi訊號判斷流程圖	19
圖12. 展覽品介紹概念圖	20
圖13. 建築物介紹概念圖	21
圖14. 線上考題作答系統架構圖	22
圖15. 難易度調整流程圖	23
圖16. 查看排行榜概念圖	25
圖17. 資料庫內容格式	25
圖18. 異常判斷決策樹概念圖	26
圖19. 長條圖html網頁顯示圖	27
圖20. 校園地圖	28
圖21. 自動標示目標建築	28
圖22. 路線導覽至該建築	29
圖23 側邊選單欄	29
圖24 組隊畫面	30
圖25 使用者隊伍QR Code介面	30
圖26. QR Code掃描畫面	31
圖27. 隊員位置顯示	31
圖28. Wi-Fi自動介紹畫面	32
圖29. Beacon自動介紹畫面	32
圖30. 展覽品介紹畫面	33
圖31. 耗電量折線圖	34
圖32. 主畫面顯示基本資料	35
圖33. 挑戰題庫畫面	35
圖34. 設定畫面	35
圖35. 排行榜畫面	35

[1]	Jason W.P. Ng, Nader Azarmi, Marcello Leida, Fabrice Saffre, Ali Afzal, and Paul D. Yoo, “The Intelligent Campus (iCampus) End-to-end learning lifecycle of a knowledge ecosystem,” International Conference on  Intelligent Environments, Kuala Lumpur, July 2010.
[2]	Dirk Van Merode, Galyna Tabunshchyk, Kostiantyn Patrakhalko, and Goncharov Yuriy, “Flexible technologies for smart campus,” International Conference on Remote Engineering and Virtual Instrumentation, Madrid, Feb. 2016.
[3]	Zhiwen Yu, Yunji Liang, Bukan Xu, Goncharov Yuriy, Yue Yang, and Bin Guo, “Towards a Smart Campus with Mobile Social Networking,” IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing, Dalian, Oct. 2011.
[4]	Yin Ye, Zhou Jun, and Yin Jian, “Design of World Expo Tour Sites Guide System Based on RFID Technology,” International Conference on Audio Language and Image Processing, Shanghai, Nov. 2010.
[5]	Vineet Singh, Akeshnil Bali, Avinesh Adhikthikar, and Rohitash Chandra, “Web and Mobile based Tourist Travel Guide System for Fiji's Tourism Industry,” Asia-Pacific World Congress on Computer Science and Engineering, Nadi, Nov. 2014.
[6]	Zimu Song, and Kaixue Yao, “The Design and Implementation of Mobile Intelligent Terminal Guide System Based on the Internet of Things,” International Symposium on Computational Intelligence and Design, Hangzhou, Dec. 2014.
[7]	Vincent Tam, S.W. Cheung, Wilton Fok, K.S. Lui, Jade Wong, and Beta Yip, “Turning Mobile Phones into a Mobile Quiz Platform to Challenge Players' Knowledge: An Experience Report,” IEEE International Conference on Advanced Learning Technologies, Cantabria, July 2008.
[8]	Han-Bin Chang, “Integrating Baseball and Quiz Game to a Learning Platform,” Joint Conferences on Pervasive Computing, Taipei, Dec. 2009.
[9]	Daniel Schön, Stephan Kopf, and Wolfgang Effelsberg, “A Lightweight Mobile Quiz Application with Support for Multimedia Content,” International Conference on e-Learning and e-Technologies in Education, Lodz, Sept. 2012.
[10]	Wikipedia, “Android”,
https://en.wikipedia.org/wiki/Android
[11]	Wikipedia, “QR Code”,
https://en.wikipedia.org/wiki/QR_code
[12]	Wikipedia, “Near field communication,
https://en.wikipedia.org/wiki/Near_field_communication
[13]	Wikipedia, “Bluetooth”,
https://en.wikipedia.org/wiki/Bluetooth