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研究生:蔣安平
研究生(外文):An-Ping Chiang
論文名稱:有限狀態機於情境感知行動學習之應用
論文名稱(外文):Context Aware Mobile Learning with Finite State Machines
指導教授:王元凱王元凱引用關係
指導教授(外文):Yuan-Kai Wang
學位類別:碩士
校院名稱:輔仁大學
系所名稱:電子工程學系
學門:工程學門
學類:電資工程學類
論文出版年:2005
畢業學年度:93
語文別:中文
論文頁數:51
中文關鍵詞:無線應用行動學習情境感知有限狀態機
外文關鍵詞:Wireless ApplicationMobile LearningContext AwareFinite State Machine
相關次數:
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隨著無線網路技術的不斷進步,情境感知已成為行動學習的新方向。在這裡我們提出一個方法建構情境感知行動式學習模型,以有限狀態機(Finite States Machine)的狀態轉移機制,建構出不同的學習情境之間的互動關聯,增加學習情境間的預測性,以減少操作或計算時的負載,並因應情境作出適當的回應(學習服務功能),讓系統可以將適切的學習資訊提供給使用者。
With the prevalence of wireless network technology, context awareness has already become the new research direction for mobile learning. We propose a mechanism of finite state machine to construct and describe context awareness of mobile learning. Dynamic transition among learning situations is modeled as state transition within learning state machine. The learning state machine mechanism helps a context-aware mobile learning system respond proper learning content to learners. The mechanism consists of a hierarchical structure which includes raw data, context factor and learning state. A prototype system is constructed to demonstrate the feasibility of learning state machine mechanism.
中文摘要 i
英文摘要………………………………………………………………………………ii
致 謝………………………………………………………………………………iii
目 錄 iv
圖 目 錄 vi
第一章 緒論 1
1.1 研究動機 1
1.2 研究主題 3
1.3 研究目的 4
1.4 論文架構 5
第二章 相關研究 7
2.1 行動學習 7
2.1.1 行動學習的目的 8
2.1.2 行動學習系統 8
2.2 情境感知 11
2.2.1 情境的定義 11
2.2.2 情境感知的相關研究計畫及應用 14
2.2.3 情境感知與行動學習 21
2.3 有限狀態機 24
2.3.1 有限狀態機的定義 25
2.3.2 有限狀態機的應用 25
第三章 情境感知的有限狀態機架構 28
3.1 情境因子 29
3.2 學習狀態 31
3.3 學習狀態機 32
第四章 系統設計及架構 36
4.1 系統方法 37
4.2 系統運作流程 39
4.3 情境資訊之處理 40
4.4 系統實作 42
4.4.1 CAML Desktop 42
4.4.2 Slide Navigator 43
4.4.3 Group Chatting 44
4.4.4 File Transmiter 44
第五章 結論 46
第六章 未來方向 47
參考文獻 48
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[8]A. Dye, (2003). Mobile Education- A Glance at The Future. Norway. [Online]. Available: http://www.dye.no/articles/a_glance_at_the_future/abstract.html
[9]M. Laroussi, “New e-learning services based on mobile and ubiquitous computing: Ubi-Learn project,” CALIE 04 Computer Aided Learning in Engineering Education, Grenoble, France, 2004.
[10]M. Sung, J. Gips, N. Eagle, R. DeVaul, S. Pentland, “MIT.EDU: System Architecture for Real-World Distributed Multi-user Applications in Classroom Settings,” IEEE Int. Workshop Wireless and Mobile Technologies in Education, pp. 43-51, 2004.
[11]MOBIlearn Project. [Online]. Available: http://www.mobilearn.org
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[14]G. Chen, D. Kotz, “A Survey of Context-Aware Mobile Computing
Research,” Dartmouth Computer Science Technical Report TR2000-381. 16 September 2002.
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[20]L. C. Wong, M. C. Lee, K. W. Chan, “GSM-based Mobile Positioning using WAP,” Proceedings of IEEE Internal Conference on Wireless Communications and Networking Conference, pp. 23-28, 2000.
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