隨著微機電系統的發展，各種無線感測、驅動、服務設備越來越容易取得，這些設備也使得情境知覺環境更為可行。至今大部分討論的學者都在探討如何正確的找出使用者的行為模式，有效的預測使用者需求並且提供適當的服務。不少學者也將情境知覺的概念導入到日常生活裡，例如智慧型家庭、智慧型會議室等，並且建置各種情境知覺系統。因此，本論文中即以教學環境為主，教師為對象，實際建置情境知覺系統，提供適當的服務給教師。
本篇論文將情境知覺概念導入到教學環境當中，同時根據情境知覺的定義，建置智慧型教室。同時整合RFID、感測設備、設備控制器等設備。本論文中的智慧型教室提供三種基本的服務：投影片、音量控制、燈光亮度等服務。本論文中將情境知覺問題視為資料探勘問題，使用決策樹找出使用者狀態與服務類型之間的對應關係。本篇論文中，可以找出始用者常用的服務類型，並且能夠依據使用者行為模式，有效的提供適當的服務。本篇論文中的系統，可以根據使用者行為的改變，從資料庫的歷史資料再次訓練決策模組。

Due to the advances in Micro-Electro-Mechanical Systems (MEMS), many ready-made wireless sensors, actuators, interface kits are available in the market. The availability of these components has made the creation of a context aware environment possible. A context aware environment seamlessly integrates the computing and communication devices into a physical environment to provide the most suitable services to the user. Recently, many context aware environments have been proposed, such as smart home, smart meeting room and smart mobile phone. In the thesis, we design and implement a context-aware classroom. This context aware classroom features in automatically identifying several common service types and automatically determining the most suitable type of service for a user based on his/her current contexts—including location, identity, schedule and the readings of the sensors. We integrate RFID, mobile sensors and device controllers in the smart classroom to collect context information and control the environment settings. The smart classroom provides three basic services including PowerPoint service, light service and microphone service. We use a data mining approach to handle the context reasoning problem. We use the decision tree and K-means clustering of SQL 2005 to manage the user contexts and to reason the proper service for a user based on his current context. This implementation is flexible in the sense that when a new service is added or the users’ behavior changes, the decision model can be easily re-trained using the historically data stored in the database.

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