The Design and Implementation of An Adaptive Smart Classroom

• Main Authors: CHUN-HUNG CHOU, 周俊宏
• Other Authors: Yung-Ho Leu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/84494602773211332261

碩士 === 國立臺灣科技大學 === 資訊管理系 === 96 === 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 sensors. We integrate RFID, mobile sensors and device controllers in a smart classroom to collect context information and control the environment settings. We use a data mining approach to handle the context reasoning problem. The decision trees, Naïve Bayes classifier of SQL 2005 are imbedded in the smart classroom system and are used to reason about the proper service for a user based on his/her current context information. The accuracy of the decision trees and the Naïve Bayes classifier in predicting user contexts are compared based on an experiment.