移动协作学习的上下文感知模型研究  

A CONTEXT-AWARE MODEL FOR MOBILE COLLABORATIVE LEARNING

作　　者：张晓健 廖开际[2] 

机构地区：[1]广东省青年干部学院,广东广州510507 [2]华南理工大学工商管理学院,广东广州510640

出　　处：《计算机应用与软件》2010年第12期33-36,共4页Computer Applications and Software

基　　金：国家自然科学基金(70871043);广东省自然科学基金(07300831)

摘　　要：根据移动协作学习的特点和个性化需求,提出了一种移动协作学习的上下文感知计算模型(M-CCLM),包括上下文信息获取、表达、优化和推理。基于上下文逻辑给出了上下文融合的优化算法和决策行动的贝叶斯推理算法。通过实例说明了模型的应用方法。In a context-aware mobile learning environment, learning systems can detect students’ learning behaviors and status in the real-world with the help of context-aware （sensor） technology; that is, students can be guided to observe or operate real-world objects with personalized support from the digital world. In this study, a mobile collaborative learning models based on context-aware computing was proposed and an optimization algorithm of context Information integration based on context-logic and a decision-making algorithm based on Bayesian inference was put forward. Experimental results from the learning activities are also given to depict the use of this approach.

关 键 词：上下文逻辑 上下文感知模型 移动协作学习 贝叶斯推理 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]