浅析贝叶斯推理在智能课件中学生模型的应用  

Analysis of Bayesian Reasoning’s Application of Students Model in Intelligent Courseware

作　　者：杨一柳[1] YANG Yi-liu（Teaching and Research Institute of College Computer Bohai University,Jinzhou 121013,China）

机构地区：[1]渤海大学大学计算机教研部,辽宁锦州121013

出　　处：《电脑知识与技术》2012年第1期103-105,共3页Computer Knowledge and Technology

摘　　要：目前许多智能课件中的学生模型存在的问题是缺乏对学习者学习情绪的获取,教学策略的选择缺乏人性化。针对此不足,依据贝叶斯概率推理建立以学习者学习情绪为中心的学生模型,它是一个动态模型,该模型的特点在于能够及时获得学习者对智能课件的操作界面中某元素的感兴趣程度,从而分析并动态生成有利于学习者情绪优化的教学策略,并作实验加以证明。The problems occurred in student models in many current intelligent courseware constitute lack of learning emotional acquisi tion and short of humanity in the process of choosing teaching strategy.For this reason,learning emotional centered student models are es tablished based on Bayesian probability reasoning.This dynamic model is featured by quick acquisition of learners’different degrees of in terest in elements of intelligent courseware interface and prompt analysis.Therefore learner emotional optimization teaching strategy will be generated dynamically.Experiment is undertaken as prove.

关 键 词：贝叶斯 情绪获取 学生模型 智能课件 教学策略 

分 类 号：TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]