[1]柏宏权,韩庆年.机器学习在适应性教学系统中的应用研究[J].南京师范大学学报(工程技术版),2007,07(04):076-79.
　Bai Hongquan,Han Qingnian.Application of Machine Learning in Adaptive Instructional System[J].Journal of Nanjing Normal University(Engineering and Technology),2007,07(04):076-79.
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机器学习在适应性教学系统中的应用研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
07卷
期数:
2007年04期
页码:
076-79
栏目:
出版日期:
2007-12-30

文章信息/Info

Title:
Application of Machine Learning in Adaptive Instructional System
作者:
柏宏权1;  韩庆年2
1. 南京师范大学教育科学学院, 江苏南京210097; 2. 江苏广播电视大学传媒艺术系, 江苏南京210036
Author(s):
Bai Hongquan1; Han Qingnian2
1.School of Educational Science,Nanjing Normal University,Nanjing 210097,China;2.Department of Communication and Art,Jiangsu Radio and TV University,Nanjing 210036,China
关键词:
机器学习;  适应性学习系统;  朴素贝叶斯分类
Keywords:
m ach ine learning;  adap tive instructiona l system;  Naive Bay es c lassifier
分类号:
TP18;TP391.6
摘要:
根据学生的学习行为主动给予适应性的教学材料是适应性教学系统研究关注的焦点问题.当前的适应性学习系统在主动适应学生的学习行为方面存在许多不足.针对适应性教学系统的这个问题,利用机器学习方法根据学生的学习行为,预测学生的学习风格与学习行为,改进适应性学习系统的适应性,提出了在适应性学习系统中使用机器学习的知识表示方法,设计了用朴素的贝叶斯分类器动态观察和预测学生的学习行为的方案.实验结果表明,朴素的贝叶斯分类器对于预测适应性教学系统中学生的学习行为有较高的准确率.
Abstract:
In the adaptive instructiona l system, how to g ive learners adaptiv e learning m ater ia ls is a focus question. There arem any de fic ienciesw ith the current adaptive instructional system’ s automa tica lly adapting student‘ s learn ing sty le and learn ing behav ior. A im ing at this problem o f the adaptive instruc tiona l sy stem, this pape r uses know ledge expression m ethods wh ich fit m ach ine learn ing and design a schem e by using Naiive B ayes C lassifie r to predict lea rner ’ s behav ior, so that these can g et learner’ s prefe rences. The result of exper im ent shows that Naiive Bayes C lass ifier has good accuracy in pred icting learner‘ s behav ior in the adaptive instructiona l system.

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备注/Memo

备注/Memo:
作者简介: 柏宏权( 1975-) , 讲师, 博士, 主要从事适应性学习和适应性学习系统的教学与研究. E-mail:ba ihongquan@ 163. com
更新日期/Last Update: 2013-04-29