[1]张祥裕,刘东峰,李欣容.基于贝叶斯网络的虚拟学习模块[J].计算机技术与发展,2020,30(08):174-177.[doi:10. 3969 / j. issn. 1673-629X. 2020. 08. 030]
　ZHANG Xiang-yu,LIU Dong-feng,LI Xin-rong.Virtual Learning Module Based on Bayesian Network[J].,2020,30(08):174-177.[doi:10. 3969 / j. issn. 1673-629X. 2020. 08. 030]
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基于贝叶斯网络的虚拟学习模块()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年08期
页码:
174-177
栏目:
应用开发研究
出版日期:
2020-08-10

文章信息/Info

Title:
Virtual Learning Module Based on Bayesian Network
文章编号:
1673-629X(2020)08-0174-04
作者:
张祥裕; 刘东峰; 李欣容
广东工业大学 信息工程学院,广东 广州 510006
Author(s):
ZHANG Xiang-yu; LIU Dong-feng; LI Xin-rong
School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China
关键词:
虚拟仿真; 自主学习; 知识网; 贝叶斯网络; 智能
Keywords:
virtual simulation; autonomous learning; knowledge network; Bayesian network; intelligence
分类号:
TP391. 9
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 08. 030
摘要:
目前的三维虚拟仿真研究都集中于引入 AR、VR 技术使仿真更加沉浸、体验更好上, 但对于在进行仿真实验过程中学生能够自主学习并在学习后考察学生的学习情况的研究还相对欠缺。 基于这个原因,该研究利用贝叶斯网络设计了智能学习模块。 根据学生自主学习的情况,动态更新对应学生的贝叶斯网络模块。 学生在学习实验原理后,系统根据实验文档和已有的贝叶斯网络模块给出有针对性的习题来考察学生的学习情况,利用贝叶斯网络构建的知识网引导学生巩固对仿真实验的原理学习。 基于贝叶斯网理论,把领域知识按知识项进行划分,然后在这些知识项之间建立依赖关系以确定贝叶斯网络的因果推理关系。 这种方式在学习系统中起着重要的作用,为学生提供个性化的学习帮助,使学习材料适应学生的能力方面发挥了一定的作用。
Abstract:
At present, the research of three-dimensional virtual simulation focuses on introducing AR or VR technology to make simulation more immersed and experience better. However,the research on students’ autonomous learning in the process of simulation experiment and inspecting students’learning situation after learning is still insufficient. Therefore, we design an intelligent learning module based on Bayesian network. According to the situation of students’ autonomous learning,the corresponding Bayesian network module is updated dynamically. After learning the principle of experiment for students, the system inspects the students’ learning situation according to the experimental documents and the existing Bayesian network module. The knowledge network constructed by Bayesian network is used to guide the students to consolidate the learning of the principle of simulation experiment. Based on Bayesian network theory,domain knowledge is divided into knowledge items,and then the dependency relationship between these knowledge items is established to determine the causal reasoning relationship of Bayesian network. This way plays an important role in the learning system,providing individualized learning help for students,and making learning materials adapt to students’ abilities.

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更新日期/Last Update: 2020-08-10