摘要
针对传统方法对教学资源的共享往往存在资源分类不明确、共享效率低等问题,提出了基于VEM(Variational Expectation Maximization)框架的教学资源共享平台设计方案。平台由对协同工作完成对教学资源的预处理、特征提取、分类以及共享4个层次组成。在预处理阶段,删除冗余信息,减少系统存储空间;特征提取模块运用语义邻接矩阵,计算资源中词汇的特征度值,挑选出特征度值较大的词汇;在分类模块,运用上下位关系构建分类框架,计算每个词对之间的关系强度,根据强度的不同实现分类;对完成分类的资源编号分别存储,教师可直接查找完成资源共享。实验结果表明,该教学资源共享平台的分类准确性为98.6%,资源共享平均用时为1.15 s,表明设计的教学资源共享平台的准确性和效率较高。
Traditional methods for the sharing of teaching resources often have problems such as unclear resource classification and low sharing efficiency. For this reason, a design scheme of teaching resource sharing platform based on the VEM(Variational Expectation Maximization) framework is proposed. The platform consists of 4 levels, which are the preprocessing, feature extraction, classification and sharing of teaching resources for collaborative work. In the preprocessing stage, redundant information is deleted to reduce the system storage space. The feature extraction module uses the semantic adjacency matrix to calculate the feature value of the vocabulary in the resource, and selects the vocabulary with a larger feature value. In the classification module, the upper and lower relationship is used to construct a classification framework, calculate the strength of the relationship between each word pair, and realize the classification according to the different strength. The resource number of the completed classification is stored separately, and the teacher can directly find and complete the resource sharing. The experimental results show that the classification accuracy of the teaching resource sharing platform is 98.6%, and the average time for resource sharing is 1.15 s, proving that the designed teaching resource sharing platform is accurate and efficient.
作者
唐小娟
TANG Xiaojuan(School of Information Science and Engineering,Changsha Normal University,Changsha 410100,China)
出处
《吉林大学学报（信息科学版）》
CAS
2022年第2期288-294,共7页
Journal of Jilin University（Information Science Edition）
基金
湖南省教育厅科学研究基金资助项目(19C0138)。
关键词
VEM框架
教学资源共享
资源预处理
上下位关系
共享效率
variational expectation maximization(VEM)framework
sharing of teaching resources
resource preprocessing
the relationship between superior and subordinate
sharing efficiency
