A Recommendation Method for Interactive Students in Class Based on Expression Vector Clustering

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更新时间：2024-06-27

- A Recommendation Method for Interactive Students in Class Based on Expression Vector Clustering
- “在教育技术领域，研究者提出了一种基于表情序列向量聚类的课堂交互学生个体推荐方法，通过表情识别和聚类分析，为教师快速选择学生提供支持，显著提升课堂交互效率。”
  
  ”
- Software Guide Vol. 23, Issue 6, Pages: 163-169(2024)
- 作者机构：
  
  1.中国科学技术信息研究所，北京 100038
  2.北京联合大学管理学院，北京 100101
  3.北京工商大学计算机学院，北京100048
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231490
  CLC： TP391
- Published：15 June 2024，
  
  Received：11 May 2023，
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李慧,张运良,陈红倩等.基于表情向量聚类的课堂交互学生推荐方法[J].软件导刊,2024,23(06):163-169.

LI Hui,ZHANG Yunliang,CHEN Hongqian,et al.A Recommendation Method for Interactive Students in Class Based on Expression Vector Clustering[J].Software Guide,2024,23(06):163-169.
李慧,张运良,陈红倩等.基于表情向量聚类的课堂交互学生推荐方法[J].软件导刊,2024,23(06):163-169. DOI： 10.11907/rjdk.231490.

LI Hui,ZHANG Yunliang,CHEN Hongqian,et al.A Recommendation Method for Interactive Students in Class Based on Expression Vector Clustering[J].Software Guide,2024,23(06):163-169. DOI： 10.11907/rjdk.231490.

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