面向情感计算的智慧教室系统构建以及优化

黄丽娟; 程正一; 杨紫岩

doi:10.11959/j.issn.2096-3750.2024.00398

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面向情感计算的智慧教室系统构建以及优化

理论与技术 | 更新时间：2024-08-16

- 面向情感计算的智慧教室系统构建以及优化
- Construction and optimization of a smart classroom system for emotional computing
- 物联网学报 2024年8卷第2期页码：116-126
- 作者机构：
  
  1.四川天府新区麓湖小学,四川成都 610218
  2.电子科技大学,四川成都 611731
  3.东北师范大学,吉林长春 130117
- 作者简介：
  
  [ "黄丽娟（1983‒ ），女，博士，四川天府新区麓湖小学校长，主要研究方向为5G智慧校园、深度知识追踪、学科综合素质测评。" ]
  [ "程正一（2002‒ ），男，电子科技大学在读，主要研究方向为智慧教育、深度知识追踪。" ]
  [ "杨紫岩（1996‒ ），女，东北师范大学信息科学与技术学院博士生，主要研究方向为移动边缘计算、情感计算、移动学习、智慧学习、教育技术等。" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2024.00398
  中图分类号：
- 纸质出版日期：2024-06-10，
  
  收稿日期：2024-03-26，
  
  修回日期：2024-06-15，
- 稿件说明：
移动端阅览
黄丽娟,程正一,杨紫岩.面向情感计算的智慧教室系统构建以及优化[J].物联网学报,2024,08(02):116-126.

HUANG Lijuan,CHENG Zhengyi,YANG Ziyan.Construction and optimization of a smart classroom system for emotional computing[J].Chinese Journal on Internet of Things,2024,08(02):116-126.
黄丽娟,程正一,杨紫岩.面向情感计算的智慧教室系统构建以及优化[J].物联网学报,2024,08(02):116-126. DOI： 10.11959/j.issn.2096-3750.2024.00398.

HUANG Lijuan,CHENG Zhengyi,YANG Ziyan.Construction and optimization of a smart classroom system for emotional computing[J].Chinese Journal on Internet of Things,2024,08(02):116-126. DOI： 10.11959/j.issn.2096-3750.2024.00398.

摘要

在新一代信息技术与智慧教育深度融合的时代背景下，智慧教室系统的研究与应用受到广泛的关注。然而，当前智慧教室系统的应用还处于起步阶段，其缺乏对学生的实时性反馈及实时正向干预功能。针对此问题，首先通过构建基于情感学习的智慧教室系统，引入边缘计算来提高课堂实时性和智能化程度，以实现学生学习期间情感状态的实时性反馈。其次，为提升智慧教室系统的性能，利用凸优化相关理论实现系统资源的优化分配。最后，通过验证，智慧教室系统的多资源联合优化方法可以有效降低设备数据采集及处理的最大时延，能极大地提高智慧教室系统的情感计算实时性能；系统不盲目追求平均时延最小化，有效避免出现单一用户因实时性差而体验不佳的情况。该系统和算法成果对未来智慧教室的建设具有借鉴和参考意义。

Abstract

In the context of the deep integration of new generation information technology and smart education

the research and application of smart classroom systems have received widespread attention. However

the current application of smart classroom systems is still in its early stages

lacking real-time feedback and real-time positive intervention functions for students. To solve this problem

a smart classroom system based on emotional learning was built

and edge computing was introduced to improve the real-time and intelligent level of the classroom

so as to achieve real-time feedback of students' emotional state during learning. Secondly

to improve the performance of the smart classroom system

convex optimization theory was utilized to optimize the allocation of system resources. Finally

through verification

the multiple resources joint optimization method of the smart classroom system can effectively reduce the maximum delay of device data collection and processing

greatly improve the real-time performance of emotional computing in the smart classroom system

and avoid blindly pursuing the minimum average delay

effectively avoiding the situation where a single user experienced poorly due to poor real-time performance. Overall

the system and algorithm achievements have reference and significance for the construction of future smart classrooms.

关键词

情感计算智慧教室系统边缘计算多资源联合优化凸优化

Keywords

emotional computingsmart classroom systemedge computingmultiple resources joint optimizationconvex optimization

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