数字教育2024,Vol.10Issue(3) :15-20.

从情绪共情到认知共情——智能教学系统中的人机共情研究反思

From Emotional Empathy to Cognitive Empathy—Reflection on Human-Computer Empathy Research in Intelligent Teaching Systems

张誉月 贾积有
数字教育2024,Vol.10Issue(3) :15-20.

从情绪共情到认知共情——智能教学系统中的人机共情研究反思

From Emotional Empathy to Cognitive Empathy—Reflection on Human-Computer Empathy Research in Intelligent Teaching Systems

张誉月 1贾积有1
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作者信息

  • 1. 北京大学 教育学院,北京 100871
  • 折叠

摘要

为了促进学生在学习过程中保持积极的学习情绪和长久的学习动机,在智能教学系统的设计中要高度重视人机之间的情感交互,即人机共情.本研究定义智能教学系统中的人机共情为:能够识别学习者情感并给予反馈,使得学习者感知到自己的情感被智能教学系统所理解,并保持较强的学习动机.该定义与人类共情的定义类似,既突出了情绪共情,也突出了认知共情.根据相关文献综述,当前关于智能教学系统情感方面的研究大多集中于情感识别方面,对共情策略的研究也仅仅停留在浅层.因此,本研究设计了一套考虑学生不同情感状态的人机共情策略框架,并对未来智能教学系统中的人机共情研究方向提出了建议.

Abstract

In order to promote students to maintain positive learning emotions and long-lasting learning motivation during the learning process,the design of intelligent teaching systems should attach great importance to the emotional interaction between humans and machines,i.e.human-computer empathy.This paper defines human-computer empathy in an intelligent teaching system as the ability to recognize the learner's emotions and give feedback,so that the learner perceives that his or her emotions are understood by the intelligent teaching system and maintains a strong motivation to learn.This definition is similar to the definition of human empathy,highlighting both emotional and cognitive empathy.A review of related literature shows that most of the current research on the emotional aspects of intelligent teaching systems focuses on emotion recognition,and the research on empathy strategies is only at a shallow level.Therefore,this paper designs a set of human-computer empathy strategy frameworks that consider different emotional states of students,and offers suggestions for future research directions for human-computer empathy in intelligent teaching systems.

关键词

智能教学系统/人机共情/共情策略/学习动机

Key words

PIntelligent teaching system/Human-computer empathy/Empathy strategy/Learning motivation

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基金项目

全国教育科学规划2022年国家一般项目(BCA220208)

出版年

2024
数字教育

数字教育

ISSN:
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