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AI 情绪识别在幼小教育的创新应用趋势与优化策略

The innovative application trend and optimization strategy of AI emotion recognition in early childhood education

郑婷, 陆丽伟, 赵淑桢, 陈翠

Psychology of China / 2026,8(3): 418-425 / 2026-04-07 22 19

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• Information:

  苏州科技大学，苏州

• Keywords:
  AI emotion recognition; Early childhood education; Multimodal recognition; Education ethics
  AI情绪识别; 幼小教育; 多模态识别; 教育伦理
• Abstract: Emotion is a key factor affecting children ‘s learning motivation, classroom participation and social development. With the acceleration of education digitization, the application of AI emotion recognition technology in kindergarten and primary school classrooms has gradually attracted attention. However, due to the instability of children ‘s emotional expression, complex classroom environment, model deviation and privacy risk, technology still faces obvious limitations in the process of landing. This paper systematically combs the development trend of AI emotion recognition from single mode to multi-mode, summarizes its main application methods in classroom observation, learning support and special children ‘s education, and deeply analyzes the ethical issues such as recognition error, emotion tagging and data security. On this basis, the technology optimization, scene adaptation and governance strategies for early childhood education are proposed. It aims to provide theoretical basis and practical reference for the more scientific and prudent use of emotion recognition technology in the process of promoting education digitization in the field of early childhood education in China. 情绪是影响幼儿学习动机、课堂参与和社会性发展的关键因素。随着教育数字化进程加速，AI情绪识别技术在幼儿园和小学课堂中的应用逐渐受到关注。但由于儿童情绪表达不稳定、课堂环境复杂、模型偏差与隐私风险突出，技术在落地过程中仍面临明显限制。本文系统梳理AI情绪识别从单模态到多模态的发展趋势，结合幼小教育场景，总结其在课堂观察、学习支持与特殊儿童教育中的主要应用方式，并深入分析识别误差、情绪标签化、数据安全等伦理问题。在此基础上，提出面向幼小教育的技术优化、场景适配与治理策略。旨在为我国幼小教育领域在推进教育数字化过程中更科学、审慎地使用情绪识别技术提供理论依据与实践参考。
• DOI: 10.35534/pc.0803065 (registering DOI)
• Cite: 郑婷, 陆丽伟, 赵淑桢, 陈翠. (2026). AI情绪识别在幼小教育的创新应用趋势与优化策略. 中国心理学前沿, 8 (3), 418-425.