基于智慧学习环境下的学习画面情感识别模型

Emotion Recognition Model of Learning Picture Based on Smart Learning Environment

在智慧学习环境下,学习者在学习过程中的情感交互是教育领域的一个重要研究内容,主要通过智能学习终端进行情感识别。学习情感主要包括专注、高兴、常态的积极情绪,走神、悲伤、愤怒的消极情绪,对学习者的学习过程具有影响和调节的作用。因此,本文提出了一种基于智慧学习环境下,构建学习画面情感识别模型。本模型根据学习者在学习中的情绪反馈,自适应改进和推送学习内容,促进学习过程中的积极情绪,促进情感交互率,也可作为辅助评估课程的教学质量和学习资源质量的支撑依据。

In the smart learning environment,the emotional interaction of learners in the learning process is an important research content in the field of education,and emotion recognition is mainly performed through smart learning terminals.Learning emotions mainly include positive emotions such as concentration,happiness,and normalcy,and negative emotions such as distraction,sad⁃ness,and anger,which have an influence and regulation effect on the learning process of learners.Therefore,this paper proposes a smart learning environment to build a model of emotion recognition in learning images.This model adaptively adjusts and pushes learning content according to the emotional state of learners,promotes positive emotions in the learning process and increases the emotional interaction rate.It can also be used as a supporting basis for assisting in evaluating the quality of teaching and learning resources of courses.