School of Foreign Languages Studies, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
Occup Ther Int. 2022 Jun 29;2022:2593338. doi: 10.1155/2022/2593338. eCollection 2022.
The construction direction of Japanese teaching evaluation system based on hybrid teaching mode is to give full feedback to teaching process, diversify evaluation subjects and evaluation methods, and obtain comprehensive and objective evaluation results. Compared with most similar studies, more EEG data of teachers' emotional stress relief and healthy people in Japanese teaching process were collected, and a large number of features were extracted. An experiment of teachers' emotional stress relief recognition in Japanese teaching process based on EEG signal was designed. The feature selection algorithm was used to screen the EEG feature combinations of teachers' emotional stress relief and healthy subjects, and the classification experiment was carried out to verify the difference. Finally, this paper uses the feature selection algorithm of tree model and the random forest model classifier to establish the recognition model of teachers' emotional stress discharge in Japanese teaching process based on EEG signals and achieves the effect of more accurate recognition of teachers' emotional stress discharge in Japanese teaching process. First, the connotation, value, and influencing factors of teachers' emotion management ability are logically integrated and systematically expounded. Second, based on emotional psychology, emotional intelligence theory, psychotherapy theory, and management theory, teachers' emotional management ability is constructed according to the three-dimensional structure theory of intelligence and information processing theory. It is constructed from three dimensions: object dimension (teachers themselves, students, and students), content dimension (positive and negative emotions), and operational dimension (emotional perception, emotional understanding, emotional expression, and emotional regulation).
基于混合式教学模式的日语教学评价体系构建方向是充分反馈教学过程、多元化评价主体和评价方法，获得全面、客观的评价结果。与大多数类似的研究相比，本研究在日语教学过程中收集了更多教师情绪缓解和健康人的 EEG 数据，并提取了大量特征。设计了基于 EEG 信号的日语教学过程中教师情绪缓解识别的实验，采用特征选择算法筛选教师情绪缓解和健康受试者的 EEG 特征组合，并进行分类实验验证差异。最后，本文采用树模型的特征选择算法和随机森林模型分类器，建立基于 EEG 信号的日语教学过程中教师情绪释放的识别模型，实现了日语教学过程中教师情绪释放更准确的识别效果。首先，从逻辑上对教师情绪管理能力的内涵、价值和影响因素进行了整合和系统阐述。其次，基于情绪心理学、情绪智力理论、心理治疗理论和管理理论，根据智力的三维结构理论和信息加工理论，构建了教师情绪管理能力的三维结构模型，从对象维度（教师自身、学生和学生）、内容维度（积极情绪和消极情绪）和操作维度（情绪感知、情绪理解、情绪表达和情绪调节）三个维度进行构建。
