Emotion generation method in online physical education teaching based on data mining of teacher-student interactions.

ABSTRACT: Different from conventional educational paradigms, online education lacks the direct interplay between instructors and learners, particularly in the sphere of virtual physical education. Regrettably, extant research seldom directs its focus toward the intricacies of emotional arousal within the teacher-student course dynamic. The formulation of an emotion generation model exhibits constraints necessitating refinement tailored to distinct educational cohorts, disciplines, and instructional contexts. This study proffers an emotion generation model rooted in data mining of teacher-student course interactions to refine emotional discourse and enhance learning outcomes in the realm of online physical education. This model includes techniques for data preprocessing and augmentation, a multimodal

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC10803077 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature