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Effects of a Co-Regulation Model for MR Teacher Training: HRV and Self-Compassion as Indicators of Emotion Regulation

2025/02/21 by Lara Chehayeb, Chehayeb, Lara, Katarzyna Olszynska +5
Medicine · Psychology · #Child and Adolescent Psychosocial and Emotional Development #FOS: Computer and information sciences #Heart Rate Variability and Autonomic Control #Human-Computer Interaction (cs.HC) #Mindfulness and Compassion Interventions

paper · pdf · doi:10.48550/arxiv.2502.15383

openalex publication_date 2025/02/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Teachers play a pivotal role in fostering students' emotional and cognitive development. Teachers need to regulate their emotions in order to co-regulate students. Here using a unique mixed method approach, we investigate the relationship between self-compassion, treating oneself with compassion, and physiological stress responses among pre-service teachers. Heart rate variability (HRV) was measured during a mixed reality (MR) teacher training scenario environment designed to simulate socio-emotional conflict in class. Recorded interviews that followed the MR-training were analyzed for observed self-compassion. Findings suggest that less emotional stress during the MR-training correlates with higher levels of self-compassion during the interview. MR-trainings and self-compassion may be valuable tools to train teacher emotion regulation and well-being.

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