Effects of a Co-Regulation Model for MR Teacher Training: HRV and Self-Compassion as Indicators of Emotion Regulation
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909503585255424 |
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| author | Chehayeb, Lara Olszynska, Katarzyna Bhuvaneshwara, Chirag Tsovaltzi, Dimitra |
| author_facet | Chehayeb, Lara Olszynska, Katarzyna Bhuvaneshwara, Chirag Tsovaltzi, Dimitra |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_15383 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Effects of a Co-Regulation Model for MR Teacher Training: HRV and Self-Compassion as Indicators of Emotion Regulation Chehayeb, Lara Olszynska, Katarzyna Bhuvaneshwara, Chirag Tsovaltzi, Dimitra Human-Computer Interaction 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. |
| title | Effects of a Co-Regulation Model for MR Teacher Training: HRV and Self-Compassion as Indicators of Emotion Regulation |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.15383 |