Abstract
Understanding the dynamics of teacher-student relationships is crucial, and emotional exchange plays a pivotal role in this process. This study aims to investigate the predictive mechanisms underlying affective and physiological responses synchrony, specifically focusing on positive emotional convergence and its impact on emotional cohesion during teacher-student interactions. To achieve this, we implemented a novel reading-following paradigm to induce teacher-student interaction within an actual classroom setting. Galvanic skin response (GSR) signals were collected using wrist-worn wearable devices from both teachers and students during class. Following each session, teachers and students individually completed questionnaires to evaluate the quality of their interaction and the cohesion between them. Results indicate that the reading-following paradigm facilitated creative emotional convergence between teachers and students. Moreover, a positive association was observed between teacher-student interaction and teacher-student cohesion, mediated by affective responses synchrony and physiological coupling between teachers and students. Additionally, the influence of teacher-student interaction on affective responses synchrony was moderated by physiological predictability. The implications of these findings for future research and their potential application in the classroom setting are discussed.
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References
Angelidis, A., Hagenaars, M., van Song, D., van der Does, W., & Putman, P. (2018). Do not look away! Spontaneous frontal EEG theta/beta ratio as a marker for cognitive control over attention to mild and high threat. International Journal of Behavioral Medicine, 25, 66. <Go to ISI>://WOS:000446532700210
Baik, S. Y., Kim, C., Kim, S., Yook, D. W., Kim, H. S., Chang, H., & Lee, S. H. (2019). The moderating effect of heart rate variability on the relationship between alpha asymmetry and depressive symptoms. Heliyon, 5(3), e01290.
Barsade, S. G. (2002). The ripple effect: Emotional contagion and its influence on group behavior. Administrative Science Quarterly, 47(4), 644–675.
Bevilacqua, D., Davidesco, I., Wan, L., Chaloner, K., Rowland, J., Ding, M., Poeppel, D., & Dikker, S. (2019). Brain-to-brain synchrony and learning outcomes vary by student–teacher dynamics: Evidence from a real-world classroom electroencephalography study. Journal of Cognitive Neuroscience, 31(3), 401–411.
Blankenship, T. L., Broomell, A. P., & Bell, M. A. (2018). Semantic future thinking and executive functions at age 4: The moderating role of frontal brain electrical activity. Developmental Psychobiology, 60(5), 608–614.
Bracken, B. K., Alexander, V., Zak, P. J., Romero, V., & Barraza, J. A. (2014). Physiological synchronization is associated with narrative emotionality and subsequent behavioral response. In Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems: 8th International Conference, AC 2014, Held as Part of HCI International 2014, Heraklion, Crete, Greece, June 22–27, 2014. Proceedings 8 (pp. 3–13).
Bruder, M., Dosmukhambetova, D., Nerb, J., & Manstead, A. S. (2012). Emotional signals in nonverbal interaction: Dyadic facilitation and convergence in expressions, appraisals, and feelings. Cognition & Emotion, 26(3), 480–502.
Cook, E. C., Blair, B. L., & Buehler, C. (2018). Individual differences in adolescents’ emotional reactivity across relationship contexts. Journal of Youth and Adolescence, 47(2), 290–305.
Davis, K., & Nicaise, V. (2011). Teacher-student interactions: Four case studies of gender in physical education. The Journal of Classroom Interaction, 46, 11–23.
Dikker, S., Wan, L., Davidesco, I., Kaggen, L., Oostrik, M., McClintock, J., Rowland, J., Michalareas, G., Van Bavel, J. J., & Ding, M. (2017). Brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom. Current Biology, 27(9), 1375–1380.
Fischer, A. H., & Manstead, A. S. (2008). Social functions of emotion. Handbook of Emotions, 3, 456–468.
Graesser, A. C. (2020). Emotions are the experiential glue of learning environments in the 21st century. Learning and Instruction, 70, Article 101212. https://doi.org/10.1016/j.learninstruc.2019.05.009
Haataja, E., Salonen, V., Laine, A., Toivanen, M., & Hannula, M. S. (2021). The relation between teacher-student eye contact and teachers’ interpersonal behavior during group work: A multiple-person gaze-tracking case study in secondary mathematics education. Educational Psychology Review, 33(1), 51–67.
Hayes, A. F., & Scharkow, M. (2013). The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter? Psychological Science, 24(10), 1918–1927.
Helm, J. L., Sbarra, D. A., & Ferrer, E. (2014). Coregulation of respiratory sinus arrhythmia in adult romantic partners. Emotion, 14(3), 522.
Järvenoja, H., & Järvelä, S. (2009). Emotion control in collaborative learning situations: Do students regulate emotions evoked by social challenges. British Journal of Educational Psychology, 79(3), 463–481.
Keller, P. E., Novembre, G., & Hove, M. J. (2014). Rhythm in joint action: Psychological and neurophysiological mechanisms for real-time interpersonal coordination. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1658), 20130394.
Knight, A. P., & Eisenkraft, N. (2015). Positive is usually good, negative is not always bad: The effects of group affect on social integration and task performance. Journal of Applied Psychology, 100(4), 1214.
Krzeczkowski, J. E., Van Lieshout, R. J., & Schmidt, L. A. (2022). Transacting brains: Testing an actor–partner model of frontal EEG activity in mother–infant dyads. Development and Psychopathology, 34(3), 969–980.
Lee, T. H., Miernicki, M. E., & Telzer, E. H. (2017). Families that fire together smile together: Resting state connectome similarity and daily emotional synchrony in parent-child dyads. Neuroimage, 152, 31–37.
Liu, Y., Wang, T., Wang, K., & Zhang, Y. (2020). Predicting collaborative learning quality through physiological synchrony recorded by wearable biosensors. Cold Spring Harbor Laboratory.
Liu, Y., Wang, T., Wang, K., & Zhang, Y. (2021). Collaborative learning quality classification through physiological synchrony recorded by wearable biosensors. Frontiers in Psychology, 12, 674369.
Lunkenheimer, E., Tiberio, S. S., Buss, K. A., Lucas-Thompson, R. G., Boker, S. M., & Timpe, Z. C. (2015). Coregulation of respiratory sinus arrhythmia between parents and preschoolers: Differences by children’s externalizing problems. Developmental Psychobiology, 57(8), 994–1003.
Mainhard, M. T., Brekelmans, M., & Wubbels, T. (2011). Coercive and supportive teacher behaviour: Within-and across-lesson associations with the classroom social climate. Learning and Instruction, 21(3), 345–354.
Maman, L., Ceccaldi, E., Lehmann-Willenbrock, N., Likforman-Sulem, L., Chetouani, M., Volpe, G., & Varni, G. (2020). Game-on: A multimodal dataset for cohesion and group analysis. IEEE Access, 8, 124185–124203.
Mathersul, D., Williams, L. M., Hopkinson, P. J., & Kemp, A. H. (2008). Investigating models of affect: Relationships among EEG alpha asymmetry, depression, and anxiety. Emotion, 8(4), 560–572. https://doi.org/10.1037/a0012811
Niedenthal, P. M., & Brauer, M. (2012). Social functionality of human emotion. Annual Review of Psychology, 63, 259–285. https://doi.org/10.1146/annurev.psych.121208.131605
Nook, E. C., Nardini, C., Zacharek, S. J., Hommel, G., Spencer, H., Martino, A., Morra, A., Flores, S., Anderson, T., & Marin, C. E. (2023). Affective language spreads between anxious children and their mothers during a challenging puzzle task. Emotion, 23, 1513–1521.
Pennings, H. J., Brekelmans, M., Sadler, P., Claessens, L. C., van der Want, A. C., & van Tartwijk, J. (2018). Interpersonal adaptation in teacher-student interaction. Learning and Instruction, 55, 41–57.
Pérez, A., Carreiras, M., & Duñabeitia, J. A. (2017). Brain-to-brain entrainment: EEG interbrain synchronization while speaking and listening. Scientific Reports, 7(1), 4190.
Pinti, P., Devoto, A., Greenhalgh, I., Tachtsidis, I., Burgess, P. W., & de Hamilton, C., A. F (2021). The role of anterior prefrontal cortex (area 10) in face-to-face deception measured with fNIRS. Social Cognitive and Affective Neuroscience, 16(1–2), 129–142.
Posada-Quintero, H. F., & Chon, K. H. (2020). Innovations in electrodermal activity data collection and signal processing: A systematic review. Sensors (Basel, Switzerland), 20(2), 479.
Rains, S. A., Pavlich, C. A., Tsetsi, E., Ashtaputre, A., Lutovsky, B. R., Akers, C., & Nemcova, K. (2023). The implications of communication technologies for supportive conversations: A dynamic dyadic systems approach examining turn transitions. Communication Methods and Measures, 1–14.
Rathmann, K., Herke, M. G., Hurrelmann, K., & Richter, M. (2018). Perceived class climate and school-aged children’s life satisfaction: The role of the learning environment in classrooms. PloS One, 13(2), Article e0189335. https://doi.org/10.1371/journal.pone.0189335
Rodrigues, J., Muller, M., Muhlberger, A., & Hewig, J. (2018). Mind the movement: Frontal asymmetry stands for behavioral motivation, bilateral frontal activation for behavior. Psychophysiology, 55(1), Article e12908. https://doi.org/10.1111/psyp.12908
Romero-Martínez, Á., Rodríguez, A., & Moya-Albiol, L. (2019). Is it easy to synchronize our minds when we are forced to cooperate? Brain Sciences, 9(10), 282.
Spoor, J. R., & Kelly, J. R. (2004). The evolutionary significance of affect in groups: Communication and group bonding. Group Processes & Intergroup Relations, 7(4), 398–412.
Swingler, M. M., Perry, N. B., Calkins, S. D., & Bell, M. A. (2014). Maternal sensitivity and infant response to frustration: The moderating role of EEG asymmetry. Infant Behavior and Development, 37(4), 523–535.
Thorson, K. R., West, T. V., & Mendes, W. B. (2018). Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies. Psychological Methods, 23(4), 595.
Vanutelli, M. E., Gatti, L., Angioletti, L., & Balconi, M. (2017). Affective synchrony and autonomic coupling during cooperation: A hyperscanning study. BioMed Research International, 2017, 3104564.
Wlodarczyk, A., Zumeta, L., Pizarro, J. J., Bouchat, P., Hatibovic, F., Basabe, N., & Rimé, B. (2020). Perceived emotional synchrony in collective gatherings: Validation of a short scale and proposition of an integrative measure. Frontiers in Psychology, 11, 1721.
Zhang, X. (2006). A review of studies on children’s early teacher-child relationships. Psychological Development and Education, 22, 120–124.
Zhang, H., Sun, C., Liu, X., Gong, S., Yu, Q., & Zhou, Z. (2020). Boys benefit more from teacher support: Effects of perceived teacher support on primary students’ creative thinking. Thinking Skills and Creativity, 37, 100680. https://doi.org/10.1016/j.tsc.2020.100680
Zhang, Y., Zhao, G., Shu, Y., Ge, Y., Zhang, D., Liu, Y. J., & Sun, X. (2021). CPED: A Chinese positive emotion database for emotion elicitation and analysis. IEEE Transactions on Affective Computing, 14(2), 1417–1430. https://doi.org/10.1109/TAFFC.2021.3088523
Acknowledgements
We are grateful to the students who participated in our study and experimenters who assisted in data collection. We also thank reviewers and editors for their precious comments and suggestions.
Funding
This work was supported by the National Natural Science Foundation of China (Grant No. U1736220 and No. 31771226).
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Qi, H., Zhang, Y., Dong, K. et al. How dyadic emotional transmission shapes teacher-student relationship: effects of emotional convergence on cohesion in teacher-student interaction. Curr Psychol (2024). https://doi.org/10.1007/s12144-024-06089-z
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DOI: https://doi.org/10.1007/s12144-024-06089-z