Academic Journal
Collaborative Dynamics and Psychophysiological Variances in Teaching Methods Measured Through Teacher-Students Compliance: A Cross-Classified Multilevel Analysis
| Τίτλος: | Collaborative Dynamics and Psychophysiological Variances in Teaching Methods Measured Through Teacher-Students Compliance: A Cross-Classified Multilevel Analysis |
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| Συγγραφείς: | Gunnars, Fabian |
| Πηγή: | Technology, Knowledge and Learning. 30(2):861-881 |
| Θεματικοί όροι: | Physiological compliance, Wearable devices, Behavioral study, Collaborative learning, Emotion, Instructional practices, Primary education, Quantitative research in education, Teacher–child interactions |
| Περιγραφή: | The present study connects broad educational conceptualizations of teaching method challenges with a detailed and innovative approach to students and teacher collaboration seen in cognitive stress measurements from wearable devices. The approach encompasses variances of collaborative performance in schools through uniquely correlated variables of temporal slopes that highlight the contrast between traditional teaching methods in front and active teaching that emphasize social groups and peer tutoring support. Such contrast may inform collaborative dynamics in education settings, as a stressful environment may serve as a condition that impair student learning and make teachers job more difficult.Each participant was given one wearable for their wrist in naturalistic setting, and a Bayesian cross-classified multilevel model building on posterior distribution between 46 teaching method clusters averaging 832s in length was utilized while accounting for within-level participant stress differences alongside contextual elements. Statistically significant results generally indicate benefits to more traditional teaching methods. Robust estimates were observed where students adapting to the teacher consequently increased their stress levels, emphasizing the importance of letting students actively dictate the mood and rhythm. The presented approach has potential to integrate with further research scaled up for automated contextualized adaptation. |
| Περιγραφή αρχείου: | electronic |
| Σύνδεσμος πρόσβασης: | https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-54133 https://doi.org/10.1007/s10758-025-09832-y |
| Βάση Δεδομένων: | SwePub |
| ISSN: | 22111662 22111670 |
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| DOI: | 10.1007/s10758-025-09832-y |