2018
DOI: 10.1016/j.learninstruc.2017.09.005
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Interpersonal adaptation in teacher-student interaction

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Cited by 110 publications
(140 citation statements)
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“…We explored the existence of linear, quadratic, and cubic trends in the three time series. Table 2 shows that the time series for Agency and Communion for both teachers were best described by the cubic trend model (i.e., linear + quadratic + cubic term), which corresponds to previous findings (Pennings et al, 2017). Halfway the 12 minutes (approximately 300s), there was an increase in Agency for both teachers, reflecting the moment where they took the lead in opening the lesson, and their Agency-level stabilized at about 7.5 minutes (450s).…”
Section: Trendsupporting
confidence: 84%
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“…We explored the existence of linear, quadratic, and cubic trends in the three time series. Table 2 shows that the time series for Agency and Communion for both teachers were best described by the cubic trend model (i.e., linear + quadratic + cubic term), which corresponds to previous findings (Pennings et al, 2017). Halfway the 12 minutes (approximately 300s), there was an increase in Agency for both teachers, reflecting the moment where they took the lead in opening the lesson, and their Agency-level stabilized at about 7.5 minutes (450s).…”
Section: Trendsupporting
confidence: 84%
“…With this method, teachers' Agency and Communion can be coded by external observers as it unfolds over time . Research on these moment-to-moment processes has shown that teachers' interpersonal behavior is not constant but dynamic, and more variability in teacher interpersonal behavior tends to occur in classrooms with poorer social climates (Mainhard, Pennings, Wubbels, & Brekelmans, 2012;Pennings et al, 2017). The CAID method is described in more detail in section 2.3.2.…”
Section: Interpersonal Behavior As a Context For Affective Responsesmentioning
confidence: 99%
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