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Research Articles

What pedagogy feels like: Teachers’ development of pedagogical empathy in rehearsal debriefs

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Pages 622-662 | Received 24 Jun 2021, Accepted 31 Aug 2023, Published online: 22 Nov 2023
 

ABSTRACT

Background

Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students’ emotions. In this study, we forward a theory that the development of pedagogical empathy, or the capacity to understand the implications of student emotions and use emotional data to make adaptive pedagogical decisions, is a component of adaptive expertise.

Methods

Using qualitative methods to analyze the discourse in eight debrief discussions among secondary mathematics teachers following rehearsals of practice, we examine how teachers used this opportunity to generate and use emotional data in support of the development of pedagogical empathy.

Findings

We found that rehearsal debriefs provided an opportunity to make emotional data available to participants in three ways and that teachers then used that emotional data in six ways across the debriefs. Student emotions, both from teachers in the position of students and in consideration of hypothetical students in the classroom, were pervasive in the debrief discussions.

Contribution

After considering the ways in which emotional data were made visible and used, we return to theory to consider how these highlight the opportunities rehearsals offer to develop pedagogical empathy and discuss implications for teacher education and future research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The most frequent emotions NRTs expressed were anxiety (16% of emotive interpretations), security (14%), appreciation (14%), excitement (12%), and confusion (11%). Other emotions, in order of frequency, included pleasure, awkwardness, relief, recognition, hope, frustration, entrancement, curiosity, guilt, disappointment, and anger (Munson & Baldinger, Citation2019). We used Cowen and Keltner’s (Citation2017) work on emotional language to categorize the emotions identified in the data.

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