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Journal of Education and Training Studies
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Does Emotional Self-efficacy Predict Teachers' Self-efficacy and Empathy?

Authors: Marina Goroshit; Meirav Hen;

Does Emotional Self-efficacy Predict Teachers' Self-efficacy and Empathy?

Abstract

Research has shown that teachers` self-efficacy and empathy are two of the most important variables consistently related to outcomes of positive teaching and student learning. Emotional self-efficacy refers to peoples' judgment regarding their own capacity to process emotional information accurately and effectively. It is considered a powerful variable affecting the emotional state of individuals and their performance. The main objective of the present study was to examine to what extent emotional self-efficacy predicts teachers` self-efficacy and empathy in teachers. Findings indicated that emotional self-efficacy predicts both empathy and teachers` self-efficacy. These results contribute to the growing body of literature maintaining that in order to practice and succeed in the complex and demanding school milieu, teachers must develop not only their teaching skills, but the emotional capacity required to enhance their resilience, their survival and their ability to innovate.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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