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Lisa E. Kim

Researcher at University of York

Publications -  45
Citations -  1426

Lisa E. Kim is an academic researcher from University of York. The author has contributed to research in topics: Selection (genetic algorithm) & Teacher education. The author has an hindex of 15, co-authored 43 publications receiving 593 citations. Previous affiliations of Lisa E. Kim include University of Sydney.

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'Like a rug had been pulled from under you': The impact of COVID-19 on teachers in England during the first six weeks of the UK lockdown.

TL;DR: Teachers’ narratives suggest that, after an initial period of uncertainty they settled into the situation and found a way forward, supported by strong relationships, but remain extremely worried about the most vulnerable pupils and want more joined‐up thinking from the government on how to support them effectively.
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A Meta-Analysis of the Effects of Teacher Personality on Teacher Effectiveness and Burnout

TL;DR: Overall, teacher Big Five domains (except for agreeableness) were positively associated with teacher effectiveness, especially for evaluations of teaching, and teacher emotional stability, extraversion, and conscientiousness were negatively associated with burnout.
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Towards an understanding of teacher attrition: A meta-analysis of burnout, job satisfaction, and teachers’ intentions to quit

TL;DR: In this paper, a meta-analytic examination of the relationship between burnout and teachers' intentions to quit, and whether burnout or job satisfaction is more important in predicting teachers' intention to quit was conducted.
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Does Teacher Burnout Affect Students? A Systematic Review of its Association with Academic Achievement and Student-Reported Outcomes

TL;DR: The authors provided the first systematic review of studies examining the consequences of teacher burnout for students, focusing on academic achievement and student-reported outcomes, and provided preliminary evidence that teachers' burnout can affect the students they teach.
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Teacher self-efficacy, instructional quality, and student motivational beliefs: An analysis using multilevel structural equation modeling

TL;DR: In this article, the authors examined the relationship between teacher self-efficacy, instructional quality and student motivational beliefs by using responses from both teachers and students and implementing a sophisticated doubly latent multilevel structural equation modeling approach.