Cited by 568Teacher Education and Leadership StudiesSchool Leadership and Teacher PerformanceEducation, Achievement, and Giftedness

Teachers' Sense of Efficacy: An Important Factor in School Improvement

Dembo, Myron H., Gibson, Sherri·1985·The Elementary School Journal

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Crossref · 10.1086/461441

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  • Teachers without a strong sense of self-efficacy may not believe that they can positively impact student academic performance; they are likely to deny responsibility for motivating their students and attribute students' low achievement to their lack of ability or poor background experiences.

    “Therefore, teachers without a strong sense of self-efficacy may not believe that they can positively impact student academic performance; they are likely to deny responsibility for motivating their students and attribute students' low achievement to their lack of ability or poor background experiences-“these kids can't learn” (Dembo & Gibson, 1985, p. 175).”

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Authors
Dembo, M. H., & Gibson, S.
Venue
The Elementary School Journal
Published
1985-11
Volume
86
Issue
2
Pages
173-184
ISSN
  • 0013-5984 (ISSN-L)
  • 1554-8279
OpenAlex
W1978622113
Cited by
568
References
0
Citations by year
2026: 9 · 2025: 10 · 2024: 16 · 2023: 16 · 2022: 17 · 2021: 20 · 2020: 22 · 2019: 18 · 2018: 13 · 2017: 23 · 2016: 29 · 2015: 39 · 2014: 25 · 2013: 42 · 2012: 27
FWCI
8.50
Type
journal article
Language
en
Open access
closed
Locations
The Elementary School Journal (publishedVersion)
Topics
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › School Leadership and Teacher Performance
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
Keywords
teacher self-efficacy, school improvement, primary school teachers, teacher beliefs

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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