Projects per year
Abstract
Teacher expectations of pupil ability can influence pupil’s educational progression, impacting subsequent streaming and exam level entry. Systematic discrepancies between teacher expectations of pupil achievement may therefore have a lasting detrimental effect on a child’s education and life prospects. Associations between socioeconomic and demographic factors with teacher expectation accuracy have been previously investigated, but it is not known how teacher expectations of achievement may relate to genetic factors. We investigated these relationships using data on nationally standardized exam results at ages 11 and 14 from a UK longitudinal cohort study. We found that teacher expectation of achievement was strongly correlated with educational test scores. Furthermore, the accuracy of teacher expectation was patterned by pupil socioeconomic background but not teacher characteristics. Finally, the accuracy of teacher expectation related to pupil’s genetic liability to education as captured by a polygenic score for educational attainment. Despite correlation with the polygenic score, we found no strong evidence for genomewide SNP heritability in teacher reporting accuracy.
Original language | English |
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Article number | 7120 |
Pages (from-to) | 1-10 |
Journal | Scientific Reports |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - 3 May 2022 |
Bibliographical note
Funding Information:The Medical Research Council (MRC) and the University of Bristol support the MRC Integrative Epidemiology Unit [MC_UU_00011/1]. The Wellcome Trust support CJB via a PhD [218495/Z/19/Z]. The Economics and Social Research Council (ESRC) support NMD via a Future Research Leaders grant [ES/N000757/1], a Norwegian Research Council Grant number 295989, and TTM via a postdoctoral fellowship [ES/S011021/1]. No funding body has influenced data collection, analysis or its interpretation. This publication is the work of the authors, who serve as the guarantors for the contents of this paper.
Funding Information:
The Medical Research Council (MRC) and the University of Bristol support the MRC Integrative Epidemiology Unit [MC_UU_00011/1]. The Wellcome Trust support CJB via a PhD [218495/Z/19/Z]. The Economics and Social Research Council (ESRC) support NMD via a Future Research Leaders grant [ES/N000757/1], a Norwegian Research Council Grant number 295989, and TTM via a postdoctoral fellowship [ES/S011021/1]. No funding body has influenced data collection, analysis or its interpretation. This publication is the work of the authors, who serve as the guarantors for the contents of this paper.
Publisher Copyright:
© 2022, The Author(s).
Research Groups and Themes
- ALSPAC
- Education
- Assessment
- Inequality
- Discrimination
- Prediction
- Genetic
Keywords
- Cognitive neuroscience
- Genetics
- Risk factors
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- 1 Finished
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Using genetic data to investigate the health impacts of residential and neighbourhood environments in childhood
Morris, T. T. (Principal Investigator)
1/01/19 → 31/12/19
Project: Research