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Article ; Online: Resilience, science, technology, engineering, and mathematics (STEM), and anger: A linguistic inquiry into the psychological processes associated with resilience in secondary school STEM learning.

Hall, Sophie S / McGill, Ross Morrison / Puttick, Steven / Maltby, John

The British journal of educational psychology

2022  Volume 92, Issue 3, Page(s) 1215–1238

Abstract: Aim: To examine resilience in Science, Technology, Engineering, and Mathematics (STEM) learning within an ecological model, identifying the psychological processes associated with resilient, and non-resilient learning to develop a framework for ... ...

Abstract Aim: To examine resilience in Science, Technology, Engineering, and Mathematics (STEM) learning within an ecological model, identifying the psychological processes associated with resilient, and non-resilient learning to develop a framework for promoting STEM resilience.
Sample and method: From a sample of secondary-school students (n = 4,936), 1,577 students who found their STEM lesson difficult were identified. Students were assessed on three resilience capabilities and asked to write a commentary on how they responded to the lesson.
Results: Factor analysis revealed that resilience in STEM learning could be positioned within the ecological systems model, with students' resilience being comprised of three capabilities; the ability to quickly and easily recover (Recovery), remain focussed on goals (Ecological), and naturally adjust (Adaptive capacity). Using a linguistic analysis programme, we identified the prevalence of words within the student commentaries which related to seven psychological processes. Greater ability to recover was negatively related to negative emotional processes. To increase the specificity of this relationship, we identified high and low resilient students and compared their commentaries. Low resilient students used significantly more anger words. Qualitative analysis revealed interpersonal sources of anger (anger at teacher due to lack of support) and intrapersonal sources of anger (including rumination, expression and control, and seeking distraction).
Conclusions: Anger is a key process that distinguishes students who struggle to recover from a difficult STEM lesson. An ecological systems model may prove useful for understanding STEM resilience and developing intervention pathways. Implications for teacher education include the importance of students' perceptions of teacher support.
MeSH term(s) Anger ; Humans ; Linguistics ; Mathematics ; Resilience, Psychological ; Schools ; Technology
Language English
Publishing date 2022-03-19
Publishing country England
Document type Journal Article
ZDB-ID 1501130-6
ISSN 2044-8279 ; 0007-0998
ISSN (online) 2044-8279
ISSN 0007-0998
DOI 10.1111/bjep.12496
Database MEDical Literature Analysis and Retrieval System OnLINE

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