Hall Sophie S, McGill Ross Morrison, Puttick Steven, Maltby John
College of Life Sciences, University of Leicester, UK.
University of Nottingham, UK.
Br J Educ Psychol. 2022 Sep;92(3):1215-1238. doi: 10.1111/bjep.12496. Epub 2022 Mar 19.
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.
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.
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).
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.
在生态模型中考察科学、技术、工程和数学(STEM)学习中的复原力,识别与有复原力和无复原力学习相关的心理过程,以建立一个促进STEM复原力的框架。
从一所中学的学生样本(n = 4936)中,识别出1577名认为他们的STEM课程困难的学生。对学生的三种复原力能力进行评估,并要求他们就自己对课程的反应写一篇评论。
因素分析表明,STEM学习中的复原力可以置于生态系统模型中,学生的复原力由三种能力组成;快速轻松恢复的能力(恢复力)、专注于目标的能力(生态力)和自然调整的能力(适应能力)。使用语言分析程序,我们确定了学生评论中与七个心理过程相关的词汇的普遍性。更强的恢复能力与负面情绪过程呈负相关。为了提高这种关系的特异性,我们识别出高复原力和低复原力的学生,并比较他们的评论。低复原力的学生使用了明显更多表示愤怒的词汇。定性分析揭示了愤怒的人际来源(因缺乏支持而对教师发怒)和愤怒的个人来源(包括反复思考、表达和控制以及寻求分心)。
愤怒是区分那些难以从困难的STEM课程中恢复过来的学生的关键过程。生态系统模型可能有助于理解STEM复原力并制定干预途径。对教师教育的启示包括学生对教师支持的看法的重要性。