Pelch Michael
Department of Biology, University of Washington, Box 351800, Seattle, WA 98195-1800 USA.
Int J STEM Educ. 2018;5(1):33. doi: 10.1186/s40594-018-0130-7. Epub 2018 Sep 6.
Understanding student anxiety is an important factor for broadening the gender diversity of STEM majors due to its disproportionate and negative influence on women. To investigate how student anxiety is related to other academic emotions I conducted open-ended interviews with 19 university students and analyzed the data using emergent grounded theory. Emergent grounded theory uses inductive and deductive reasoning to develop a model of cognition and human behavior.
Data analysis led to the development of a detailed theoretical model outlining connections among student anxiety, positive and negative academic emotions, self-regulated learning, and performance. In addition, the data highlight important emotional differences between men and women that have the potential to influence retention in STEM. Specifically, the model elaborates on the concept of a self-deprecating cycle driven by negative academic emotions and suggests that women may be more likely to become trapped in this cycle.
The model incorporates students' emotions as a powerful influence on performance and can be used to inform strategies aimed at changing how university students experience and deal with emotions such as student anxiety.
由于学生焦虑对女性存在不成比例的负面影响,了解学生焦虑是扩大STEM专业性别多样性的一个重要因素。为了调查学生焦虑与其他学术情绪之间的关系,我对19名大学生进行了开放式访谈,并使用扎根理论对数据进行了分析。扎根理论运用归纳和演绎推理来构建认知和人类行为模型。
数据分析得出了一个详细的理论模型,概述了学生焦虑、积极和消极学术情绪、自我调节学习与成绩之间的联系。此外,数据凸显了男性和女性之间重要的情绪差异,这些差异有可能影响在STEM领域的留存率。具体而言,该模型详细阐述了由消极学术情绪驱动的自我贬低循环概念,并表明女性可能更容易陷入这个循环。
该模型将学生情绪纳入对成绩有强大影响的因素,并可用于为旨在改变大学生体验和处理诸如学生焦虑等情绪方式的策略提供信息。