Department of Psychology, Florida International University, Miami, FL, United States of America.
Department of Psychology, University of Texas San Antonio, San Antonio, United States of America.
Trends Neurosci Educ. 2023 Sep;32:100204. doi: 10.1016/j.tine.2023.100204. Epub 2023 Jun 2.
Attentional control theory (ACT) posits that elevated anxiety increases the probability of re-allocating cognitive resources needed to complete a task to processing anxiety-related stimuli. This process impairs processing efficiency and can lead to reduced performance effectiveness. Science, technology, engineering, and math (STEM) students frequently experience anxiety about their coursework, which can interfere with learning and performance and negatively impact student retention and graduation rates. The objective of this study was to extend the ACT framework to investigate the neurobiological associations between science and math anxiety and cognitive performance among 123 physics undergraduate students.
Latent profile analysis (LPA) identified four profiles of science and math anxiety among STEM students, including two profiles that represented the majority of the sample (Low Science and Math Anxiety; 59.3% and High Math Anxiety; 21.9%) and two additional profiles that were not well represented (High Science and Math Anxiety; 6.5% and High Science Anxiety; 4.1%). Students underwent a functional magnetic resonance imaging (fMRI) session in which they performed two tasks involving physics cognition: the Force Concept Inventory (FCI) task and the Physics Knowledge (PK) task.
No significant differences were observed in FCI or PK task performance between High Math Anxiety and Low Science and Math Anxiety students. During the three phases of the FCI task, we found no significant brain connectivity differences during scenario and question presentation, yet we observed significant differences during answer selection within and between the dorsal attention network (DAN), ventral attention network (VAN), and default mode network (DMN). Further, we found significant group differences during the PK task were limited to the DAN, including DAN-VAN and within-DAN connectivity.
These results highlight the different cognitive processes required for physics conceptual reasoning compared to physics knowledge retrieval, provide new insight into the underlying brain dynamics associated with anxiety and physics cognition, and confirm the relevance of ACT theory for science and math anxiety.
注意控制理论(ACT)认为,焦虑水平升高会增加重新分配完成任务所需认知资源的概率,以处理与焦虑相关的刺激。这个过程会降低处理效率,并导致绩效下降。科学、技术、工程和数学(STEM)专业的学生经常对课程感到焦虑,这会干扰学习和表现,并对学生的保留率和毕业率产生负面影响。本研究的目的是扩展 ACT 框架,以调查 123 名物理专业本科生的科学和数学焦虑与认知表现之间的神经生物学关联。
潜在剖面分析(LPA)在 STEM 学生中确定了两种科学和数学焦虑的剖面,包括代表大多数样本的两种剖面(低科学和数学焦虑;59.3%和高数学焦虑;21.9%)和两种不太代表性的额外剖面(高科学和数学焦虑;6.5%和高科学焦虑;4.1%)。学生们接受了一项功能磁共振成像(fMRI)测试,在测试中他们进行了两项涉及物理认知的任务:力概念测试(FCI)任务和物理知识(PK)任务。
高数学焦虑和低科学和数学焦虑学生在 FCI 或 PK 任务表现上没有显著差异。在 FCI 任务的三个阶段中,我们在情景和问题呈现期间没有发现大脑连接的显著差异,但在答案选择期间,我们在背侧注意网络(DAN)、腹侧注意网络(VAN)和默认模式网络(DMN)之间观察到了显著差异。此外,我们发现 PK 任务中的显著组间差异仅限于 DAN,包括 DAN-VAN 和 DAN 内的连接。
这些结果突出了物理概念推理与物理知识检索所需的不同认知过程,为焦虑和物理认知相关的大脑动力学提供了新的见解,并证实了 ACT 理论对科学和数学焦虑的相关性。