Task-based attentional and default mode connectivity associated with science and math anxiety profiles among university physics students

IF 3.4 Q2 NEUROSCIENCES
Donisha D. Smith , Alan Meca , Katherine L. Bottenhorn , Jessica E. Bartley , Michael C. Riedel , Taylor Salo , Julio A. Peraza , Robert W. Laird , Shannon M. Pruden , Matthew T. Sutherland , Eric Brewe , Angela R. Laird
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引用次数: 0

Abstract

Purpose

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.

Procedures

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.

Findings

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.

Conclusions

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.

基于任务的注意力和默认模式连接与大学物理系学生科学和数学焦虑的关系
注意控制理论(ACT)认为,焦虑升高会增加完成任务所需的认知资源重新分配到处理焦虑相关刺激的可能性。此过程会损害处理效率,并可能导致性能有效性降低。科学、技术、工程和数学(STEM)专业的学生经常会对他们的课程作业感到焦虑,这可能会干扰学习和表现,并对学生的保留率和毕业率产生负面影响。本研究旨在扩展ACT框架,探讨123名物理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。潜在特征分析(LPA)确定了STEM学生中科学和数学焦虑的四种特征,包括代表大多数样本的两种特征(低科学和数学焦虑;59.3%与高数学焦虑;21.9%)和另外两个没有得到很好代表的特征(高科学和数学焦虑;6.5%和高科学焦虑;4.1%)。学生们接受了一个功能磁共振成像(fMRI)测试,在这个过程中,他们完成了两项涉及物理认知的任务:力概念量表(FCI)任务和物理知识(PK)任务。结果:高数学焦虑学生与低科学和数学焦虑学生的FCI或PK任务表现无显著差异。在FCI任务的三个阶段中,我们发现在场景和问题呈现过程中大脑连通性没有显著差异,但在背侧注意网络(DAN)、腹侧注意网络(VAN)和默认模式网络(DMN)内部和之间的答案选择过程中,我们观察到显著差异。此外,我们发现在PK任务中的显著组差异仅限于DAN,包括DAN- van和DAN内连通性。结论这些结果突出了物理概念推理所需的认知过程与物理知识检索所需的认知过程的差异,为焦虑和物理认知相关的潜在脑动力学提供了新的见解,并证实了ACT理论与科学和数学焦虑的相关性。
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来源期刊
CiteScore
6.30
自引率
6.10%
发文量
22
审稿时长
65 days
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