Collaborative research: Neural and cognitive strengthening of conceptual knowledge and reasoning in classroom-based spatial education

合作研究：基于课堂的空间教育中概念知识和推理的神经和认知强化

• 批准号: 1661065
• 负责人: Adam Green
• 金额: $ 82.99万
• 依托单位: Georgetown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661065&HistoricalAwards=false
• 关键词: Collaborative; research; Neural; cognitive; strengthening

Spatial thinking is a powerful driver of success in the STEM classroom and spatial thinking is a major predictor of future STEM success in the workforce. The brain systems that support spatial thinking have been well mapped by neuroscience to allow clear interpretation of new brain-imaging data. Recent advances in tools used to analyze brain activity allow detection of changes in the brains of students that signify accurate learning of STEM concepts. This advance may open a window onto biomarkers of precisely the type of learning that is the goal of educators. Using these new brain analysis methods, this project, a collaboration involving researchers from James Madison University, Georgetown University, Northwestern University, and Dartmouth College, will investigate how changes in the spatial thinking network support learning of specific STEM concepts, and how changes in the classroom can facilitate changes in the brain related to spatial thinking. This cross-disciplinary project brings together experts in geoscience classroom education, spatial cognition, and the neural bases of learning and reasoning. This team is committed to bridging the conspicuous gap between the laboratory and the high school classroom. A confluence of advances in neuroimaging, and the research team's partnership with Virginia school systems make this effort timely and tractable. Identifying possible effects of sex and STEM-related anxieties on conceptual learning in the brain, and testing the effectiveness of spatial education for reducing disparities, this research will point to critical targets for intervention. The project is funded by the EHR Core Research (ECR) program, which supports work that advances the fundamental research literature on STEM learning.This project seeks to understand the neural mechanisms of spatial learning, to advance of spatial education, and to identify factors that affect disparities in STEM learning and participation. The research team will collect functional magnetic resonance imaging (fMRI) and behavioral data from students before and after learning in a high school geoscience course that uses a novel spatially-based curriculum to teach STEM concepts and spatial reasoning. Pilot data on this spatial curriculum have begun to characterize the underlying cognitive and neural mechanisms at work, and show promising effects of transfer to STEM problem solving and core measures of spatial ability. Consistent with methods that have demonstrated success in the lab (but not yet the classroom), the research team will use multivariate neural representations of a group of highly experienced and specially trained teachers as an expert standard to determine neural markers of students? conceptual knowledge and spatial reasoning. Leveraging recent multivariate pattern analysis (MVPA) and machine-learning advances in brain imaging, the team will compare the neural patterns of students before and after learning to test for a trajectory that moves students closer to expert representations. This project will also test, for the first time, whether it is possible to compare different curricula based on how much they strengthen the representation of a concept in the brain. Similarly, this work will test whether spatial education leads students to engage spatial brain resources for STEM-related reasoning, and seek to compare curricula on this basis. The project will test whether neural data add predictive value to traditional testing (e.g. conventional unit tests) for subsequent retention of conceptual knowledge and spatial reasoning. Assessments of STEM-related anxieties (e.g., math and spatial anxiety) and analyses of sex-related effects on cognitive and neural outcomes will newly characterize factors that influence disparities in STEM learning and participation.

空间思维是STEM课堂成功的强大驱动力，空间思维是未来STEM职场成功的主要预测因素。支持空间思维的大脑系统已经被神经科学很好地描绘出来，以便对新的脑成像数据进行清晰的解释。用于分析大脑活动的工具的最新进展可以检测学生大脑中的变化，这些变化表明他们准确地学习了STEM概念。这一进展可能打开了一扇窗，让我们可以精确地了解教育工作者的目标——学习类型的生物标志物。利用这些新的大脑分析方法，该项目将由詹姆斯麦迪逊大学、乔治城大学、西北大学和达特茅斯学院的研究人员合作，研究空间思维网络的变化如何支持特定STEM概念的学习，以及课堂上的变化如何促进与空间思维相关的大脑变化。这个跨学科项目汇集了地球科学课堂教育、空间认知以及学习和推理的神经基础方面的专家。这个团队致力于弥合实验室和高中教室之间明显的差距。神经成像技术的进步，以及研究团队与弗吉尼亚学校系统的合作，使这项工作及时而容易处理。识别性别和stem相关焦虑对大脑概念学习的可能影响，并测试空间教育在减少差异方面的有效性，本研究将为干预指明关键目标。该项目由EHR核心研究（ECR）项目资助，该项目支持推进STEM学习基础研究文献的工作。本项目旨在了解空间学习的神经机制，推进空间教育，并确定影响STEM学习和参与差异的因素。研究小组将收集学生在高中地球科学课程学习前后的功能磁共振成像（fMRI）和行为数据，该课程使用新颖的基于空间的课程来教授STEM概念和空间推理。该空间课程的试点数据已经开始描述起作用的潜在认知和神经机制，并显示出将其转移到STEM问题解决和空间能力核心测量的有希望的效果。与在实验室（但尚未在课堂上）证明成功的方法一致，研究团队将使用一组经验丰富且受过特殊训练的教师的多元神经表示作为确定学生神经标记的专家标准。概念知识和空间推理。利用最近的多变量模式分析（MVPA）和机器学习在脑成像方面的进步，该团队将比较学生学习前后的神经模式，以测试使学生更接近专家表征的轨迹。该项目还将首次测试，是否有可能根据不同课程在大脑中强化概念表征的程度来比较不同课程。同样，这项工作将测试空间教育是否会引导学生利用空间大脑资源进行stem相关的推理，并在此基础上对课程进行比较。该项目将测试神经数据是否为传统测试（例如传统单元测试）增加了预测价值，以便随后保留概念知识和空间推理。对STEM相关焦虑（如数学和空间焦虑）的评估以及对性别对认知和神经结果的影响的分析，将为影响STEM学习和参与差异的因素提供新的特征。