Collaborative Research: Visual Training in the Geosciences by Training Visual Working Memory
Collaborative Research: Visual Training in the Geosciences by Training Visual Working Memory
批准号:
1915874
负责人:
Christopher Sims
金额:
$60.81万
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
项目状态:
已结题
起止时间:
2017-09-01 至 2022-05-31
中文摘要
该项目在认知科学基础研究的基础上,确定了改进地球科学教育和培训的方法。地球科学是STEM的一门学科,对气候变化、能源资源和了解地震活动等几个国家和全球问题越来越重要。地球科学方面的专门知识在很大程度上依赖于无意识的感知技能,这些技能很难或不可能通过传统的课堂教育传授。因此,迫切需要改进或开发新的感知训练方法(即训练学生目测、识别和解释地质过程),并研究如何优化这一领域的教育实践。这个项目将应用认知科学的方法来实现这一目标,通过对地学学生进行行为实验,并开发人类认知的计算模型。该项目得到了NSF的EHR核心研究(ECR)计划的支持。ECR计划强调产生该领域基础知识的STEM基础教育研究。拟议的研究将集中在视觉工作记忆(VWM)在知觉学习和地球科学中的知觉专业知识中的作用。VWM是一种对地球科学至关重要的认知系统。例如,当地质学家观察或研究一幅风景时,他或她通过多次眼球运动从场景中的多个点获取视觉信息。然后,地质学家可以(无意识地)使用他或她的视觉工作质量来整合眼部运动的信息,以形成对地貌的连贯表示。虽然已有的关于视觉工作记忆的研究很多,但对视觉工作记忆与诸如地学等特定领域知觉能力的根本变化之间的关系却知之甚少。这项拟议的研究将建立并扩展最近开发的人类感知模型,该模型具有连接这两个领域的潜力。这个模型建立在信息论的基础上,也就是对物理系统如何有效地传递信息的数学研究。这个模型表明,培训和专业知识从根本上改变了一个人--S的感知系统,从而导致认知资源的更有效利用。为了验证这一模型,将对地学新手和有经验的学生进行一系列行为实验。这些实验和计算建模工作将贡献可用于改进地球科学和教育的基础知识。
英文摘要
This project identify ways to improve education and training in the geosciences, building on fundamental research in cognitive science. Geoscience is a STEM discipline that is of growing importance to several national and global issues, including climate change, energy resources, and understanding earthquake activity. Expertise in geoscience depends heavily upon unconscious perceptual skills that are difficult or impossible to impart through traditional classroom education. Consequently there is a great need to improve or develop new methods for perceptual training (i.e., training students to visually detect, identify, and interpret geologic processes) and to study how educational practices in this area may be optimized. This project will apply a cognitive science approach to meet this goal, by conducting behavioral experiments involving geoscience students, and developing computational models of human cognition. This project is supported by NSF's EHR Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field.The proposed research will focus on the role of visual working memory (VWM) in perceptual learning and perceptual expertise in the geosciences. VWM is a cognitive system that is critical to the geosciences. For example, when a geologist views or studies a landscape, he or she acquires visual information from multiple points in the scene by making numerous eye movements. The geologist can then (unconsciously) use his or her VWM to integrate information across eye movements to develop a coherent representation of the landscape. While there is much existing research on VWM, very little is known about the relationship between visual working memory on the one hand, and fundamental changes in perceptual ability in specific domains such as geoscience on the other hand. The proposed research will build upon, and extend a recently developed model of human perception that has the potential to connect these two domains. This model is based upon information theory, or the mathematical study of how physical systems can efficiently communicate information. This model suggests that training and expertise fundamentally change a person?s perceptual system in a way that leads to more efficient use of cognitive resources. In order to test this model, a series of behavioral experiments will be conducted involving novice and experienced students in the geosciences. These experiments and computational modeling efforts will contribute fundamental knowledge that can be used to improve geoscience and education.
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Technologies of Futuring: Computational Modeling Practices at the Intersection of Environmental Governance and Environmental Justice
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批准号:2240748
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项目类别:Standard Grant
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资助金额:$1.4万
-
财政年份:2023
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负责人:Christopher Sims
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依托单位:
Collaborative Research: Visual Training in the Geosciences by Training Visual Working Memory
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批准号:1560829
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项目类别:Continuing Grant
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资助金额:$74.27万
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财政年份:2016
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负责人:Christopher Sims
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依托单位:
Theory and Inference for Macroeconomic Policy
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批准号:0719055
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项目类别:Continuing Grant
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资助金额:$15.7万
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财政年份:2007
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负责人:Christopher Sims
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依托单位:
Quantitative methods for monetary and fiscal policy
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批准号:0350686
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项目类别:Continuing Grant
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资助金额:$14.77万
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财政年份:2004
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负责人:Christopher Sims
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依托单位:
Inference and Macroeconomic Dynamics
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批准号:9122355
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项目类别:Standard Grant
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资助金额:$22.85万
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财政年份:1992
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负责人:Christopher Sims
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依托单位:
Dynamic Quantitative Macroeconomics
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批准号:8608078
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项目类别:Continuing Grant
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资助金额:$6.5万
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财政年份:1986
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负责人:Christopher Sims
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依托单位:
Economic Applications of Large Scale Computing
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批准号:8415023
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项目类别:Standard Grant
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资助金额:$3.75万
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财政年份:1985
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负责人:Christopher Sims
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依托单位:
A Conference on Large-Scale Computing in Economics Univ. Of Minnesota-July 2,3, 1984
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批准号:8414551
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项目类别:Standard Grant
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资助金额:$1.75万
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财政年份:1984
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负责人:Christopher Sims
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依托单位:
Macroeconomic Fluctuations and Policy
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批准号:8309329
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项目类别:Standard Grant
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资助金额:$9.15万
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财政年份:1983
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负责人:Christopher Sims
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依托单位:
Econometric Evaluation of Macroeconomic Policy
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批准号:8112026
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项目类别:Standard Grant
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资助金额:$3.73万
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财政年份:1982
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负责人:Christopher Sims
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依托单位:
Quantitative Study of Business Cycles
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批准号:7818042
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项目类别:Standard Grant
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资助金额:$11.08万
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财政年份:1978
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负责人:Christopher Sims
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依托单位:
Dynamic Macroeconomic Models
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批准号:7602482
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项目类别:Standard Grant
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资助金额:$6.92万
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财政年份:1976
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负责人:Christopher Sims
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依托单位:
国内基金
海外基金
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