Graphical Representations to Assess System Performance (GRASP): Assessment for Engineering Education
评估系统性能的图形表示(GRASP):工程教育评估
基本信息
- 批准号:0817486
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Engineering - Other (59)Assessment/Research (91)System literacy skills are at the foundation of students' abilities to comprehend how a particular system works, to identify opportunities to refine or repair that system, and more generally to adapt to novel situations. Current instructional practices, built on the assumption that basic mathematical and scientific inquiry skills must be obtained before learners can model complex problems, often delay the development of these skills. In pilot studies, undergraduate engineering students have demonstrated the potential for approaching complex engineering systems. However, they typically lack the tools necessary to comprehend these systems and to notice the relationships between components that explain how and why the system performs the way it does. This conclusion follows from performance-based assessments that require learners to generate abstract representations of systems. Performance-based assessment has long been emphasized as a method for measuring and developing both cognitive and meta-cognitive skills of learners. Because the cost of implementing performance-based assessment is high, the goal of this proposal is to construct an automated dynamic formative assessment environment that develops and measures students' ability to represent, identify, and explain solutions to complex problems. This system is called: "Graphical Representations to Assess System Performance" (GRASP). The design of GRASP is being shaped by ongoing research on evaluating students' conceptual understanding of complex systems. In addition, the project is developing methods for defining engineering problems into epistemic forms and rules. These forms and rules provide a representational structure that can be used to reliably evaluate students' work and provide meaningful feedback during practice session. Intellectual merit: The assessment system and architecture being developed for GRASP is an interface that allows users to generate graphics, receive rapid automated feedback, and refine their solutions. This system can increase students' ability to approach initial stages of solving a problem and provide TAs and instructors the opportunity to evaluate the highly generative and cognitively rich activities associated with more ill-structured problems. Broader impact: GRASP is designed to expand the kinds of assessments for learning that can be offered to learners of all ages and in any domain. The graphical user interface provides a new approach to assessing students' ability to explain their conceptual understanding of a system using both graphical and language literacy. GRASP integrates easily with many commercially available Learning Management Systems and thus will be attractive to a large audience of users. Once GRASP is developed, it will be adapted to K-12 learning environments through the INSPIRE Institute at Purdue University.
工程-其他(59)评估/研究(91)系统素养技能是学生理解特定系统如何工作的能力的基础,以确定改进或修复该系统的机会,以及更广泛地适应新情况。 目前的教学实践,建立在这样的假设,即基本的数学和科学探究技能必须获得学习者可以模拟复杂的问题,往往延迟这些技能的发展。 在试点研究中,本科工程专业的学生已经证明了接近复杂的工程系统的潜力。 然而,他们通常缺乏必要的工具来理解这些系统,并注意到组件之间的关系,这些关系解释了系统如何以及为什么会以这种方式执行。这一结论来自基于性能的评估,要求学习者生成系统的抽象表示。 基于表现的评估一直被强调为一种测量和发展学习者认知和元认知技能的方法。 由于实施基于表现的评估的成本很高,本提案的目标是构建一个自动化的动态形成性评估环境,开发和衡量学生的能力,表示,识别和解释解决复杂问题的能力。 该系统被称为:“评估系统性能的图形表示”(GRASP)。 GRASP的设计是由正在进行的关于评估学生对复杂系统的概念理解的研究形成的。此外,该项目正在开发将工程问题定义为认知形式和规则的方法。这些表格和规则提供了一个代表性的结构,可以用来可靠地评估学生的工作,并在实践会议期间提供有意义的反馈。智力优点:正在为大型类人猿生存项目开发的评估系统和结构是一个界面,使用户能够生成图形,接收快速自动反馈,并完善其解决方案。这个系统可以提高学生解决问题的初始阶段的能力,并为助教和教师提供机会,以评估与结构不良问题相关的高度生成性和认知丰富的活动。更广泛的影响:大型类人猿生存项目旨在扩大可向所有年龄和任何领域的学习者提供的学习评估种类。图形用户界面提供了一种新的方法来评估学生的能力,解释他们的概念理解的系统使用图形和语言素养。GRASP很容易与许多商业上可用的学习管理系统集成,因此将吸引大量用户。一旦大型类人猿生存项目开发出来,将通过普渡大学的INSPIRE研究所使之适应K-12学习环境。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sean Brophy其他文献
CRISPR-TRAPSeq identifies the QKI RNA binding protein as important for astrocytic maturation and control of thalamocortical synapses
CRISPR-TRAPSeq 鉴定 QKI RNA 结合蛋白对于星形胶质细胞的成熟和丘脑皮质突触的控制很重要
- DOI:
10.1101/2020.03.13.991224 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
K. Sakers;Yating Liu;Lorida Llaci;Michael J. Vasek;M. Rieger;Sean Brophy;E. Tycksen;Renate M. Lewis;S. Maloney;J. Dougherty - 通讯作者:
J. Dougherty
Ethnic minority underachievement in UK higher education: an analysis of nationally representative data provides little support for the intersectionality thesis
英国高等教育中的少数族裔成绩不佳:对全国代表性数据的分析对交叉性论文几乎没有提供支持
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:4.2
- 作者:
Sean Brophy - 通讯作者:
Sean Brophy
Work in progress - adaptive expertise: beyond apply academic knowledge
正在进行的工作 - 适应性专业知识:超越应用学术知识
- DOI:
10.1109/fie.2004.1408679 - 发表时间:
2004 - 期刊:
- 影响因子:0
- 作者:
Sean Brophy;Lynn Hodge;John D. Bransford - 通讯作者:
John D. Bransford
Ethnicity and UK graduate migration: An identity economics approach
种族与英国毕业生移民:身份经济学方法
- DOI:
10.1111/jors.12688 - 发表时间:
2024 - 期刊:
- 影响因子:3
- 作者:
Sean Brophy - 通讯作者:
Sean Brophy
Toward a Learning Technologies knowledge network
- DOI:
10.1007/bf02299463 - 发表时间:
1999-06-01 - 期刊:
- 影响因子:4.200
- 作者:
Roy D. Pea;Robert Tinker;Marcia Linn;Barbara Means;John Bransford;Jeremy Roschelle;Sherry Hsi;Sean Brophy;Nancy Songer - 通讯作者:
Nancy Songer
Sean Brophy的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Sean Brophy', 18)}}的其他基金
REU Site: NEESreu- Network for Earthquake Engineering Simulation: Reducing Seismic Vulnerability
REU 网站:NEESreu- 地震工程模拟网络:减少地震脆弱性
- 批准号:
1263155 - 财政年份:2013
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
REU Site: Network for Earthquake Engineering Simulation - Reducing Seismic Vulnerability
REU 站点:地震工程模拟网络 - 减少地震脆弱性
- 批准号:
1005054 - 财政年份:2010
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
Supporting Innovative Design Decisions (SIDD) through Cyber-enabled Learning Environments
通过网络学习环境支持创新设计决策 (SIDD)
- 批准号:
0935153 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
相似海外基金
Scene Processing With Machine Learnable and Semantically Parametrized Representations RENEWAL
使用机器学习和语义参数化表示进行场景处理 RENEWAL
- 批准号:
MR/Y033884/1 - 财政年份:2025
- 资助金额:
$ 50万 - 项目类别:
Fellowship
P-adic Variation of Modular Galois Representations
模伽罗瓦表示的 P 进变分
- 批准号:
2401384 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
CIF: Small: Learning Low-Dimensional Representations with Heteroscedastic Data Sources
CIF:小:使用异方差数据源学习低维表示
- 批准号:
2331590 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CAREER: Higgs bundles and Anosov representations
职业:希格斯丛集和阿诺索夫表示
- 批准号:
2337451 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
Unlocking the secrets of modular representations
解开模块化表示的秘密
- 批准号:
FL230100256 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Australian Laureate Fellowships
Native, non-native or artificial phonetic content for pronunciation education: representations and perception in the case of L2 French
用于发音教育的母语、非母语或人工语音内容:以法语 L2 为例的表征和感知
- 批准号:
24K00093 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Career: Learning Multimodal Representations of the Physical World
职业:学习物理世界的多模态表示
- 批准号:
2339071 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
Collaborative Research: Conference: Texas-Oklahoma Representations and Automorphic forms (TORA)
合作研究:会议:德克萨斯州-俄克拉荷马州表示和自同构形式 (TORA)
- 批准号:
2347096 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Parahoric Character Sheaves and Representations of p-Adic Groups
隐喻特征束和 p-Adic 群的表示
- 批准号:
2401114 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
Multiple Representations of Learning in Dynamics and Control: Exploring the Synergy of Low-Cost Portable Lab Equipment, Virtual Labs, and AI within Student Learning Activities
动力学和控制中学习的多重表示:探索低成本便携式实验室设备、虚拟实验室和人工智能在学生学习活动中的协同作用
- 批准号:
2336998 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Standard Grant