Collaborative Research: Research: Understanding and Scaffolding the Productive Beginnings of Engineering Judgment in Undergraduate Students
合作研究:研究:理解和支撑本科生工程判断的富有成效的开端
基本信息
- 批准号:2313241
- 负责人:
- 金额:$ 19.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-15 至 2026-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Most of the courses that undergraduate engineering students take are “engineering science” courses that present foundational engineering concepts and formulas. However, in these classes students typically complete well-defined “textbook” problems that only have one correct answer. They do not have many opportunities to apply these concepts to ill-defined, complex, open-ended problems like the ones practicing engineers solve. With open-ended problems, the core engineering work is not finding the answer, but rather deciding how to mathematically represent (i.e. “model”) the system so that it can be analyzed. These modeling skills of engineers are called “engineering judgment.” Students need opportunities to learn and practice engineering judgment throughout their entire education, starting in their engineering science courses when they first learn these foundational concepts. This project features two integrated goals—to develop a new type of assignment and to conduct learning science research in context—that will advance knowledge around students’ professional formation as engineers. The new assignment being developed, called Open-Ended Modeling Problems, gives students a chance to practice engineering judgment by asking them to model a complex, real-world system. Intertwined with this assignment development is the in-depth study of how students exhibit engineering judgment in ways that are similar to that of practicing engineers—just at an undergraduate level. This research will inform the structure and implementation of the Open-Ended Modeling Problems and will produce generalizable knowledge about how students solve open-ended problems. This project will be conducted by a research team consisting of engineering education researchers and engineering faculty who will collaborate to develop, implement, and study Open-Ended Modeling Problems.Engineers solving problems in the workplace use mathematical models to analyze physical phenomena in the real world and to design solutions to problems. When constructing mathematical models, engineers use judgment to make assumptions, simplify real world characteristics, and assess the reasonableness of a model’s output. While engineering judgment is essential for engineering practice, engineering students rarely practice or engage in judgment while in school. Students are not usually given the opportunity to solve ill-defined problems that necessitate and cultivate the use of judgment until their capstone design course. This project seeks to investigate how novice engineers—students—make modeling judgments when given the opportunity to solve ill-defined dynamics and thermodynamics problems. It uses a design-based research methodology to produce foundational engineering education research knowledge and evidence-based pedagogical reforms. This project will use a constructivist grounded theory approach to identify students’ emergent judgment skills and to characterize the productive beginnings of engineering judgment (RQ1: In what ways do undergraduate engineering students display the productive beginnings of engineering judgment?). The research project's findings will contribute towards training engineering students to solve more complex problems and better prepare them for solving problems in engineering practice. The project will also investigate how to create scaffolding guidelines to help faculty develop problems that give opportunities for students to practice making judgments (RQ2: What assignment scaffolding supports students’ development of the productive beginnings of engineering judgment?) and help them recognize judgments in students’ thinking and work (RQ3: What assignment scaffolding makes students’ productive beginnings of engineering judgment visible to instructors?). The research team will use interviews, group discussions, student work, and surveys to triangulate the findings. The study will produce a framework of the productive beginnings of engineering judgment; research-to-practice guidelines for writing, assigning, facilitating, and grading open-ended modeling problems; and samples of student work and student discourse that exemplify the productive beginnings of engineering judgment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
工科本科学生所修的大部分课程都是“工程科学”课程,介绍基础工程概念和公式。然而,在这些课程中,学生通常会完成定义明确的“教科书”问题,这些问题只有一个正确答案。他们没有很多机会将这些概念应用于像实践工程师解决的那些定义不清、复杂、开放式的问题。对于开放式问题,核心工程工作不是找到答案,而是决定如何用数学方法表示(即“建模”)系统,以便对其进行分析。工程师的这些建模技巧被称为“工程判断”。学生需要在整个教育过程中有机会学习和实践工程判断,从他们第一次学习这些基本概念的工程科学课程开始。该项目有两个综合目标——开发一种新型的作业,并在此背景下进行学习科学研究——这将促进学生作为工程师的专业形成。正在开发的新作业被称为开放式建模问题,通过要求学生为一个复杂的现实世界系统建模,让他们有机会练习工程判断。与此作业发展交织在一起的是深入研究学生如何以类似于实践工程师的方式展示工程判断-只是在本科水平。这项研究将为开放式建模问题的结构和实现提供信息,并将产生关于学生如何解决开放式问题的一般化知识。该项目将由一个由工程教育研究人员和工程教师组成的研究小组进行,他们将合作开发、实施和研究开放式建模问题。解决工作场所问题的工程师使用数学模型来分析现实世界中的物理现象,并设计问题的解决方案。在构建数学模型时,工程师使用判断来做出假设,简化现实世界的特征,并评估模型输出的合理性。虽然工程判断是工程实践的必要条件,但工科学生在学校很少进行实践或从事判断。学生通常不会有机会解决不明确的问题,这些问题需要培养判断的使用,直到他们的顶点设计课程。该项目旨在调查新手工程师(学生)在有机会解决定义不清的动力学和热力学问题时如何做出建模判断。它采用基于设计的研究方法来产生基础工程教育研究知识和循证教学改革。本项目将使用建构主义扎根理论方法来识别学生的紧急判断技能,并描述工程判断的生产性开端(RQ1:本科工程专业学生以何种方式显示工程判断的生产性开端?)该项目的研究成果将有助训练工程学生解决更复杂的问题,并为他们在工程实践中解决问题做好准备。该项目还将研究如何创建脚手架指导方针,以帮助教师开发问题,为学生提供练习判断的机会(RQ2:什么样的作业脚手架支持学生发展工程判断的生产性开端?),并帮助他们认识学生思考和工作中的判断(RQ3:什么样的作业脚手架使学生的工程判断的生产性开端对教师可见?)。研究小组将使用访谈、小组讨论、学生作业和调查来三角测量研究结果。这项研究将产生一个框架的生产工程判断的开端;从研究到实践的写作指南,分配,促进和评分开放式建模问题;学生作业和学生话语的例子说明了工程判断的富有成效的开端。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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)
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Aaron Johnson其他文献
Waks-On/Waks-Off: Fast Oblivious Offline/Online Shuffling and Sorting with Waksman Networks
Waks-On/Waks-Off:使用 Waksman Network 进行快速不经意的离线/在线洗牌和排序
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Sajin Sasy;Aaron Johnson;I. Goldberg - 通讯作者:
I. Goldberg
Scale-Dependent Verification of the OU MAP Convection Allowing Ensemble Initialized with Multi-Scale and Large-Scale Perturbations during the 2019 NOAA Hazardous Weather Testbed Spring Forecasting Experiment
OU MAP 对流的尺度相关验证,允许在 2019 年 NOAA 危险天气试验台春季预报实验期间使用多尺度和大规模扰动初始化集合
- DOI:
10.3390/atmos14020255 - 发表时间:
2023 - 期刊:
- 影响因子:2.9
- 作者:
Aaron Johnson;F. Han;Yongming Wang;Xuguang Wang - 通讯作者:
Xuguang Wang
Zinc and Urinary Tract Disease: Evolving Research and Current Recommendations
锌与尿路疾病:不断发展的研究和当前的建议
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
T. Laurila;Aaron Johnson;N. Almassi;K. Penniston;D. Jarrard - 通讯作者:
D. Jarrard
Balancing Fun and Learning in a Serious Game Design
在严肃的游戏设计中平衡乐趣和学习
- DOI:
10.4018/ijgbl.2014100103 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Christopher Franzwa;Ying Tang;Aaron Johnson;Talbot Bielefeldt - 通讯作者:
Talbot Bielefeldt
Outcomes of adding cognitive behavioral therapy to medication-assisted treatment for opioid use disorder
在阿片类药物使用障碍的药物辅助治疗中添加认知行为疗法的结果
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:1.2
- 作者:
Taylor LeBlanc;Pamela Cromer;Stephen Gilliam;Aaron Johnson;Jane Garvin - 通讯作者:
Jane Garvin
Aaron Johnson的其他文献
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{{ truncateString('Aaron Johnson', 18)}}的其他基金
Collaborative Research: REU Site: Summer Undergraduate Research Program in RNA and Genome Biology (REU-RGB)
合作研究:REU 网站:RNA 和基因组生物学暑期本科生研究计划 (REU-RGB)
- 批准号:
2349254 - 财政年份:2024
- 资助金额:
$ 19.73万 - 项目类别:
Continuing Grant
Collaborative Research: Ideas Lab: RNA-encoded Molecular Memory (REMM)
合作研究:创意实验室:RNA 编码的分子记忆 (REMM)
- 批准号:
2243700 - 财政年份:2023
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
Developing Critically-Conscious Aerospace Engineers through Macro-ethics Curricula
通过宏观伦理课程培养具有批判意识的航空航天工程师
- 批准号:
2236148 - 财政年份:2023
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
Collaborative Research: Research Initiation: Contextualizing Engineering Science Courses by Teaching History and Judgement
合作研究:研究启动:通过教授历史和判断将工程科学课程情境化
- 批准号:
2306053 - 财政年份:2023
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
Molecular mechanisms of heterochromatin spreading at the leading edge
异染色质前沿扩散的分子机制
- 批准号:
2002231 - 财政年份:2020
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
CAREER: Structure and Control of Systems with Contact Uncertainty
职业:具有接触不确定性的系统的结构和控制
- 批准号:
1943900 - 财政年份:2020
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
NRI: FND: COLLAB: Design of dynamic multibehavioral robots: new tools to consider design tradeoff and enable more capable robotic systems
NRI:FND:COLLAB:动态多行为机器人的设计:考虑设计权衡并实现功能更强大的机器人系统的新工具
- 批准号:
1924723 - 财政年份:2019
- 资助金额:
$ 19.73万 - 项目类别:
Standard Grant
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