Collaborative Research: Understanding Context: Propagation and Effectiveness of the Concept Warehouse in Mechanical Engineering at Five Diverse Institutions and Beyond

合作研究：理解背景：机械工程概念仓库在五个不同机构及其他机构的传播和有效性

基本信息

批准号：
2135190
负责人：
Milo Koretsky
金额：
$ 92.64万
依托单位：
Tufts University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2135190&HistoricalAwards=false
关键词：
Collaborative Research Understanding Context Propagation

项目摘要

An increase in the number and diversity of graduates in science, technology, engineering, and mathematics (STEM) fields is important for the nation's competitiveness. Concept-based active learning strategies have been shown to improve students' academic performance and increase the number who choose to stay in STEM programs. However, scientific proof that these strategies are effective is not enough to make sure instructors use them in courses. It is also necessary to understand and find ways to get instructors to adopt proven practices. In this project new online concept-based materials for mechanical engineering courses in Statics and Dynamics will be developed. The project team will study why instructors decide to use the materials, and how factors at five different types of institutions affect these decisions. The project will help to show how circumstances at different institutions affect both instructor adoption as well as student learning and motivation. It will help inform ways to support widespread use of the evidence-based instructional practice. Thus, it will also help more students stay in and graduate from engineering programs.The goal of this project is to increase the adoption of concept-based active learning throughout undergraduate engineering programs. It builds upon the project team's previous success in developing the web-based Concept Warehouse instructional resource for chemical engineering. The resource contains hundreds of short questions to engage students in concept-oriented thinking, to assess their conceptual knowledge, and to provide extensive concept-based active learning tools. The project will expand Concept Warehouse to include content in mechanical engineering. Participating institutions include research-intensive and Hispanic-serving institutions, as well as a two-year college. A systems approach will be used to examine how elements of the educational context, such as size and departmental culture, influence instructor uptake and the resulting student learning. A mixed-methods research design will include the use of data analytics, instructor interviews, student focus groups, observations, classroom video, and pre/post concept inventory scores. The research plan will also address ways in which student backgrounds and demographics (e.g., underrepresented minorities; first-generation status) interact with institutional settings to affect student learning and engagement. Workshops and faculty community building activities will be used to promote propagation of the enhanced evidence-based instructional practices.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.

科学、技术、工程和数学 (STEM) 领域毕业生数量和多样性的增加对于国家竞争力非常重要。基于概念的主动学习策略已被证明可以提高学生的学习成绩并增加选择留在 STEM 项目的人数。然而，科学证明这些策略有效并不足以确保教师在课程中使用它们。还有必要了解并找到让教师采用经过验证的实践的方法。在该项目中，将为机械工程静力学和动力学课程开发新的基于概念的在线材料。项目团队将研究教师决定使用这些材料的原因，以及五种不同类型机构的因素如何影响这些决定。该项目将有助于展示不同机构的情况如何影响教师的采用以及学生的学习和动机。它将有助于提供支持广泛使用循证教学实践的方法。因此，它也将帮助更多的学生留在工程课程并从工程课程毕业。该项目的目标是在整个本科工程课程中增加基于概念的主动学习的采用。它建立在项目团队之前成功开发基于网络的化学工程概念仓库教学资源的基础上。该资源包含数百个简短的问题，可吸引学生进行概念导向的思维，评估他们的概念知识，并提供广泛的基于概念的主动学习工具。该项目将扩展概念仓库以包含机械工程方面的内容。参与机构包括研究密集型和西班牙裔服务机构，以及两年制学院。将使用系统方法来检查教育背景的要素（例如规模和部门文化）如何影响教师的吸收和最终的学生学习。混合方法研究设计将包括使用数据分析、教师访谈、学生焦点小组、观察、课堂视频和前/后概念清单评分。该研究计划还将探讨学生背景和人口统计数据（例如，代表性不足的少数群体；第一代身份）与机构环境相互作用以影响学生学习和参与的方式。研讨会和教师社区建设活动将用于促进增强的循证教学实践的传播。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Work in Progress: Using Machine Learning to Map Student Narratives of Understanding and Promoting Linguistic Justice

正在进行的工作：使用机器学习来绘制学生理解和促进语言正义的叙述

DOI：
发表时间：
2023-06
期刊：
2023 ASEE Annual Conference & Exposition
影响因子：
0
作者：
Auby, H.;Koretsky, M.
通讯作者：
Koretsky, M.

Student Metacognitive Reflection on a Conceptual Statics Question

学生对概念静力学问题的元认知反思

DOI：
发表时间：
2023-06
期刊：
2023 ASEE Annual Conference & Exposition
影响因子：
0
作者：
Grundy, L. S.;Koretsky, M. D.
通讯作者：
Koretsky, M. D.

Work-in-Progress: Computer Simulations to Deliver Inquiry-Based Laboratory Activities in Mechanics

正在进行的工作：计算机模拟以提供基于探究的力学实验室活动

DOI：
发表时间：
2021-07
期刊：
ASEE annual conference exposition
影响因子：
0
作者：
Cook, JM;Ekstedt, TW;Self, BP;Koretsky, MD
通讯作者：
Koretsky, MD

Towards an Adaptive Learning Module for Materials Science: Comparing Expert Predictions to Student Performance

迈向材料科学的自适应学习模块：将专家预测与学生表现进行比较

DOI：
发表时间：
2022-06
期刊：
ASEE Annual Conference proceedings
影响因子：
0
作者：
Nutnicha Nigon;Dana C Simionescu;Thomas W Ekstedt;Julie D Tucker;Milo D Koretsky
通讯作者：
Milo D Koretsky

Understanding Context: Propagation and Effectiveness of the Concept Warehouse in Mechanical Engineering at Five Diverse Institutions and Beyond – Results from Year 2

理解背景：机械工程概念仓库在五个不同机构及其他机构的传播和有效性 — 第二年的结果