Capacity Assessment, Tracking, & Enhancement through Network Analysis: Developing a Tool to Inform Capacity Building Efforts in Complex STEM Education Systems
能力评估、跟踪、
基本信息
- 批准号:2315532
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-01-01 至 2026-12-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This research and development (R&D) project aims to serve the national interest by advancing the development of an innovative tool and approach to document and assess capacity building in science, technology, engineering, and mathematics (STEM) programs in higher education. The Capacity Assessment, Tracking, and Enhancement through Network Analysis (CATENA) tool is based on a systems approach to understand complex organizations. The Five Capabilities Model of Capacity provides a framework for understanding capacity building that informs assumptions, conceptualization of metrics/measures, research questions, data collection, data analysis, interpretation, implementation, and use of findings. The dimensions of the Five Capacities Model include the capabilities of system actors to (a) commit and engage; (b) carry out tasks and produce results; (c) relate and attract support; (d) adapt and self-renew; and (e) balance diversity with coherence. The R&D effort integrates Social Network Analysis (SNA) with additional qualitative information in an effort to measure the capacity of an educational system for transformation. The mixed methods study is designed to yield the following outcomes: (1) An understanding of facets of capacity that are manifest in interactions and network features within education; (2) an instrument to capture these facets of capacity; and (3) a well-documented SNA data collection and analysis process rooted in graph theory to capture emergent system features. The project is designed around a three-phase research and development plan: The purpose of Phase 1 is to define salient interactions among key actors involved in advancing STEM educational capacity. Phase Two is designed to incorporate findings from Phase 1 into survey development. During Phase 3, the project team will pilot the survey across a College of Engineering and develop supporting documentation for its use. Evaluation and dissemination activities are supported by an external evaluation team and an external advisory board of experts in institutional change, SNA, and qualitative methods.The goal of the project is to address a national need for methodologies to evaluate and inform systemic, institutional change in a way that foregrounds continuous capacity building for long-term, sustainable change in higher education. In accordance with the overarching goal, the project will investigate three research questions across the three sequential phases of the study: (RQ1) What types of interactions among faculty, staff, and graduate students advance STEM education capacity among each of the capabilities defined by the Five Capabilities Model? (RQ2) How can each of the types of interaction observed through answering RQ1 be measured quantitatively through the design of the CATENA instrument? (RQ3) What network topologies emerge as significant for evaluating STEM education capacity in the networks created from piloting the CATENA instrument created in answering RQ2? The R&D effort integrates quantitative and qualitative data from a broad range of methodologies, such as social network analysis, surveys, and interviews to develop the CATENA tool and then to study capacity building. Examples of metrics include clustering coefficients, average path length, betweenness centrality, and degree distribution. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Institutional and Community Transformation track, the project supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities.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.
该研究和开发(R D)项目旨在通过推进创新工具和方法的开发来服务于国家利益,以记录和评估高等教育中科学,技术,工程和数学(STEM)计划的能力建设。 通过网络分析进行能力评估、跟踪和增强(CATENA)工具基于一种系统方法来理解复杂的组织。 能力的五种能力模型为理解能力建设提供了一个框架,为假设、度量/措施的概念化、研究问题、数据收集、数据分析、解释、实施和使用结果提供了信息。 “五种能力模式”的各个方面包括系统行为体在以下方面的能力:(a)承诺和参与;(B)执行任务和取得成果;(c)建立联系和吸引支持;(d)适应和自我更新;(e)平衡多样性与一致性。 研发工作将社会网络分析(SNA)与其他定性信息相结合,以衡量教育系统的转型能力。 混合方法研究旨在产生以下成果:(1)了解教育中的互动和网络特征所体现的能力方面;(2)捕捉这些能力方面的工具;(3)以图论为基础的记录良好的SNA数据收集和分析过程,以捕捉新出现的系统特征。该项目围绕三个阶段的研究和开发计划设计:第一阶段的目的是确定参与推进STEM教育能力的关键参与者之间的重要互动。 第二阶段的目的是将第一阶段的调查结果纳入调查编制工作。在第三阶段,项目小组将在工程学院进行试点调查,并为其使用编写支持文件。 评价和传播活动得到了一个外部评价小组和一个机构改革、国民账户体系和定性方法方面的外部专家咨询委员会的支持,该项目的目标是满足国家对方法的需求,以评价和通报系统性的机构改革,从而突出高等教育长期可持续改革的持续能力建设。 根据总体目标,该项目将在研究的三个连续阶段调查三个研究问题:(RQ 1)教师,工作人员和研究生之间的互动类型是什么?在五种能力模型定义的每种能力中,提高STEM教育能力? (RQ2)如何通过设计CATENA仪器来定量测量通过回答RQ 1观察到的每种类型的相互作用? (RQ3)什么样的网络拓扑结构对于评估在回答RQ 2时创建的CATENA工具的试点网络中的STEM教育能力具有重要意义? 研发工作整合了来自各种方法的定量和定性数据,如社会网络分析、调查和访谈,以开发CATENA工具,然后研究能力建设。 度量的示例包括聚类系数、平均路径长度、介数中心性和度分布。NSF IUSE:EDU计划支持研究和开发项目,以提高所有学生STEM教育的有效性。 通过其机构和社区转型轨道,该项目支持在高等教育机构和学科社区中改造和改善STEM教育的努力。该奖项反映了NSF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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John Morelock其他文献
Virtual Reality For Robot Control and Programming in Undergraduate Engineering Courses
本科工程课程中机器人控制和编程的虚拟现实
- DOI:
10.18260/1-2--44604 - 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Andrew Rukangu;John Morelock;Kyle Johnsen - 通讯作者:
Kyle Johnsen
John Morelock的其他文献
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{{ truncateString('John Morelock', 18)}}的其他基金
EAGER: Collaborative Research: Changing the Paradigm: Developing a Framework for Secondary Analysis of EER Datasets
EAGER:协作研究:改变范式:开发 EER 数据集二次分析框架
- 批准号:
2039871 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
The Pro-Qual Institute for Research Methods in STEM Education - A Novel Problem-Led and Research-Quality-Focused Approach
Pro-Qual STEM 教育研究方法研究所 - 一种以问题为导向、以研究质量为中心的新方法
- 批准号:
1937741 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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