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Exploring factors that shape education & workplace training on essential 21st century competencies: A translational study in four high-STEM job regions

Exploring factors that shape education & workplace training on essential 21st century competencies: A translational study in four high-STEM job regions
探索塑造教育的因素
批准号:
1561493
负责人:
Benjamin Zwickl
金额:
$64.96万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-01 至 2021-04-30

项目摘要

项目成果

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中文摘要
翻译
威斯康星大学麦迪逊分校和罗切斯特理工学院将实施一个合作项目,调查是否特定的21世纪世纪的能力正在培养中学后的课堂和工作场所的培训,以及文化,组织和系统因素,支持或阻碍这种做法。研究人员还将研究教育工作者和雇主如何定义关键的劳动力能力,学生和员工的教育/培训体验以及从学校到工作的过渡,以及弥合高等教育和STEM行业之间差距的跨部门合作伙伴关系类型。调查的领域包括美国四个STEM工作高度集中的地区的光子学、信息技术、能源和先进制造业--华盛顿州的西雅图、北卡罗来纳州的罗利、德克萨斯州的休斯顿和丹佛,该研究将全面介绍2年制和4年制机构以及STEM样本中的教育工作者,相关行业思考并积极培养21世纪的关键能力。它将为学生和员工如何以及何时获得对他们在学校、生活和工作中取得成功至关重要的可转移技能提供实证证据。研究团队将使用整合场理论、文化模型理论和系统动力学的框架来指导混合方法研究,以探讨五个研究问题:(1)教育工作者和雇主如何定义、评价并将世纪基本的协作、解决问题、沟通和自我调节学习能力纳入教学和工作场所培训? (2)学生在课堂上运用这些能力的程度如何? (3)学生和员工如何定义、评价和认为他们正在学习这些技能?(4)各区域教育与产业之间跨部门关系的性质是什么?(5)哪些个人、组织和部门因素影响(a)这些技能是否在学校和/或工作中得到培养,(B)是否利用了主动学习技术? 同时混合方法设计将涉及收集教师和管理人员(n=80)和企业主(n=80)的访谈数据,教师(n=64)的课堂观察数据,学生(n=80)和员工(n=80)的焦点小组数据,以及来自教育工作者和雇主(n=464)的更大样本的调查数据。为了研究教学实践,将为教学维度观察协议(TDOP)开发一个专注于21世纪能力的新模块,并将使用ICAP(交互式、建设性、主动和被动学习模式)框架分析数据。还将使用归纳内容,社交网络,逻辑和多元回归以及因果网络分析技术对数据集和研究问题进行分析。研究小组将为每个地区的当地利益相关者举办为期一天的研讨会,以及一个总结性的全国会议,以展示区域实地数据,提供如何将关键的21世纪世纪能力纳入现有课程和工作场所培训计划的培训,并在教育工作者,雇主,政府,该项目由NSF的EHR核心研究(ECR)计划支持。ECR计划强调基础STEM教育研究,在三个主题领域产生基础知识:STEM学习和学习环境,扩大参与和STEM劳动力发展。
英文摘要
The University of Wisconsin-Madison and the Rochester Institute of Technology will implement a collaborative project to investigate whether specific 21st century competencies are being cultivated in postsecondary classrooms and workplace training, and the cultural, organizational, and systemic factors that support or impede such practices. Researchers will also examine how educators and employers define critical workforce competencies, student and employee experiences with education/training and the transition from school to work, and types of cross-sector partnerships that bridge the gaps between higher education and STEM industries. The fields investigated include photonics, information technology, energy, and advanced manufacturing industries in four regions in the U.S. with high concentrations of STEM jobs -- Seattle, WA, Raleigh, NC, Houston, TX, and Denver, CO. The study will result in a comprehensive account of how educators in a sample of 2- and 4-year institutions as well as STEM-related industries think about and actively cultivate key 21st century competencies. It will provide empirical evidence of how and when students and employees attain transferrable skills that are critical for their success in school, life, and work.The research team will use a framework integrating field theory, cultural models theory, and systems dynamics to guide a mixed-methods study to investigate five research questions: (1) How do educators and employers define, value, and incorporate into instruction and workplace training the essential 21st century competencies of collaboration, problem solving, communication, and self-regulated learning? (2) To what degree do students engage in these competencies in the classroom? (3) How do students and employees define, value, and think they are learning about these skills?, (4) What is the nature of cross-sector relations between education and industry in each region? and (5) Which individual, organizational, and sectoral factors influence whether (a) these skills are cultivated in school and/or work, and (b) active learning techniques are utilized? A concurrent mixed-methods design will involve collecting interview data from faculty and administrators (n=80) and business owners (n=80), classroom observation data from faculty (n=64), focus group data from students (n=80) and employees (n=80), and survey data from a larger sample of educators and employers (n=464). To study instructional practices, a new module focusing on 21st century competencies will be developed for the Teaching Dimensions Observation Protocol (TDOP), and data will be analyzed using the ICAP (interactive, constructive, active, and passive modes of learning) framework. Data will be analyzed also using inductive content, social network, logistic and multiple regression, and causal network analytic techniques as appropriate to the dataset and research questions. The research team will hold one-day workshops for local stakeholders in each region, as well as a summative national conference, to present regional field data, provide training on how to integrate key 21st century competencies into existing curricula and workplace training programs, and to open new lines of communication between and among educators, employers, government, and other community members.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 three thematic areas: STEM learning and learning environments, broadening participation, and STEM workforce development.
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    2315691
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    $39.5万
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    2023
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  • 依托单位:
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    2019
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