Research Initiation: Advanced Modeling of Metacognitive Problem Solving and Group Effectiveness in Collaborative Engineering Teams

研究启动：协作工程团队中元认知问题解决和团队有效性的高级建模

基本信息

批准号：
2208680
负责人：
Faisal Aqlan
金额：
$ 19.99万
依托单位：
University of Louisville Research Foundation Inc
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-12-01 至 2022-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2208680&HistoricalAwards=false
关键词：
Research Initiation Advanced Modeling Metacognitive

项目摘要

Most engineering professionals acquire their technical skills through academic curricula. However, in order to succeed in fulfilling the missions of their professions, graduating engineers require a broader set of professional skills. Problem-solving, metacognitive awareness, teamwork, and mindsets supporting sustainability are 21st century skills that help engineers solve complex problems. These professional skills also allow engineers to work effectively in collaborative teams. This project aims to investigate how engineering students develop their professional skills and provide an approach for measuring and quantifying these skills. Undergraduate engineering students will work individually and in groups to solve real-life manufacturing problems while their professional skills are assessed and enhanced. In order to optimize team performance, the conflicts and errors that occur during the problem solving process will be minimized. By acquiring these skills, engineering students will become effective problem solvers and will be prepared to address complex problems in their work environment. Extensive academic and industry dissemination and outreach will be used to bolster the broader impact of project findings.This initiative will develop a new integrated approach to understanding professional skills in the engineering student population and determine if students are attending to the correct elements while solving engineering problems, both in individual and group settings. Physical simulations and virtual reality testbeds will be used to study metacognitive problem-solving and group effectiveness in collaborative teams. The testbeds will help to pinpoint what the students are paying attention to during the learning process as the low-level attention is measured through eye-tracking and application of psychological theories of learning and attention. The project will then develop analytical models to optimize team performance. The analytical models will combine conflict & error algorithms and statistical modeling methods to describe this learning process and identify where improvements can be made. The models will provide valuable insights into the metacognitive decision-making process. By studying eye movements (using eye-tracking), a deeper understanding of metacognition and factors affecting it can be achieved. Because eye movements are indicative of attention, this will allow determination of what information is being attended to, and ultimately processed, by students engaged in the process. By comparing physical simulations with virtual reality environments, this research will provide insights into the applicability of virtual reality technologies in the education domain. Research activities will be integrated into undergraduate courses to support problem-solving skill development. The research will contribute to the economic growth and security of our nation by enhancing the well-being, innovation, and creative problem-solving skills of undergraduate engineering students. This in turn will positively impact our society, academic environment, as well as manufacturing, service and healthcare industries.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.

大多数工程专业人士通过学术课程获得其技术技能。但是，为了成功履行其职业任务，即将毕业的工程师需要更广泛的专业技能。解决问题，元认知意识，团队合作和支持可持续性的思维方式是21世纪的技能，可帮助工程师解决复杂的问题。这些专业技能还使工程师可以在协作团队中有效地工作。该项目旨在调查工程学生如何发展自己的专业技能，并提供一种测量和量化这些技能的方法。本科工程专业的学生将单独工作，分组工作，以解决现实生活中的制造问题，同时评估和提高其专业技能。为了优化团队绩效，将最小化问题解决过程中发生的冲突和错误。通过获得这些技能，工程专业的学生将成为有效的问题解决者，并准备好解决其工作环境中的复杂问题。广泛的学术和行业传播和外展将用于增强项目发现的更广泛影响。该计划将开发一种新的综合方法来理解工程学生人数的专业技能，并确定学生是否在解决个人和小组环境的同时解决正确的要素。物理模拟和虚拟现实测试床位将用于研究协作团队中的元认知问题解决问题和群体效率。测试床将有助于确定学生在学习过程中的关注，因为低级注意力是通过吸引人的学习和应用心理学理论来衡量的。然后，该项目将开发分析模型以优化团队绩效。分析模型将结合冲突和错误算法和统计建模方法来描述这一学习过程并确定可以在哪里进行改进。这些模型将为元认知决策过程提供宝贵的见解。通过研究眼动运动（使用眼球运动），可以更深入地了解元认知和影响它的因素。由于眼动物表明了注意力，因此这将允许确定参与该过程的学生正在遵守哪些信息，最终处理的信息。通过将物理模拟与虚拟现实环境进行比较，这项研究将为虚拟现实技术在教育领域的适用性提供见解。研究活动将集成到本科课程中，以支持解决问题的技能发展。这项研究将通过增强本科工程学生的福祉，创新和创造性的解决问题的技能来为我们国家的经济增长和安全做出贡献。反过来，这将对我们的社会，学术环境以及制造业，服务和医疗保健行业产生积极影响。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估的评估来支持的。