An AI-Augmented Phenomenographic Approach to Conceptualizing Undergraduate Students Experiences of Intercultural Team Cognition in STEM

一种人工智能增强现象学方法来概念化本科生在 STEM 中的跨文化团队认知体验

基本信息

  • 批准号:
    2219271
  • 负责人:
  • 金额:
    $ 35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

As society becomes increasingly globalized, STEM graduates are increasingly called upon to work with individuals from different cultures and backgrounds. Thus, organizations and governments expect STEM graduates to contribute as productive members and leaders of intercultural teams. This project is designed to conduct fundamental research on team cognition, an important component of teamwork training. Team cognition refers to the knowledge, interactions, and processes essential to effective team functioning. This project aims to examine intercultural team cognition specifically within computationally-intensive fields and, in the process, further develop the principal investigator’s STEM education research expertise. The project is supported by NSF's EHR Core Research Building Capacity in STEM Education Research (ECR: BCSER) program, which is designed to build investigators’ capacity to carry out high-quality STEM education research.The mixed-method project will be based on data gathered through student reflections, video recordings of teamwork, a series of validated survey items, and semi-structured interviews from students enrolled in computationally-intensive courses that entail semester-long team projects. Three specific objectives guide this project. First is to develop the principal investigator’s STEM education research skills and expertise relating to artificial intelligence enabled methods of analysis. Second is to carry out a fundamental STEM education research project that will examine the ways undergraduate students experience intercultural team cognition in the context of solving computational challenges. Third, and finally, is to engage in phenomenographic research that employs both traditional coding methods and artificial intelligence-augmented techniques to analyze qualitative data. The project will enable comparisons of findings and has the potential to provide methodological insights. The PI will work with a mentor and advisory board from her institution that have extensive expertise in machine learning, natural language processing, deep learning algorithms, and building trustworthy systems that facilitate explainability, fairness, and accountability. An external advisory board will also include individuals with expertise in intelligent design tutors as well as individual and team cognition. The research, associated presentations, and interaction with the advisory boards aim to contribute to the fundamental knowledge about team cognition in an educational context.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.
随着社会变得越来越全球化,STEM毕业生越来越多地被要求与来自不同文化和背景的人合作。因此,组织和政府希望STEM毕业生作为跨文化团队的生产成员和领导者做出贡献。本研究旨在进行团队认知的基础研究,团队认知是团队训练的重要组成部分。团队认知是指有效团队运作所必需的知识、互动和过程。该项目旨在研究跨文化团队认知,特别是在计算密集型领域,并在此过程中,进一步发展首席研究员的STEM教育研究专业知识。该项目得到了NSF的EHR核心研究STEM教育研究能力建设的支持(ECR:BCSER)项目,该项目旨在培养调查人员开展高质量STEM教育研究的能力。混合方法项目将基于通过学生反思、团队合作视频记录、一系列经过验证的调查项目、和半结构化的采访,从学生报名参加计算密集型课程,需要一个学期的团队项目。三个具体目标指导这个项目。首先是培养主要研究者的STEM教育研究技能和与人工智能支持的分析方法相关的专业知识。其次是开展一个基本的STEM教育研究项目,该项目将研究本科生在解决计算挑战的背景下体验跨文化团队认知的方式。第三,也是最后一个,是从事现象学研究,采用传统的编码方法和人工智能增强技术来分析定性数据。该项目将有助于对调查结果进行比较,并有可能提供方法上的见解。PI将与她所在机构的导师和顾问委员会合作,他们在机器学习,自然语言处理,深度学习算法以及构建可信赖的系统方面拥有丰富的专业知识,这些系统有助于解释性,公平性和问责制。外部顾问委员会还将包括在智能设计导师以及个人和团队认知方面具有专业知识的个人。该研究、相关演示以及与顾问委员会的互动旨在为教育背景下团队认知的基础知识做出贡献。该奖项反映了NSF的法定使命,并被认为值得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来支持。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Reflection on Action Approach to Teamwork Facilitation
对促进团队合作的行动方法的反思
Evaluating the Coverage and Depth of Latent Dirichlet Allocation Topic Model in Comparison with Human Coding of Qualitative Data: The Case of Education Research
  • DOI:
    10.3390/make5020029
  • 发表时间:
    2023-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gaurav Nanda;A. Jaiswal;Hugo Castellanos;Yuzhe Zhou;Alex Choi;Alejandra J. Magana
  • 通讯作者:
    Gaurav Nanda;A. Jaiswal;Hugo Castellanos;Yuzhe Zhou;Alex Choi;Alejandra J. Magana
Perceived Scrum Values, Conflict Resolution Ability, and Cultural Self-Awareness among System Design and Analysis Students.
系统设计和分析学生的 Scrum 价值观、冲突解决能力和文化自我意识。
Information Technology Undergraduate Students’ Intercultural Value Orientations and Their Beliefs about the Influence of Such Orientations on Teamwork Interactions
信息技术本科生跨文化价值取向及其对团队合作互动影响的信念
  • DOI:
    10.3390/higheredu2020014
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bahrami, Parsia;Kim, Yeji;Jaiswal, Aparajita;Patel, Devang;Aggrawal, Sakhi;Magana, Alejandra J.
  • 通讯作者:
    Magana, Alejandra J.
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Alejandra Magana-de-Leon其他文献

Alejandra Magana-de-Leon的其他文献

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{{ truncateString('Alejandra Magana-de-Leon', 18)}}的其他基金

Productive Online Teamwork Engagement Through Intelligent Mediation
通过智能调解进行高效的在线团队合作
  • 批准号:
    2113991
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Haptic-Based Learning Experiences as Cognitive Mediators for Conceptual Understanding and Representational Fluency in Engineering Education
基于触觉的学习体验作为工程教育中概念理解和表征流畅性的认知中介
  • 批准号:
    1606396
  • 财政年份:
    2016
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CAREER: Authentic Modeling and Simulation Practices for Enhancing Model-Based Reasoning in Engineering Education
职业:用于增强工程教育中基于模型的推理的真实建模和仿真实践
  • 批准号:
    1449238
  • 财政年份:
    2015
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: SmartCAD: Guiding Engineering Design with Science Simulations
合作研究:SmartCAD:用科学模拟指导工程设计
  • 批准号:
    1503436
  • 财政年份:
    2015
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
Computational Worked Examples for Scaffolding Student Representational Fluency
支架学生表征流畅性的计算工作示例
  • 批准号:
    1329262
  • 财政年份:
    2013
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant

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