Developing a Multi-Disciplinary STEM Education Model for Multilingual Learners That Meets Societal Challenges

  • Funded by National Science Foundation (NSF)
  • Total publications:0 publications

Grant number: 2300118

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2023
    2027
  • Known Financial Commitments (USD)

    $2,998,579
  • Funder

    National Science Foundation (NSF)
  • Principal Investigator

    Okhee; Eric; Eric; Alison; Scott Lee; Klopfer; Banilower; Haas; Grapin
  • Research Location

    United States of America
  • Lead Research Institution

    New York University
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Social impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

This project contributes to advancing knowledge on STEM education focusing on societal challenges by harnessing the convergence of STEM subjects, including data science and computer science, to empower a minoritized student group - multilingual middle-school learners (MLs). The research seeks to make two significant contributions. First, the project will develop a conceptual framework for multi-disciplinary STEM education with MLs to address pressing societal challenges. Second, over the course of four years, the project will translate this conceptual framework into practical implementation in classrooms, creating a comprehensive innovation to: (1) develop an instructional unit centered around a societal challenge in STEM education for MLs, utilizing the context of the COVID-19 pandemic; (2) create a teacher professional development (PD) program to facilitate successful implementation of the instructional unit in classrooms; and (3) Develop and validate a suite of instruments to measure the impact of the innovation on both students and teachers, evaluate the integrity of implementation, and assess its potential for diverse instructional settings. The project is grounded in a conceptual framework that addresses pressing societal challenges and employs the convergence of multiple STEM subjects to explain these challenges. The primary goal is to empower MLs in STEM learning by recognizing and nurturing their assets, such as transnational experiences and rich meaning-making resources to build students' equitable participation in STEM education. The research will take place in New York City Public Schools, the largest school district in the nation, and will be conducted in three phases over four years. Phase 1 (Years 1, 2, and 3) will employ design-based research to develop, test, and refine the instructional unit and PD program iteratively. Phase 2 (Years 2 and 3) will focus on developing a suite of instruments to study the innovation, ensuring they are valid and suitable for future larger-scale studies. Phase 3 (Year 4) will finalize the instructional unit, PD program, and instruments, making them ready for implementation and broader use. The conceptual framework, innovation, and instruments will pave the way for future large-scale field trials. Furthermore, the project will serve as a foundation for extending STEM education to address other pressing societal challenges, such as climate change and sustainability. Finally, it will contribute to a research agenda that seeks to tackle complex and pervasive societal issues that disproportionately impact minoritized groups. The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.  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.