Skip to main content
COMMUNITY:
Project Descriptions

Data Modeling with Young Learners and Their Families

September 15, 2016 - August 31, 2018 | Public Programs

There is a growing need for citizens to be able to work with data and consider how data is represented. This work employs a design, make, play framework to create data modeling learning experiences for young children and their caregivers in an informal setting. The project develops and tests a curriculum for a workshop series for 5-8 year old children to engage them in playful exploration of data modeling. Children engage in data collection, data representation, and data analysis by drawing on their own experiences of museum exhibitions. The curriculum supports developing children's interest and engagement with data science and data literacy, which are foundational knowledge for a range of STEM careers and disciplines. This project advances efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM).

The project is grounded in a theoretical framework for young children's learning that focus on playful exploration, design, and building on children's own experiences and questions. The research examines how the curriculum needs to be designed to support families in data modeling, foster engagement in data modeling by both younger (ages 5-6) and older (ages 7-8) children, and provide evidence of active approaches to learning about STEM. The design and development project tests and investigates the materials using a design-based research framework. Children who participate in the workshop series should increase their confidence in solving problems, taking initiative, and drawing on available resources to pursue their own questions and respond to novel challenges. Data collected includes interviews with participants, artifacts of children's work throughout the series, and an observational instrument to document families' problem solving, persistence, and engagement with data science concepts.

Funders

NSF
Funding Program: ITEST
Award Number: 1614663
Funding Amount: $976,804

TEAM MEMBERS

  • Katherine McMillan Culp
    Principal Investigator
    New York Hall of Science
  • REVISE logo
    Co-Principal Investigator
    New York Hall of Science
  • Janella Watson
    Former Co-Principal Investigator
    New York Hall of Science
  • Delia Meza
    Project Staff
    New York Hall of Science
  • Kaitlin Donnelly
    Project Staff
    New York Hall of Science
  • REVISE logo
    Project Staff
    New York Hall of Science
  • Laycca Umer
    Project Staff
    New York Hall of Science
  • REVISE logo
    Project Staff
    New York Hall of Science
  • suzzo
    Project Staff
    New York Hall of Science
  • John Archacki
    Evaluator
    Hezel Associates, LLC
  • Discipline: Education and learning science | General STEM | Mathematics | Nature of science
    Audience: Elementary School Children (6-10) | Families | Museum/ISE Professionals | Evaluators | Learning Researchers
    Environment Type: Museum and Science Center Programs

    If you would like to edit a resource, please email us to submit your request.