Preschool Data Collection and Analysis (DCA)

Over three years, the DCA project created and tested problem-solving activities for preK students (4-5-year-olds) that integrate mathematics and computational thinking (CT) by engaging children in data collection and analysis investigations. Using hands-on materials and a digital tool that collects data and creates visual data displays, the team targeted specific math skills that are naturally engaging for young children (e.g., counting and categorizing), and provide a foundation for later mathematics competencies. Ultimately, this project will set the stage for children who are underrepresented in STEM to succeed in mathematics and computational thinking tasks in elementary school and beyond.

This project developed a set of 9 hands-on, play-based, real world learning investigations with a digital tool that enhances participating students’ and teachers’ technology fluency; assessments to improve and measure preschoolers' mathematical and computational thinking; and a learning blueprint and conjecture map that articulate what children can and should learn, and the mechanisms by which they engage in that learning.

View the teacher-facing app and teacher guide: Preschool Data Toolbox.


Project Team: Ashley Lewis-Presser (Principal Investigator), Jessica Young (co-Principal Investigator)

This project is funded by the National Science Foundation, grant # 1933698. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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