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Place-based Data Science: Raising Awareness on Plastic Pollution for a Sustainable School Community

Research output: Contribution to journalArticlepeer-review

Abstract

Plastic pollution threatens ecosystems, human health, and economies worldwide. To address this crisis, we developed and tested a high school curriculum that empowers students to investigate plastic waste in their community through hands-on data science and citizen science. Students used DataClassroom and the Marine Debris Tracker app to collect, analyze, and visualize data on local plastic pollution over six weeks. They identified patterns in waste accumulation, spotted gaps in available data, and created social media campaigns to raise awareness and inspire local action.

This project helped students develop crucial STEM skills while tackling a real environmental challenge. They learned to gather, organize, and interpret data while thinking critically about solutions. The curriculum aligns with Next Generation Science Standards and integrates mathematics, literacy, and social studies. Following NSTA safety guidelines, students conducted fieldwork that contributed to environmental stewardship in their community. Our results show how combining real-world data collection with a place-based environmental focus can prepare students to address local sustainability challenges.
Original languageUndefined/Unknown
Pages (from-to)64-73
Number of pages10
JournalThe Science Teacher
Volume93
Issue number1
DOIs
StatePublished - Feb 5 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Place-based
  • data science
  • plastics
  • citizen science
  • Environmental education

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