How can we use AI as a research partner to investigate and improve the environmental health of our community?

Project Description

Students conduct authentic environmental research investigating local issues (water quality, air pollution, biodiversity, waste management). Working in teams of 3-4, they design research questions, collect field data, and use AI to analyze findings. Students learn to craft effective AI prompts, critically evaluate AI responses, and synthesize AI insights with field observations. The project culminates in research presentations where students share findings and reflect on AI as a research tool. Integrated project management strategies (team roles, communication protocols, task tracking) help students stay organized and collaborate effectively.

Why Use this Project?

This project develops critical AI literacy through 15+ embedded prompts that teach students to engineer effective prompts and evaluate AI outputs critically while maintaining ownership of their thinking. Students engage in authentic scientific practice—collecting real data and developing evidence-based community recommendations rather than completing simulated worksheets—while integrating environmental science content, data analysis, scientific methodology, digital literacy, project management, collaboration, and communication skills. Student agency drives engagement as teams choose topics that matter to them and investigate their own communities. The project prepares students for college and careers by building AI tool proficiency, critical thinking about technology, independent research capabilities, data synthesis skills, and effective team collaboration. The flexible design adapts for 2-4 week timelines, various AI tools, diverse learners, and multiple environmental topics.