L2M – Enabling knowledge transfer between science education and coastal communities by leveraging generative AI and climate science publications

There are over 250 million scientific publications and reports with an increasing rate published each year, yet many are not accessible to the public due to their technical language and content hidden behind paywalls. This project aims to leverage AI (Artificial Intelligence) and a curated database of ocean-climate literature to enable educators and students to think critically and ask challenging questions about how climate change will affect their communities, as well as empower them to engage with and apply scientific knowledge towards climate solutions. But before we start designing a system, we need a real-world understanding of who educators are and what barriers exist with finding evidence. With secondary and post-secondary educators in Atlantic Canada as an initial population, a study focusing on the context of actors and the socio-cultural-organizations is needed to understand information needs, work demands, perceptions, and how they currently search for information.

Faculty Supervisor:

Philippe Mongeon

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Sociology

Sector:

Artificial Intelligence; Education; Information and Communications Technology

University:

Dalhousie University

Program: