Article in Polar Record written by ARCUS staff and PolarTREC alumni educators that shares impacts of participating in a Teacher Research Experience.
Abstract: PolarTREC-Teachers and Researchers Exploring and Collaborating (PolarTREC) has provided the opportunity for over 160 K-12 teachers and informal science educators from the USA to work directly with scientists in the Arctic and the Antarctic. As a Teacher
Educator Allyson Woodard and the Permafrost & Community Team discuss permafrost and how members of the community of Telida are helping to collect data to study the science of permafrost in their Alaskan village. This presentation was broadcast live from the Oregon Museum of Science and Industry (OMSI) in Portland, Oregon on 28 March 2019.
PolarTREC, funded by ARCUS (Arctic Research Consortium of the United States) and NSF (the National Science Foundation), brings educators to Polar Regions for immersive field work with researchers. This professional development opportunity allows educators to share real world experience with polar science in their communities, in the form of outreach and education. As an exhibit developer who
Students will collect soil samples and analyze them with some of the same procedures used by researchers in the McMurdo Dry Valleys, Antarctica. Soil microfauna (e.g. nematodes) will be extracted from the samples using a Baermann funnel. Students will compare their own data to published data from researchers working in Antarctica.
PolarTREC has been an amazing experience, wow! The heart of the PolarTREC program is the field expedition, which allows the teacher to be embedded in a field research team. STEM educators are passionate about what they teach but often lack access to meaningful opportunities to participate in basic research. Programs like PolarTREC provide that missing
Teacher Josh Heward discusses research with the "Tough Tardigrades Team" in the McMurdo Dry Valleys in Antarctica where they search for tardigrades and other microorganisms that live in the soil.
Models are great to use to make a concept easier to understand, to visualize a process or outcome, and also to allow a scientist to test selected variables. IMOLD is a great model of leaf decomposition, because it allows the students to interact with two variables affecting decomposition rates, and test those variables in many more ways than they could