Innovative Multidisciplinary Climate Change Education: Merging STEM Concepts and Climate Change Mitigation

Lisa Bosman

College of Menominee Nations

The College of Menominee Nation (CMN) is one of four Tribal Colleges currently holding NASA Earth Systems, Technology and Energy Education for MUREP-Minority University Research and Education Project (ESTEEM) awards. The CMN project focuses on increasing awareness of solar and other renewable energies and expanding interest in STEM. The project provides experiential learning opportunities for 4-6 STEM students, and has established innovative teaching curricula that fuse STEM concepts with climate change literacy, resulting in combined social science and physical science courses. STEM-based courses at CMN have been modified to include climate change literacy in the curriculum through inclusion of NASA climate datasets and additional lab modules. Working with the National Council for Science Education, the University of WI, Madison, American Indian Higher Education Council and other organizations CMN has been able to offer expanded opportunities for undergrad students to present information on the project at conferences. This activity supports the CoSTEM priority areas to enhance the STEM experience of undergraduate students, and better serve groups historically under-represented in STEM fields.

Funding agency NASA
Through the funding program NICE-T

Award Numbers NNX14AG57A

Selection Year:

Award Period:
5/1/2014 - 4/30/2017


Future Engineers in Training
Future Engineers in Training Elementary book series. The books include challenges such as constructing a deer stand, a haunted Halloween yard display, a science fair project, a remote control boat, and an aquaponics garden system to introduce students to the problem-solving potential of civil, biomedical, electrical, mechanical, and environmental engineering.

Audience Type: Students

Related Publications

Bosman, L., Darling, S., Performance modeling and valuation of snow-covered PV systems: examination of a simplified approach to decrease forecasting error, Environmental Science and Pollution Research International, 22 Mar 2018, 25(16):15484-15491.