Quantitative Reasoning in the Context of Energy and Environment: Modeling Problems in the Real World
Contributors
Georgia Southern University faculty member Robert L. Mayes co-authored Quantitative Reasoning in the Context of Energy and Environment: Modeling Problems in the Real World alongside University of Wyoming faculty member James Myers.
Files
Download Full Text
Abstract
This book incorporates elements of problem-based learning to engage students around grand challenges in energy and environment, place-based leaning to motivate students by relating the problem to their community, and Understanding by Design to ensure that understanding key concepts in STEM is the outcome. The framework has as a basic tenet interdisciplinary STEM approaches to studying real-world problems. Professional learning communities of science and mathematics teachers were consulted to bring multiple lenses to the study of these problems, including the sciences of biology, chemistry, earth systems and physics, technology through data collection tools and computational science modeling approaches, engineering design around how to collect data, and mathematics through quantitative reasoning. The goal of the authors was to have teachers create opportunities for their students to engage in real-world problems impacting their place; problems that could be related to STEM grand challenges demonstrating the importance and utility of STEM. We want to broaden the participation of students in STEM, which both increases the future STEM workforce, providing our next generation of scientists, technologists, engineers, and mathematicians, as well as producing a STEM literate citizenry that can make informed decisions about grand challenges that will be facing their generation. This work provides a specific example of an interdisciplinary STEM module which is intended to be adaptable for generating additional modules.
Publication Date
11-14-2014
Publisher
Sense Publishers
City
Rotterdam, Netherlands
ISBN for this edition (10-digit)
9462095256
ISBN for this edition (13-digit)
978-9462095250
