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The integration of STEM (Science, Technology, Engineering, and Mathematics) in World History and Geography focuses on analyzing how scientific discoveries and mathematical principles influenced the engineering of infrastructure and the development of technologies. These advancements have significantly altered maps, reshaped global demographics, and transformed the nature of political authority.
STEM Integration
STEM Integration
Science: Explore how the study of science has changed over time and how discoveries in biology, chemistry, and physics have affected how long we live and how we use natural resources.
Science: Explore how the study of science has changed over time and how discoveries in biology, chemistry, and physics have affected how long we live and how we use natural resources.
Math: Analyze how we use data, math, and shapes to understand land sizes, manage world economies, and study changes in populations over time.
Math: Analyze how we use data, math, and shapes to understand land sizes, manage world economies, and study changes in populations over time.
Engineering: Investigate the structural design and construction of transport, defensive, and energy systems that allowed societies to overcome geographic barriers and modify the environment.
Engineering: Investigate the structural design and construction of transport, defensive, and energy systems that allowed societies to overcome geographic barriers and modify the environment.
Technology: Trace the lifecycle of tools—from mechanical hardware to digital software—that accelerated the speed of cross-cultural exchange and the centralization of state power.
Prohibition can be seen as a sociological experiment in the constraints of the market. The peak in the murder rate in 1933 illustrates how human behavior responded to the created scarcity. Additionally, this era prompted advancements in forensic science and automotive engineering, demonstrating that even during periods of social upheaval, STEM fields adapt and evolve to meet new challenges.
By using STEM in the classroom, we look at how data is collected. The "Reported Lynchings" graph on the left serves as a case study in underreporting. Because local "sensors," such as coroners and police, often exhibited bias, the statistical data were often smaller than the actual reality. This illustrates how measurement error can be intentional within a social system.
In STEM, bar graphs are used for Discrete Data (specific numbers at specific times). In the graph on the right, each bar represents a "data point" in a time-series analysis. As the bars increase in height, it indicates an exponential growth in poverty. A graph that resembles this would trigger a "System Alarm," as the "Unemployment Variable" is rapidly approaching a Critical Failure Level of 25%.
The student drew a line graph showing the "% of Women Employed in Professional Services Occupations" from 1900 to 1920. By choosing a line graph instead of a bar graph, the student is emphasizing the continuity of the change. It shows that women entering the workforce wasn't a one-time "event," but a mathematical Trend Line that was accelerating into the 1920s.
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