Chillax Science
MAY 3, 2023
Instead of following a predetermined curriculum, inquiry-based learning encourages students to develop their own questions, hypothesis, experiments, and conclusions based on their observations and data analysis. STEM Education STEM science education is an interdisciplinary approach to teaching and learning. Let’s get social!
CSTEM
JANUARY 31, 2022
Though data science may seem like a popular catchphrase in tech, it’s much more than that. Data science is being used across many industries and is a skill that is rapidly expanding to every career field. What is Data Science. How is Data Science Being Used.
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Ask a Tech Teacher
FEBRUARY 20, 2024
Professions That Rely Heavily on Mathematics Engineering: The Backbone of Innovation Engineering is perhaps the most obvious field where mathematics plays a starring role. The development of new medical treatments often involves complex data analysis, making mathematics a crucial element in the quest to save lives.
STEM Education Shopping
AUGUST 26, 2023
In this article, we will delve into the fascinating worlds of Physics and Astronomy, Biology and Life Sciences, Engineering and Technology, Mathematics and Statistics, Chemistry and Materials Science, as well as Computer Science and Information Technology. One prominent area within engineering is civil engineering.
STEM Sport
OCTOBER 17, 2023
The Duality of STEM Skills Traditionally, when people think about STEM (Science, Technology, Engineering, and Mathematics) education and careers, they often prioritize hard skills—the technical knowledge and expertise required to excel in these fields. Hard skills directly apply in various STEM fields, from physics to computer science.
Career in STEM
AUGUST 16, 2023
Automotive Engineer: The Architects of Innovation Automotive engineers are at the forefront of designing and developing the vehicles we see on the roads today. Aspiring automotive engineers can focus on areas such as vehicle dynamics, aerodynamics, powertrain design, or vehicle safety.
STEMe
OCTOBER 13, 2023
This makes Julia perfect for demanding tasks like scientific computing, data analysis, and machine learning. This allows Julia to be used in many industries, from data science and machine learning to finance and engineering.
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