Science, Technology, Engineering, and Math (STEM) with Vernier
Digital tools, such as Vernier sensors and graphing and analysis software, enhance STEM curriculum by integrating technology that helps students to visualize data and build critical thinking skills.
Vernier technology is used in more than 135 countries in biology, biotechnology, chemistry, Earth science, environmental science, physical science, physics, and water quality courses. From elementary schools to graduate studies, you can rely on Vernier technology for hands-on learning when science is the key focus of your STEM program.
Using Vernier technology, students
Ask questions and define problems to investigate
Plan and carry out investigations
Decide what data to gather and how much data are needed to produce reliable results
Analyze and interpret data
All Vernier technology—from sensors used in hands-on experiments to technology to test design solutions— supports a robust, engaging STEM education.
“Vernier hardware and software are essential tools that K-12 educators need to engage students in STEM learning that is relevant and inquiry-based using state-of-the-art technology. In addition, teachers who use Vernier technology receive the best user support available. I believe Vernier technology is a key component to any solid STEM
William Becker, Ph.D., Center for Science Education, Portland State University
The practices of engineering, when combined with Vernier sensors, allow students to identify problems, design solutions, and test those solutions using sensor data.
Vernier supports hands-on engineering activities:
Engineering design projects
Feedback and control projects
Bridge testing and contests
Structures and materials testing
Wind and solar energy investigations and design challenges
Computational thinking, visualizing data, and recognizing patterns are all part of scientific investigations and engineering activities using Vernier sensors and software.
Engage students in mathematical activities that teach them how to
Understand grade-level appropriate mathematics and statistics when analyzing data
Visualize data using a variety of analytical tools to show relationships