How can data systems improve STEM teaching and learning?

Data systems play a critical role in enhancing STEM education by strengthening the internal capacity of school systems to improve teaching and learning.

According to initiatives supported by the National Governors Association, the development of robust data systems is a key strategy for states aiming to ensure students graduate with the essential competencies required for postsecondary success and the workforce. These systems help educators and administrators by:

• Aligning Standards: Data systems facilitate the alignment of K-12 standards, assessments, and graduation requirements with the expectations of higher education and the global economy.1
• Targeting Improvements: By providing insights into student performance and program effectiveness, data systems allow school systems to identify shortcomings in traditional instruction and intentionally plan new, more effective STEM-focused initiatives.1
• Scaling Best Practices: Data-driven insights assist in identifying successful educational models—such as specialized schools and effective curricula—that can be brought to scale to improve the overall quality of the STEM teaching force.1

By integrating these systems, educators can better bridge the gap between academic concepts and real-world applications, fostering the STEM literacy necessary for a competitive, innovation-driven economy.1