Early STEM Provides 'Critical Foundation' for Future Learning

Early STEM Provides Critical Foundation for Future Learning

It's time to ramp up STEM in early childhood education, according to the Community for Advancing Discovery Research in Education (CADRE). CADRE is a network for STEM education researchers funded by the National Science Foundation's Discovery Research preK-12 program. A new science brief has suggested that quality STEM experiences in pre-K through grade 3 can offer a "critical foundation for learning about these disciplines in ways that facilitate later learning."

Young children, according to the report, can engage in math reasoning and even explain their math thinking; make sense of concepts such as length, area and volume; explore scientific ideas, such as cause and effect; and begin learning and communicating about engineering concepts, such as form and function.

Among the benefits of early learning in science and math, in particular:

  • It leads to social-emotional development and "fewer challenging behaviors";
  • It supports development of a mindset that includes curiosity, communication, persistence and problem-solving, among other habits;
  • It contributes to gains in all the other subjects by supporting literacy and language development and better reading comprehension and writing skills; and
  • It covers subjects that can engage students with varying backgrounds, including English learners.

But delivering "quality early STEM" requires expertise on the part of the teachers in scaffolding the lessons. Among the recommendations offered by the brief:

  • Encouraging children to share and elaborate on their observations and ideas, even if they're "incorrect";
  • Suggesting additional investigation to test their ideas;
  • Providing all children with equal opportunities to participate in STEM experiences; and
  • Listening to the kids and watching them as they "explore, play, talk to one another and engage in STEM activities" to get a sense of what they understand about STEM concepts.

The teachers themselves also need support as they learn how to teach STEM. Professional development needs to cover how teachers can make connections between STEM topics and the everyday activities of the students, both in school and out of school, among other areas of training. And they need to be able to dedicate time to engage in STEM learning and have access to learning materials that let the children read, write and speak about STEM.

The four-page brief is openly on the CADRE website.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • Children looking at screen displaying AI technology

    How Teachers and Administrators Can Contribute to AI Transparency

    To help students understand and use AI tools, teachers need professional development that supports them in redesigning tried-and-true assignments with an eye to teaching critical thinking.

  • students raising their hands and participating in a classroom discussion

    Report Explores Link Between Student Engagement and Learning

    Over 90% of teachers, principals, and superintendents agree that student engagement is a critical metric for understanding overall achievement, according to a new survey report from Discovery Education.

  • elementary school students using laptops displaying AI symbols and educational icons in a colorful classroom setting

    Khan Academy Revamps Platform for School Districts

    Khan Academy has reimagined its Khan Academy Districts platform, the paid partnership program that offers strategic implementation tools, data, and services for optimizing the use of Khan Academy district-wide.

  • magnifying glass highlighting a human profile silhouette, set over a collage of framed icons including landscapes, charts, and education symbols

    New AI Detector Identifies AI-Generated Multimedia Content

    Amazon Web Services and DeepBrain AI have launched AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.