STEM & Workforce Development
Preparing students for the future workforce requires more than just academic preparation. It calls for intentional alignment between education systems, career pathways, and evolving industry demands. We focus on the full ecosystem of learning and workforce development, ensuring that students gain not only the technical knowledge they need but also the skills, experiences, and opportunities that set them up for long-term success. By examining system-wide factors—from curricula and instructional practices to career and technical training to industry and community partnerships—we help bridge the gap between classroom learning and workforce readiness.
Our approach is both research-driven and deeply connected to real-world application. We partner with education leaders to strengthen career and technical education programs, workforce development initiatives, and technology integration efforts, ensuring that strategies are practical, scalable, and built to last. As artificial intelligence (AI) reshapes industries, we explore how AI and other digital tools can enhance—rather than replace—learning, helping students develop critical thinking, adaptability, and digital literacy skills that are essential for the future of work. By combining rigorous research with hands-on implementation, we ensure that education systems are preparing students for today’s workforce and equipping them to lead in the workforce of tomorrow.
Child Trends in Action: Advancing AI and STEM Education for a Future-Ready Workforce
We equip decision makers with research-backed strategies to integrate artificial intelligence (AI) and STEM education into classrooms, ensuring that students develop the skills needed for the future workforce. The AI-Class Framework for Educators and Administrators provides actionable strategies for effectively incorporating AI into instruction, streamlining operations, and enhancing student learning experiences. Our AI Risk Framework for Education helps schools implement AI safely, protecting students, families, and educators while maximizing AI’s benefits. Our research on AI applications in education explores how AI can optimize assessments, personalize instruction, and strengthen data-driven decision making in STEM subjects. Additionally, our Adapted Measure of Math Engagement project helps educators better understand how students engage with math, ensuring that instruction is designed to build problem-solving and analytical skills essential for STEM careers. By bridging AI innovation, STEM education, and workforce development, we help schools prepare students for the evolving job market, equipping them with the knowledge and skills needed for long-term success.
