Most Americans Doubt U.S. K-12 STEM Is Above Average, but Test Scores Tell a More Nuanced Story

Most Americans remain skeptical about the strength of K–12 STEM education in the United States, yet the underlying data paint a far more layered picture. Recent findings from the Pew Research Center show that while the public tends to view U.S. schools as only “average” in science, technology, engineering and math, student outcomes and global comparisons are anything but uniform. As business leaders and policymakers warn about rising international competition and a surging need for technical talent, the disconnect between perception and performance has become a central fault line in discussions about how well schools are preparing young people for a STEM-driven future.

Rising Public Doubt: Why Confidence in K–12 STEM Is Slipping

Across regions and income levels, many Americans say they are losing confidence in the ability of K–12 schools to launch students into modern science and technology careers. This unease persists even as districts pour billions of dollars into new devices, STEM labs and updated standards.

Parents and community members frequently argue that what happens in classrooms feels out of sync with a rapidly evolving economy. They point to limited access to advanced coursework, uneven exposure to computer science and a lingering emphasis on rote learning instead of practical, hands-on experiences. In conversations with teachers and administrators, three themes appear again and again:

• Outdated materials that fail to reflect current breakthroughs in fields like AI, biotechnology and renewable energy.
• Inconsistent teacher training, particularly when it comes to computer science, data literacy and engineering design.
• Visible achievement gaps separating wealthier districts from under-resourced schools, and advantaged students from their peers.

Recent opinion data underscore this cautious mood:

Many Americans also worry that other countries are outpacing the United States in science and math. That perception has been amplified by headlines about international rankings and stories of top-performing systems in East Asia and northern Europe. Yet national test data suggest something more complex: while some states have posted stable or rising scores in advanced math, physics and biology, key indicators also show declines in basic proficiency and deep, long-standing racial and socioeconomic gaps.

This tension leaves federal, state and local decision-makers with a difficult task: they must both reassure families that schools can adapt to new scientific realities and deliver meaningful, visible gains in areas that matter—access to rigorous STEM coursework, participation in advanced classes, and opportunities to tackle real-world problems in school settings.

International Benchmarks: U.S. Students Land in the “Upper-Middle” of the Pack

Results from major international assessments complicate any narrative of simple success or failure. On global exams such as TIMSS (Trends in International Mathematics and Science Study) and PISA (Programme for International Student Assessment), U.S. K–12 students tend to fall into an upper-middle tier. They outperform peers in many participating countries but do not yet match the consistently high results seen in the strongest education systems.

In mathematics, for example, U.S. eighth graders typically score above the international average but remain behind students in high-achieving economies like Singapore, South Korea and Japan. Science scores are often somewhat stronger, placing American students closer to top performers, though a noticeable gap still remains.

This “middle but not leading” position is driven in large part by internal variation:

• Above-average overall scores in math and science when compared with a wide range of participating nations.
• Persistent gaps separating the U.S. from top-performing systems, especially in multi-step math problem-solving and complex reasoning.
• Wide internal disparities tied to income, race, ethnicity, geography and school resources.
• Relatively stronger outcomes in science than in math, though still shy of global leaders in inquiry and advanced concepts.

A closer look at typical positions on international rankings highlights this nuanced reality:

In high-income suburbs and well-funded magnet schools, U.S. students often match or even exceed the performance of peers in world-leading systems. By contrast, students attending under-resourced schools—whether urban or rural—are far more likely to record scores below both national and international averages. This divergence helps explain why many Americans see national performance as lacking: for a significant share of families, the STEM instruction they observe locally does not resemble the success stories featured in national reports.

Resource Gaps and Uneven Teacher Support: How Inequities Shape STEM Learning

National averages can conceal just how different STEM education looks from one community to the next. Behind apparently stable test scores lies a sharp divide in day-to-day classroom experiences.

In some districts, students conduct experiments with advanced sensors, program autonomous robots and analyze real datasets from satellites or local environmental sensors. In others, students learn from outdated textbooks and complete lab activities that have changed little in decades, often without sufficient materials for every student.

Key drivers of this divide include:

• Instructional materials: Some schools enjoy access to up-to-date digital curricula, interactive simulations and open educational resources aligned with cutting-edge scientific fields. Others rely heavily on aging print materials that don’t reflect current knowledge or tools.
• Teacher support: Schools with more funding are more likely to staff STEM specialists, provide ongoing coaching and build in regular collaboration time. In lower-resourced settings, teachers may receive only occasional workshops or be left to learn new technologies on their own time.
• Technology infrastructure: Reliable high-speed internet, classroom sets of laptops or tablets, and dedicated lab spaces remain unevenly distributed across districts and states.
• Enrichment opportunities: Access to robotics clubs, coding camps, science fairs, research internships and partnerships with local businesses or universities varies widely.

These differences contribute to what researchers describe as a “patchwork” of opportunity. Two students in the same state—but different ZIP codes—might have dramatically different paths into STEM.

A simplified view of these contrasts can be seen in how schools describe their own resources:

Teacher shortages deepen these inequities. Schools serving low-income neighborhoods report higher vacancy rates in math, physics and computer science, along with more frequent use of long-term substitutes and out-of-field teachers. At the same time, professional learning opportunities often stop at introductory sessions, leaving little room for teachers to redesign courses around inquiry, engineering practices or data-rich projects.

Policy Reforms, Industry Partnerships and Hands-On Learning: Emerging Paths to Stronger K–12 STEM Education

Growing concerns over uneven outcomes, changing workforce demands and public skepticism have spurred a wave of reforms aimed at strengthening K–12 STEM education. While approaches vary by state and district, several broad strategies are taking shape.

1. Policy shifts that elevate STEM proficiency and progression
States are revising accountability systems to emphasize concrete gains in math and science proficiency, especially in earlier grades where foundational skills are formed. Some legislatures are tying funding formulas to district commitments in areas such as:

– Hiring and retaining credentialed STEM specialists.
– Expanding access to algebra by eighth or ninth grade.
– Updating science labs and classroom technology.
– Offering computer science as a core, not optional, subject.

At the national level, policymakers have increasingly promoted dual-enrollment programs and early-college high schools that allow students to earn STEM credits toward community-college certificates or four-year degrees while still in high school. These models aim to shorten the path from K–12 classrooms into technical careers in fields like cybersecurity, advanced manufacturing and health technologies.

2. Industry partnerships that connect STEM learning to real jobs
To address worries that graduates lack “job-ready” skills, many school systems are deepening collaboration with employers. Tech companies, hospitals, clean-energy firms and research labs are co-designing STEM experiences that mirror authentic professional challenges.

Common elements of these partnerships include:

• Co-taught courses where classroom teachers collaborate with engineers, data scientists or healthcare professionals who serve as mentors.
• Short, intensive labs and project cycles built around regional labor-market needs, such as renewable energy systems, logistics or biomedical devices.
• Micro-credentials that allow students to earn recognition for mastering specific tools or platforms, from CAD software to introductory programming languages.
• Embedded career exposure through site visits, virtual job shadowing, guest speakers and student participation in real-world research or product design.

These initiatives seek not only to refine technical skills but also to build the collaboration, communication and problem-solving capabilities that employers say they need.

3. Hands-on curricula that prioritize engagement and application
In response to concerns about passive, test-driven instruction, more districts are investing in active, project-based approaches to STEM. Maker spaces, robotics labs and community-based research projects are being integrated into both core and elective courses.

Well-designed hands-on curricula often feature:

– Opportunities for students to design, test and improve prototypes.
– Use of local data—such as water quality readings or traffic patterns—to practice analysis and interpretation.
– Cross-disciplinary units that blend math, science, engineering and technology with social studies or language arts.

These models aim to shift the focus from memorizing formulas to using STEM knowledge as a tool for understanding and improving the world.

The broad strategies currently reshaping STEM education can be summarized as follows:

Looking Ahead: Interpreting a Mixed Report Card for U.S. STEM Education

As debates over standards, funding and teacher preparation continue, the gap between public perception and measured performance in K–12 STEM education is likely to remain a major point of contention. Pew’s analysis, alongside other recent studies, suggests that the United States occupies an in-between position: not the unchallenged global leader in STEM that some might expect, but also far from the uniformly struggling system portrayed in the most pessimistic accounts.

Instead, the landscape is uneven. Some states, districts and schools demonstrate that high levels of STEM achievement are possible, especially when supported by stable funding, well-prepared teachers and close ties to local industries and higher education. Others grapple with chronic resource shortages, outdated materials and structural inequities that limit what students can achieve, regardless of their potential.

How policymakers, educators, families and employers respond to this mixed report card will shape the next generation’s readiness for an economy increasingly defined by science, technology, engineering and math. Choices made now—about equitable access to rigorous coursework, investment in teachers, and opportunities for real-world learning—will determine whether K–12 STEM education can bridge the gap between public skepticism and the promise of a more innovative, inclusive future.