Key Ideas
- Student test scores began dropping long before AI entered classrooms. The path forward isn’t banning new tools, but intentionally designing them to deepen student engagement, connection, and critical thinking.
- Tech fluency isn’t the same as subject mastery. While millions of students are adept screen users, turning that comfort into mastery of math, reading, and science requires intentional instructional design and solid conceptual foundations.
- Educators need systemic support, not just tools. Over 80% of teachers used AI last year. When systems invest in training and backing educators, technology is far more likely to shift from a classroom distraction into an effective tool for learning.
The latest global test results from the OECD’s Programme for International Student Assessment (PISA) came with a warning that every leader in education needs to hear.
Looking at 760,000 15-year-old students across 91 countries, the data shows reading and math scores dropping to their lowest points on record. In reading, scores fell 28 points over the last decade—representing roughly a year and a half of lost learning. Math dropped 22 points. One out of every five 15-year-olds now struggles with basic reading, math, and science.
In the United States, scores are stuck where they’ve been for years: 13th in reading and science, and 27th in math. While test score gaps between high- and low-income students narrowed slightly, they did so for the wrong reason—wealthier students simply scored worse, while disadvantaged students made no gains at all. That isn’t progress; it’s just everyone sliding backward together.
It is easy to look at these numbers and conclude that we should ban screens and AI from schools. But that misses what the data is actually telling us. Reading scores have been dropping since 2015, well before generative AI existed. Technology didn’t cause this decline, but how we support schools in navigating technology will determine whether scores keep falling or start to recover.
The Real Variable Is Guidance and Support
The PISA report contains one comparison that tells the whole story.
Students who used AI to write their essays without guidance did worse than students who didn’t use AI at all. When technology is dropped into classrooms without instruction on how to use it thoughtfully, learning suffers.
But the report also found the exact opposite: When students were taught how to check AI outputs for accuracy and use the technology to study, they scored higher than those who received no guidance.
The tool itself isn’t good or bad. What matters is whether we are giving educators the time, tools, and backing they need to guide students through using these technologies safely and effectively.
Knowing How to Use a Screen Isn’t the Same as Learning
PISA also highlighted a growing misconception about digital skills. In tests measuring problem-solving on computers, nearly two-thirds of students proved capable. Yet only half of those same students could pass basic tests in reading, math, and science.
In other words, millions of students know how to navigate software and follow digital steps, but they lack the underlying knowledge to make sense of what they are doing. Knowing how to click through a program is not the same as understanding a concept.
On top of that, classroom environment matters. More than a quarter of students reported that classmates were constantly distracted by devices during science lessons. The data showed that students in distracted classrooms scored lower, paid less attention, and felt less connected to their school. Human connection, active engagement, and focus aren’t secondary outcomes—they are fundamental academic variables. This is precisely why connection and authentic engagement anchor Digital Promise’s Powerful Learning Framework.
How Systems Must Step Up
To ensure technology translates into real academic growth for students, education leaders and policymakers must focus on three systemic priorities:
-
- Demand tools built for real learning: Educational technology should be designed to help students think through hard problems, build conceptual understanding, and foster reasoning—not just hand them quick answers or optimize for screen time.
- Help districts vet what works through shared standards: School districts currently run nearly 3,000 different educational apps with no unified way to judge which ones actually support learning. Digital Promise joined coalition partners to lead the EdTech Quality Collaborative, establishing five shared quality indicators—Safe, Evidence-Based, Inclusive, Usable, and Interoperable—so leaders have a trusted framework to vet tools before bringing them into classrooms.
- Invest in teacher preparation and ongoing training: About 85% of teachers used AI in some form last year, but fewer than half were provided with training on how to integrate it effectively. Expecting educators to navigate new technologies without systemic backing is unfair to both teachers and students. The difference between a tool that works and one that fails comes down to whether the system supports the humans in the classroom.
When educators are properly supported, the results can be remarkable. A 2025 World Bank study in Nigeria found that students using an AI tutoring tool alongside a supported teacher gained the equivalent of nearly two extra years of learning in just six weeks.
Moving Forward
The choices school boards, state leaders, and policymakers make over the next year about classroom technology will set the pattern for the next decade. PISA shows us what happens when new tools enter schools without a clear strategy. It also gives us a clear roadmap for how to get it right: support our educators, insist on foundational skills, and ensure technology serves powerful learning.
- Topics: AI and Emerging Tech , Classroom Practice , Evidence-Based EdTech , Systems and Leadership
- Learning Environments: K-12
- Audiences: EdTech Developers , Educators , Policymakers , School and System Leaders
- Offerings: Co-design , EdTech Strategy and Standards , Practice and Professional Learning , Research and Development
- Programs: Powerful Learning