Stop Blaming the Students: Our Math Pedagogy is Failing the Modern Economy

AI-generated image · Bay Street Wire
Opinion: Sliding numeracy scores in Canada are not a student failure, but a systemic failure to prioritize foundational knowledge over complex problem-solving.
As first reported by CBC Toronto, for too long, the conversation surrounding the decline of math scores in Canadian classrooms has focused on the students' inability to keep up. But as recent international and provincial assessments reveal a slide in math skills that actually pre-dates the pandemic, it is time to stop looking at the children and start looking at the frameworks. This is an opinion piece: we are failing our students by treating them as experts before they have mastered the basics.
As reported by CBC Toronto, there is a growing urgency to treat numeracy with the same level of systemic attention that literacy has received in recent years. The danger of this neglect is not merely academic; it is existential. John Mighton, a mathematician and founder of the education charity JUMP Math, warns that the increase in students falling to levels of below functional numeracy is a direct threat to Canada's economy, political system, and our collective ability to navigate risks, science, and probabilities.
The root of the problem lies in a pedagogical misunderstanding. Mighton argues that for the past two decades, math instruction has frequently confused the destination with the journey. Educators often plunge students into highly contextualized, complex problems filled with dense language, believing that this is the only way to "do math." In reality, this approach treats novices as if they are already fluent in the subject. We want students to be great problem solvers—the "chess players" of mathematics—but we are skipping the essential step of teaching them how the pieces move.
To fix this, we must pivot toward more systematic, teacher-led, direct instruction. This is not a call for a return to mindless rote learning, but rather a call for evidence-based practices. As Mighton suggests, we need more scaffolding, more guided practice, and a commitment to building foundational knowledge. When students are given the tools to become experts first, their ability to solve complex problems follows naturally.
This foundational shift is even more critical in the age of artificial intelligence. Mighton warns that it is a "dangerous idea" to assume students can navigate the challenges of AI without domain-specific mathematical knowledge. Without a firm grasp of math, individuals are far more likely to be misled or make disastrous decisions.
Furthermore, there is a disconnect between the laboratory and the classroom. Daniel Ansari, a professor of psychology and education at Western University, notes that while there is a wealth of research regarding how children absorb information and the barriers to their learning, this science does not always translate into teacher training or classroom execution.
We see the necessity of the basics in the classrooms of teachers like Kendra Corbett of the Upper Grand District School Board. Corbett emphasizes that counting to 10 is not the same as understanding what 10 represents. Without that fundamental understanding of magnitude, students are destined to struggle.
If we continue to prioritize complex application over foundational fluency, we aren't challenging our students—we are abandoning them. It is time to align our teaching methods with the science of learning to ensure the next generation is equipped for the modern economy.

