Can the “Technology Flywheel” Theory Transform China’s Math Modeling Education?

Although mathematical modeling is listed as a core competency for high school students, in practice both curriculum offerings and competition participation have not been widely promoted or valued, facing many obstacles.

Mathematical modeling education in China is still in its infancy, but guided by the “technology flywheel” theory we can see the educational flywheel accelerating, promising profound transformation.

What is the “Technology Flywheel” Theory?

The technology flywheel theory, originally used by tech companies to explain accelerated innovation, assumes technology behaves like a flywheel that needs an initial push to start rotating. Once in motion, it speeds up over time, generating large kinetic energy. The acceleration relies on three key elements: technological singularity, market demand, and financial support.

In the 2.0 version, the theory introduces the concept of a technological singularity—an obstacle currently hard to overcome but expected to be solved in the future if it follows scientific principles. Market demand represents society’s craving for new technology, providing continuous momentum, while financial support acts as a lubricant, influencing speed and duration.

I believe this theory applies not only to technology but also to educational innovation and promotion.

Below I will use the technology flywheel theory to analyze the future development of mathematical modeling education in China.

Technological Singularity: Assessment of Mathematical Modeling

A technological singularity is a barrier that is currently difficult to break but will eventually be overcome. In the promotion of mathematical modeling education, such singularities also exist.

One singularity is the high‑school entrance examination (Gaokao) assessment. Modeling problems may involve interdisciplinary backgrounds, diverse solution methods, and evaluation challenges, raising issues of educational equity.

This challenge is being addressed. At a recent Beijing Normal University Mathematical Modeling Center teachers’ workshop, Professor Chen Xiaming presented Shanghai’s practice of incorporating modeling into district mock exams, accumulating valuable experience.

Although the questions present a “low score, high difficulty, high design complexity” problem, appropriate adjustments can improve the situation. Shanghai leads national education reform with diversified initiatives, including dedicated modeling textbooks, teacher training, assessment, and competitions.

Current challenges also include insufficient teacher resources, incomplete curricula, and low student participation, but once the high‑school exam lever is moved, these problems will accelerate their improvement.

Market Demand: Society’s Hunger for Interdisciplinary Talent

The second key element of the technology flywheel is market demand. For mathematical modeling education, market demand manifests as society’s strong need for interdisciplinary talent.

In today’s fast‑changing world, single‑discipline knowledge is insufficient. Enterprises, research institutions, and society seek individuals who can apply cross‑disciplinary knowledge to solve real problems. Mathematical modeling cultivates such talent by teaching students not only mathematics but also critical thinking, teamwork, and innovation.

Beyond intellectual development, modeling education also fosters moral education. Solving real problems requires students to consider complex social contexts, multiple interests, and make responsible judgments, thereby enhancing analytical ability, social responsibility, and ethical awareness.

Financial Support: Capital Fuels Educational Innovation

In the technology flywheel theory, capital is a key factor accelerating the wheel. Likewise, financial investment is crucial for promoting mathematical modeling education.

In recent years, national and local governments have increased funding for education, especially for innovative concepts and teaching methods. These funds support teacher training, curriculum development, competitions, and the creation of modeling platforms, greatly advancing the field.

Moreover, as modeling education deepens, its tangible benefits will attract further investment, creating a virtuous cycle that speeds up the flywheel.

Future Outlook: How Will the Modeling Education Flywheel Spin?

Based on the technology flywheel theory, I boldly predict the future path of China’s mathematical modeling education. Although many difficulties exist now, they will be gradually overcome, and the flywheel will accelerate, bringing profound changes.

Within five years, modeling is likely to become part of the Gaokao, especially in southern provinces, raising its visibility and prompting schools to expand related courses.

Within ten years, the mathematics curriculum will be restructured around modeling, shifting from knowledge transmission to application and practice, greatly enhancing students’ mathematical literacy and confidence.

Within fifteen years, interdisciplinary integrated practice will become the norm, with modeling methods applied across subjects, boosting students’ innovation and adaptability.

In summary, the flywheel of China’s mathematical modeling education is gaining speed. With technological singularities, market demand, and financial support working together, rapid development is imminent.

Educators should not remain mere observers but become active participants in this educational transformation.