Game Theory Reveals How China Can Build a Working Credit Transfer System

China’s ambitious effort to build a national credit transfer system, a framework that would allow learners to bank, move, and exchange academic credits across schools and regions, has long been recognized as a problem of institutional design. Now a pair of researchers at Beijing Normal University’s Faculty of Education has reframed the challenge in the language of evolutionary game theory, showing that the system can only succeed when three very different players, learners, schools, and the government, each settle into a mutually reinforcing set of strategies. The study, published in Frontiers of Digital Education by Zhen He and Tao Bu, models the construction of the credit transfer system as a dynamic negotiation of costs, benefits, and expectations among these stakeholders, and its conclusions offer a rare quantitative footing for what has largely been a policy debate.

A credit transfer system is, at its core, an accounting mechanism for learning. It records verified educational achievements so that a course completed at one institution can be recognized at another, supporting lifelong learning in an economy where skills rapidly become obsolete. Similar systems have been tried internationally, from the European Credit Transfer and Accumulation System to South Korea’s Academic Credit Bank and proposals for aligned Asian academic credits. Yet the Chinese version is distinctive in scale and in the complexity of its governance: it must coordinate individual learners deciding whether to participate, schools deciding how much to invest in compatible teaching resources, and a government deciding how aggressively to supervise and subsidize the enterprise. Each actor’s payoff depends on what the others do, which is precisely the situation game theory was built to describe.

He and Bu constructed a three-subject dynamic evolutionary game model. In an evolutionary game, agents are not treated as perfectly rational calculators who instantly find the best move; instead, populations of players adjust their strategies over time, with more successful strategies spreading through imitation and reinforcement. The approach, which traces back to Lewontin’s application of game theory to evolutionary biology and has since become standard in economics, is well suited to education policy, where participants learn, imitate, and adapt rather than optimize from the start. The researchers incorporated external constraints, strategic assumptions, and payment assumptions into the model, grounding the payoff structure in the benefit relationships among the stakeholders.

The model assigns each player a binary strategic choice. Learners can adopt strong participation, actively engaging with the system to improve their abilities, or hold back. Schools can participate actively by building high-quality teaching resources that feed the credit system, or invest minimally. The government can exert strong dominance through supervision and support, or take a laxer stance. Each choice carries costs and expected benefits: learners pay tuition and effort in exchange for portable credentials and improved skills; schools bear the expense of developing quality courses and administrative compatibility in exchange for enrollment, reputation, and possibly government incentives; the government funds oversight and subsidies in exchange for social returns such as a better-trained workforce.

To move beyond abstract equilibrium conditions, the authors ran numerical simulations of the model. Simulations of this kind allow researchers to trace how the probability of each strategy changes over successive rounds, revealing the decision-making mechanism of the three parties under different parameter settings. The exercise is particularly valuable because the equilibria of evolutionary games depend sensitively on cost allocations and benefit magnitudes; a system that looks stable on paper can collapse if, for example, the cost of building compatible teaching resources falls entirely on schools while the benefits accrue mostly to learners and the state.

The central finding is a matching rule. The optimal configuration for constructing a suitable credit transfer system combines strong participation by learners focused on ability improvement, active participation by schools in creating high-quality teaching resources, and strong dominance by the government in supervision and support. In other words, no single actor can carry the system: learner enthusiasm without quality courses produces credentials with little content, and quality resources without learners generate waste, while absent government supervision undermines trust in the credits themselves. The system functions as a three-legged stool, and the evolutionary dynamics determine whether all three legs stabilize simultaneously.

The analysis also illuminates why credit transfer efforts elsewhere have struggled. International experience, from pan-European grading scales to attempts at equivalency between the European credit systems for higher and vocational education, shows that technical compatibility is only part of the problem; incentives matter just as much. The Chinese study suggests that misalignment of cost and benefit among stakeholders, rather than flaws in credit accounting itself, may explain stalled adoption. When the government’s supervision and support are strong enough to shift expected payoffs, the simulations indicate that learners and schools can be tipped into the cooperative strategies that make the whole arrangement viable.

Methodologically, the paper illustrates a growing trend in education research: importing formal tools from economics and biology to model policy systems with many interacting agents. The authors draw on stakeholder theory, which originated in management science with Donaldson and Preston’s influential formulation, to justify the three-party structure, and then embed it in a replicator-style dynamic framework. Numerical simulation serves as the bridge between analytic equilibrium conditions and practical policy levers, letting the researchers ask counterfactual questions about what happens when costs are reallocated or benefit demands change.

For policymakers, the practical implications are concrete. Investment in high-quality teaching resources should be encouraged so that schools find active participation genuinely rewarding, and government supervision should be robust enough to certify credit quality, since the value of any transferable credit rests on trust in its standards. Meanwhile, the design should make ability improvement, not merely credential collection, the visible payoff for learners, aligning individual motivation with the system’s educational purpose. The work was supported by China’s National Program for Funding Postdoctoral Researchers, and both authors are affiliated with Beijing Normal University.

As lifelong learning becomes an economic necessity in an era of rapid technological change, credit transfer systems are likely to spread globally, and the Chinese experience will be watched closely. He and Bu’s evolutionary game model provides a template for anticipating how such systems behave before they are built: identify the players, quantify their costs and benefits, simulate the dynamics, and design interventions that steer all parties toward the cooperative equilibrium. The finding that strong learner participation, active school engagement, and strong government dominance must arrive together is a warning against piecemeal reform, and a demonstration that the mathematics of strategic interaction can inform one of education’s most intricate institutional projects.

Subject of Research: Game-theoretic modeling of stakeholder participation strategies in China's credit transfer system for lifelong learning

Article Title: Participating Strategy of the Constructors in the Construction of Credit Transfer System in China

Article References: Participating Strategy of the Constructors in the Construction of Credit Transfer System in China. (n.d.). https://doi.org/10.1007/s44366-026-0077-z

Image Credits: AI Generated

DOI: 10.1007/s44366-026-0077-z

Keywords: credit transfer system, evolutionary game theory, lifelong learning, China, stakeholder theory, education policy, learners, schools, government supervision, numerical simulation, Beijing Normal University, Participating