随着教育现代化的推进，丰富优质的数字化教育资源有利于教育公平和学习型社会的发展，学习者评价是保障教学资源质量的有力手段。当前，线上学习者存在评价意愿低，不愿意诚实评价等问题。区块链具有分布式存储、数据不可篡改、信息可追溯等特性，能为线上教育资源共享和学习者评价提供良好的环境。本文将基于演化博弈建立在线教育学习者评价激励机制RHE，通过数值仿真实验验证机制的可行性，并将其部署在区块链中。首先使用EM算法求解资源的真实质量，其初始值由k-means算法计算得来，再以资源质量衡量学习者评价的质量。然后，分析学习者在评价时的演化博弈，通过对演化稳定策略的求解，设计动态激励函数，以积分为载体对学习者进行激励。最后，将该机制以智能合约的形式部署在区块链中，为机制的执行提供安全自主、公开透明的环境。

With the advancement of educational modernization, enriching high-quality digital educational resources is conducive to educational equity and the development of a learning society. Learner evaluation is a powerful means to ensure the quality of teaching resources. Currently, online learners are reluctant to evaluate or conduct honest evaluations. Blockchain has the characteristics of distributed storage, data tamper resistance, and information traceability, providing a good environment for online educational resource sharing and learner evaluation. This article will establish an online education learner evaluation incentive mechanism RHE based on evolutionary games, verify the feasibility of the mechanism through numerical simulation experiments, and deploy it in blockchain. Firstly, the EM algorithm is used to calculate the true quality of resources, and its initial value is calculated by the k-means algorithm. Then, the quality of learners' evaluations is measured by the quality of resources. Then, it analyzes the evolutionary game of learners in evaluation, designs dynamic activation function by solving the evolutionary stability strategy, and uses integral as the carrier to motivate learners. Finally, the mechanism will be deployed in the form of a smart contract in the blockchain, providing a secure, autonomous, and transparent environment for its execution.