基于云原生架构的经管类智能微实验平台设计研究

Research on the Design of an Intelligent Micro-Experiment Platform for Economics and Management Based on Cloud-Native Architecture

摘要: 针对当前经管类专业理论课程教学中存在的教学方式单一、师生互动不足、理论与实践脱节等问题，本文设计了一种基于云计算环境的经管类智能微实验平台。该平台创新性地采用“微实验”为核心教学载体，融合微案例、微动画、微视频等多元资源，通过云原生微服务架构实现高可用、可扩展的分布式系统。平台核心在于集成基于协同过滤算法的智能推荐引擎，通过实时采集与分析学生学习行为数据，实现个性化微实验资源的精准推送。本文阐述了平台的分层微服务架构设计、核心功能模块实现、教学资源标准化体系构建等，以期通过平台有效实现理论教学的即时验证与实践应用的无缝衔接，为经管类实验教学数字化转型提供可行的技术范式。

Abstract: Aiming at the problems existing in the current teaching of theoretical courses for economics and management majors, such as monotonous teaching methods, insufficient teacher-student interaction, and the disconnection between theory and practice, this paper designs an intelligent micro-experiment platform based on a cloud computing environment. This platform innovatively adopts “micro-experiments” as the core teaching vehicle, integrating diversified resources such as micro-cases, micro-animations, and micro-videos. It utilizes a cloud-native microservices architecture to achieve a highly available and scalable distributed system. The core of the platform lies in the integration of an intelligent recommendation engine based on a collaborative filtering algorithm, which enables the precise push of personalized micro-experiment resources through the real-time collection and analysis of student learning behavior data. This paper elaborates on the platform’s layered microservices architecture design, the implementation of core functional modules, and the construction of a standardized system for teaching resources. The aim is to effectively achieve the seamless integration of immediate verification in theoretical teaching and practical application through the platform, providing a feasible technical paradigm for the digital transformation of experimental teaching in economics and management.