The construction and implementation of an intelligent teaching system for “One Course, Two Scenarios” in the context of industry-education integration: A case study of the “Programmable Control Technology” course
产教融合视域下“一课双场景”教学智能体的构建与实践——以《可编程控制技术》课程为例

摘要

针对高职《可编程逻辑控制器技术》（Programmable Logic Controller，简称PLC）课程教学中内容与岗位脱节、实训设备资源不足、数智化支撑薄弱等核心问题，本文基于“智能共生”与“产教融合”理念，基于字节跳动扣子平台（ByteDance Coze Platform，简称Coze）构建并实践了一款“一课双场景”教学智能体。该智能体以企业真实的三菱 PLC 产线为蓝本，依托“知识库+代码工具+模拟实操接口”的极简架构，实现了工业运维与教学实训两大场景的深度协同。实践证明，该智能体显著提升了企业运维效率，同时贯通了课前预习、课中导学与课后评价的全流程，有效破解了物理设备短缺导致的实操瓶颈，实现了数据驱动的精准教学与个性化育人。

Abstract

Addressing the core challenges in teaching the “Programmable Logic Controller (PLC) Technology” course at higher vocational colleges—namely, the misalignment between course content and job requirements, the scarcity of physical practical training equipment, and insufficient digital-intelligent support—this paper, grounded in the concepts of “intelligent symbiosis” and “industry-education integration,” constructs and implements a “One Course, Two Scenarios” Intelligent Teaching Agent powered by the ByteDance Coze Platform (Coze). Modeled on a real-world enterprise Mitsubishi PLC production line and built upon a minimalist architecture of “knowledge base + coding tools + simulation interface,” the agent achieves deep synergy between industrial operations and maintenance (O&M) and educational training scenarios. Empirical practice demonstrates that this Intelligent Teaching Agent significantly improves enterprise O&M efficiency while seamlessly integrating the entire instructional pipeline across pre-class preview, in-class guidance, and post-class evaluation. Consequently, it effectively resolves the practical training bottlenecks caused by the shortage of physical equipment, enabling data-driven, precise instruction and personalized education.