AI赋能《水泵及水泵站》课程思政教学改革研究

Research on the Teaching Reform of Ideological and Political Education in the Course “Pumping and Pumping Station” Empowered by AI

摘要: 在新工科建设与教育数字化转型驱动下，为破解《水泵及水泵站》课程思政元素挖掘不深、融入生硬、评价片面等痛点，本文构建“课前智能诊断与资源供给–课中智能互动与深度融入–课后智能评估与反馈优化”三阶段AI赋能教学模式。通过NLP挖掘思政素材、构建“知识–思政”双图谱、VR/AR创设沉浸式场景等技术应用，将AI贯穿教学全链条。该模式实现了专业知识传授、工程能力培养与价值塑造的有机统一，有效破解思政教育“两张皮”难题，为水利类工程专业课程思政智能化升级提供可复制范式。

Abstract: Driven by the construction of emerging engineering education and the digital transformation of education, to address the core pain points in the ideological and political teaching of the course “Pumping and Pumping Station”, such as insufficient excavation of ideological and political elements, rigid integration, and one-sided evaluation, this paper constructs a three-stage AI-empowered teaching model covering “pre-class intelligent diagnosis and resource supply—in-class intelligent interaction and in-depth integration—post-class intelligent evaluation and feedback optimization”. Through the application of technologies including natural language processing (NLP) for excavating ideological and political materials, construction of a “knowledge-ideological and political” dual knowledge graph, and VR/AR for creating immersive scenarios, AI is integrated throughout the entire teaching chain. This model achieves the organic unity of professional knowledge impartment, engineering competence cultivation and value shaping, effectively solves the problem of “two skins” in ideological and political education, and provides a replicable paradigm for the intelligent upgrading of ideological and political education in water conservancy engineering courses.