基于超星学习通的热学智慧课程建设和实践

Construction and Practice of an Intelligent Thermal Physics Course Based on Chaoxing Xuexitong Platform

摘要: 为解决传统《热学》课程教学中存在的概念抽象、公式繁多、师生互动不足、学情数据不足等问题，本文依托超星学习通平台，构建了“资源建设–图谱构建–AI赋能”三位一体的热学智慧课程。通过整合教材、微课、题库等多模态资源，搭建了包含77个知识点的课程知识图谱；利用AI助教、AI陪练等功能实现了个性化学习支持与学情智能分析。教学实践采用课前、课中、课后三段式模式，强化了知识传递、内化巩固与拓展延伸。结果表明，智慧课程有效促进了教学资源的结构化整合与学习过程的数字化管理，但AI工具使用率低、作业完成质量不稳定、学业成绩提升不显著等问题仍需进一步优化。本研究为基础物理课程的智能化改革提供了可借鉴的路径。

Abstract: To address the problems existing in the teaching of the traditional “Thermal Physics” course, such as abstract concepts, numerous formulas, insufficient teacher-student interaction, and a lack of learning condition data, this paper constructs a trinity-based Thermal Physics intelligent course featuring “resource construction, graph building, and AI empowerment” relying on the Chaoxing Xuexitong Platform. By integrating multi-modal resources such as textbooks, micro-lectures, and question banks, a course knowledge graph containing 77 knowledge points was built. Utilizing functions such as AI teaching assistants and AI practice partners, personalized learning support and intelligent analysis of learning conditions were realized. The teaching practice adopted a three-stage model of pre-class, in-class, and post-class, reinforcing knowledge transmission, internalization and consolidation, as well as expansion and extension. The results indicate that the intelligent course effectively promoted the structured integration of teaching resources and the digital management of the learning process. However, issues such as the low usage rate of AI tools, unstable quality of assignment completion, and insignificant improvement in academic performance still require further optimization. This study provides a referable path for the intelligent reform of fundamental physics courses.