基于超星学习通平台AI辅助教学模式探索——以《力学》课程为例

Exploration of an AI-Assisted Teaching Model Based on the Chaoxing Learning Platform—A Case Study of the “Mechanics Course”

摘要: 在教育数字化转型的背景下，人工智能技术与教学的深度融合成为推动课程改革的重要路径。本文以《力学》课程为例，系统分析超星学习通平台在AI辅助教学中的功能优势，探讨其理论基础与实践策略。通过构建知识图谱、优化教学流程、设计个性化学习路径，实现从“以教为中心”向“以学为中心”的转变。本文主要定位于特定平台与特定课程深度融合的教学模式探索，旨在为后续校本实践与教学验证提供思路参考。

Abstract: In the context of the digital transformation of education, the in-depth integration of artificial intelligence technology and teaching has become an important path to promote curriculum reform. Taking the “Mechanics” course as an example, this paper systematically analyzes the functional advantages of the Super Star Learning Platform in AI-assisted teaching and explores its theoretical basis and practical strategies. By constructing a knowledge graph, optimizing the teaching process, and designing personalized learning paths, the paper discusses the shift from “teacher-centered” to “student-centered” instruction. This study is primarily positioned as an exploration of a teaching model that deeply integrates a specific platform with a specific course, and is intended to provide a reference for subsequent school-based practice and empirical verification.