摘要
该研究以人工智能核心技术为支撑,系统性构建覆盖汽车电工电子课程全链路的智慧化教学体系。研究围绕“24H智能学伴、作业动态管理、教学适应性设计、题库生态化建设、知识图谱架构、课堂交互辅助”六大核心模块,深度整合汽车电路基础、电机控制技术、电子系统应用等核心课程内容,形成“教-学-练-测-评”全流程闭环。通过运用大模型辅助教学技术,研究有效破解了传统教学中抽象概念转化效率低、学生个体认知差异显著等瓶颈问题,实现了知识传递与技能培养的双维度突破。该研究在提升教学质量、推动教育创新、促进产业对接及助力学生发展等方面具有重要意义,为高校人工智能(AI)赋能课程教学改革提供了有益参考。
This article,supported by core artificial intelligence technologies,systematically constructs an intelligent teaching system covering the entire chain of Automotive Electrical and Electronic courses.It centers on six core modules:"24H intelligent learning companion,dynamic homework management,adaptive teaching design,ecological question bank construction,knowledge graph architecture,and classroom interaction assistance".By deeply integrating key course contents such as Automotive Circuit Fundamentals,Motor Control Technology,and Electronic System Applications,it forms a closed loop throughout the entire process of"teaching-learning-practicing-testing-evaluation".Through the application of large model assisted teaching technology,the article effectively addresses bottlenecks in traditional teaching,such as low efficiency in transforming abstract concepts and significant differences in students'individual cognition,achieving breakthroughs in both knowledge transmission and skill cultivation.This article holds great significance in improving teaching quality,promoting educational innovation,facilitating industry integration,and supporting student development,providing valuable references for colleges and universities in reforming artificial intelligence(AI)empowered course teaching.
作者
秦富贞
黄改云
QIN Fuzhen;HUANG Gaiyun(School of Intelligent Manufacturing,Qingdao Huanghai University,Qingdao 266427,China)
出处
《汽车实用技术》
2025年第16期95-100,共6页
Automobile Applied Technology
基金
山东省教育发展促进会课题(JCHKT2024309)
山东软科学研究会“产教融合研究智库专项”课题(SDRKX-01-202317)。
关键词
智慧教学
汽车电工电子课程
人工智能应用
教学改革
smart teaching
Automotive Electrical and Electronic Engineering course
artificial intelligence applications
teaching reform
