基于OBE与案例驱动的人工智能课程教学改革研究  

Research on the Teaching Reform of Artificial Intelligence Course Based on OBE and Case-Driven Approach

作　　者：朱艳 李香菊[1] 朱林[1] 弭娜[1] ZHU Yan;LI Xiangju;ZHU Lin;MI Na(Computer Science Department,Southeast University Chengxian College,Nanjing 210088,China)

机构地区：[1]东南大学成贤学院电子与计算机工程学院,江苏南京210088

出　　处：《软件导刊》2024年第11期206-211,共6页Software Guide

基　　金：教育部产学研合作协同育人项目(220602279281723);东南大学成贤学院教育教学改革与研究项目(yjg2201);东南大学成贤学院课程思政示范课项目(sfk2301);东南大学成贤学院青年教师科研发展基金项目(z0052)。

摘　　要：传统人工智能教学方法面临诸多挑战,包括算法繁多、内容晦涩难懂、学生兴趣缺失及思政教育不足。为此,以人工智能导论课程为研究对象,探讨了基于OBE理念与案例驱动教学法的教学改革策略。改革措施包括重塑课程知识、能力、素养目标,优化与重构教学内容,实施线上线下混合式教学模式,还提出多维并举的考核机制,旨在构建一个闭环式、模块化的教学单元满足行业和学生需求。实践表明,所提措施能提升学生对人工智能课程的兴趣和自信心,培养其思政素养,增强了学生的实践应用和解决实际问题的能力,能更好地适应计算机类人工智能方向的应用型人才培养需求。Traditional artificial intelligence teaching methods face many challenges,including numerous algorithms,obscure and difficult to understand content,lack of student interest,and insufficient ideological and political education.Therefore,taking the Introduction to Artifi⁃cial Intelligence course as the research object,this paper explores teaching reform strategies based on the OBE concept and case-based teach⁃ing method.The reform measures include reshaping course knowledge,ability,and literacy goals,optimizing and reconstructing teaching con⁃tent,implementing a blended online and offline teaching model,and proposing a multidimensional assessment mechanism,aiming to build a closed-loop and modular teaching unit to meet the needs of the industry and students.Practice has shown that the proposed measures can en⁃hance students'interest and confidence in artificial intelligence courses,cultivate their ideological and political literacy,strengthen their prac⁃tical application and problem-solving abilities,and better meet the needs of cultivating applied talents in the field of computer artificial intelli⁃gence.

关 键 词：OBE 案例驱动 教学改革 人工智能 思政教育 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]