基于成果导向的人工智能课程教学改革探索与实践  

Exploration and Practice of Artificial Intelligence Course Teaching Reform Based on Outcome Orientation

作　　者：胡秀华 惠燕[1] 曹子建[1] HU Xiuhua;HUI Yan;CAO Zijian(School of Computer Science and Engineering,Xi'an Technological University,Xi'an,Shaanxi 710021)

机构地区：[1]西安工业大学计算机科学与工程学院,陕西西安710021

出　　处：《科教导刊》2024年第13期116-118,共3页The Guide Of Science & Education

基　　金：西安工业大学教学改革研究项目(22JGY25)。

摘　　要：人工智能课程基础理论宽广、实践应用性强,目前在其教学过程中面临教学内容单薄、教学方法陈旧、课程考核片面等诸多问题。在一流课程建设视角下,文章以成果为导向,从教学内容、教学模式、考核评价等方面提出新的改革思路。基于在线课程平台进行课程建设,结合前沿技术方法构建创新型三位一体的教学内容体系,实行混合式教学模式拓宽知识讲授途径,采取全过程考核方式丰富学习质量评价机制,教学效果表明了改革举措的可行性。Artificial intelligence course is broad in basic theory and strong in practical application,and currently faces many problems in the teaching process,such as thin teaching content,outdated teaching methods and one-sided course evaluation.Under the perspective of first-class course construction,the paper is outcome-oriented and gives new reform ideas from teaching content,teaching mode,assessment and evaluation.The construction of courses is based on the online course platform,the innovative trinity of teaching content system is built by combining the cutting-edge technology methods,the blended teaching mode is implemented to broaden the pathway of knowledge teaching,and the whole process assessment is adopted to enrich the learning quality evaluation mechanism.The teaching effect shows the feasibility of the reform initiatives.

关 键 词：人工智能 成果导向 考核评价 教学效果 

分 类 号：G424[文化科学—课程与教学论]