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基于OBE理念的人工智能专业实验教学模式研究与实践 被引量:12

Research and Practice on Experimental Teaching Mode of Artificial Intelligence Based on OBE
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摘要 随着人工智能技术的迅猛发展和相关领域渗透应用,社会对人工智能专业人才存在重大需求,加强人工智能专业人才实践创新能力培养是促进人工智能专业创新人才培养的关键。将OBE模式应用到人工智能专业的实验教学中,根据课程教学目标,优化实验教学内容,量化实验成绩考核标准,并结合具体的实验课程详细阐述,已初见成效,可以为人工智能专业的实验教学应用提供可行的方法和思路。 With the rapid development of artificial intelligence technology and the penetration and application of related fields,there is a great demand for artificial intelligence professionals in the society.Strengthening the innovative ability in practice of artificial intelligence professionals is the key to promote the cultivation of innovation-minded professionals of artificial intelligence.In this paper,OBE mode is applied to the experimental teaching of artificial intelligence.According to the course objective,the experimental teaching contents are optimized,the assessment standards of students’experimental courses scores are quantified,and more details are elaborated in specific experimental courses.This design has achieved initial success,which can provide feasible methods and ideas for the experimental teaching application of artificial intelligence specialty.
作者 李华玮 张沪寅 黄建忠 彭红梅 王毅 LI Huawei;ZHANG Huyin;HUANG Jianzhong;PENG Hongmei;WANG Yi(School of Computer Science,Wuhan University,Wuhan 430072,China)
出处 《实验科学与技术》 2022年第2期87-91,共5页 Experiment Science and Technology
基金 教育部产学合作协同育人项目(202102099016,202102474030) 武汉大学实验技术项目(WHU-2021-SYJS-13)。
关键词 人工智能 OBE理念 实验教学 人才培养 创新能力 artificial intelligence OBE concept experiment teaching talent cultivation the ability of innovative
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