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机构地区:[1]哈尔滨工程大学计算机科学与技术学院,黑龙江哈尔滨150001
出 处:《高教学刊》2022年第5期193-196,共4页Journal of Higher Education
基 金:黑龙江省教育科学“十四五”规划重点课题“新工科背景下机器学习课程思政建设的研究及推进策略”(GJB1422115)。
摘 要:在新工科背景下,机器学习作为人工智能领域人才培养的核心课程,如何融入思政元素,已经成为一项重要的课程教学任务。文章系统分析新工科背景下机器学习教学模式和课程思政一体化建设的切入点,丰富课程思政实践案例,逐步探索形成新工科背景下适合人才培养目标的机器学习课程思政教学内容、教学方式和课程考核等环节的设计、实施模式,为我国高校工科类课程开展课程思政提供借鉴和重要参考。Under the new engineering,Machine Learning,as the core course of talent cultivation in the field of artificial intelligence.How to integrate ideological and political elements has become an important course teaching task.This paper systematically analyzes the entry point of Machine Learning course teaching mode and the integrated construction of ideological and political courses under the new engineering discipline,enriches the practice cases of the course ideological and political practice,and gradually explores the formation of a Machine Learning course suitable for talent training objectives under the new engineering discipline.The design and implementation mode of ideological and political teaching content,teaching methods,course assessment and other links provide reference for the development of ideological and political courses in engineering courses in Chinese universities.
分 类 号:G641[文化科学—高等教育学]
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