期刊文献+

在动力机械及工程传统专业中引入新兴人工智能学科知识的教学思考及实践

Teaching Thinking and Practice of Introducing New and Developing Artificial Intelligence Knowledge into the Traditional Major of Power Machinery and Engineering
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摘要 该文探讨了在动力机械及工程传统专业中引入新兴人工智能学科知识及方法的教学思考,综述了国内外人工智能学科的蓬勃发展现状,提出了把传统专业与新兴人工智能专业相结合的“动力机械及工程+人工智能”专业教学的必要性、可行性及具体实施方法。在教学内容、教学方式上培养学生扎实的专业素养,与时俱进地掌握人工智能相关知识和方法,进行专业素养的拓展与延伸,以在社会就业、科研研究、工程管理等方面永葆生机与活力,真正落地化、专业化投身建设社会主义现代化强国的潮流。学生学会获取国内外的“动力机械及工程+人工智能”专业知识的方法及途径,汲取新的学科知识,这对拓宽动力机械及工程专业学生的学术眼界、培养适应国际化潮流的新型复合型人才具有重要作用。 This paper discusses the teaching reflection of introducing new and developing artificial intelligence knowledge and methods into traditional specialty in power machinery and engineering.It summarizes the current situation of the vigorous development of artificial intelligence at home and abroad,and puts forward the necessity,feasibility and specific implementation method of the teaching of"power machinery and engineering+artificial intelligence"which combines the traditional specialty with the new and developing artificial intelligence specialty.In terms of teaching contents and teaching methods,it is necessary to cultivate students'solid professional quality,ensure them to grasp the knowledge and methods related to artificial intelligence with the times,expand and extend their professional quality,so as to maintain vitality and vigor in social employment,scientific research,engineering management,etc.,and devote themselves to the trend of building a socialist modern powerful country with real landing and specialization.Students can learn the methods and ways to acquire the professional knowledge of"power machinery and engineering+artificial intelligence"at home and abroad,and learn new expertise,which plays an important role in broadening the academic horizon of students majoring in power machinery and engineering,and cultivating new composite talents to adapt to the international trend.
作者 李顶根 成晓北 Li Dinggen;Cheng Xiaobei
出处 《科教文汇》 2020年第21期93-94,102,共3页 Journal of Science and Education
关键词 动力机械及工程 人工智能 交叉融合 教学 power machinery and engineering artificial intelligence cross fusion teaching
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