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人工智能背景下面向计算思维能力培养的《计算机组成原理》教学改革与实践
Teaching Reform and Practice of “Principles of Computer Composition” for the Cultivation of Computational Thinking Ability under the Background of Artificial Intelligence
【摘要】 计算思维作为继科学思维和实验思维后的第三大思维方式,是信息化时代人们认识和解决问题的基本能力之一,也是应对人工智能挑战的必备思维能力。《计算机组成原理》作为计算机类专业重要的必修课程,需要进行教学改革,培养学生的计算思维能力。结合实际教学工作,介绍了基于计算思维能力培养的《计算机组成原理》课程全面改革,通过教学内容重构、“问-思-做-评”教学方法,及“产出导向”的多元化考核评价等方面的改革与实践,培养学生计算思维能力,提高他们解决问题和创新能力,以适应人工智能时代的挑战和需求。
【Abstract】 Computational thinking is one of the basic abilities for people to understand and solve problems in the information age. It is also an essential thinking ability to deal with the challenge of artificial intelligence. “Principles of Computer Composition” is an important required course for computer majors, which requires teaching reform to cultivate students’ computational thinking abilities. Combined with actual teaching work, the comprehensive reform of the “Principles of Computer Composition” course based on the cultivation of computational thinking ability is introduced, through the reconstruction of teaching content. The “asking-thinking-doing-evaluating” teaching method and the “outcome-oriented” diversified assessment and evaluation increase students’ computational thinking skills and improve their problem-solving and innovation abilities to adapt to the challenges and needs of the artificial intelligence era.
【Key words】 artificial intelligence; computational thinking ability; “asking-thinking-doing-evaluating” four-step teaching method; “outcome-oriented” evaluation;
- 【文献出处】 实验室研究与探索 ,Research and Exploration in Laboratory , 编辑部邮箱 ,2023年12期
- 【分类号】TP18;G642.0
- 【下载频次】148