北京邮电大学学报(社会科学版) ›› 2015, Vol. 17 ›› Issue (1): 88-93.

• 教育研究 • 上一篇    下一篇

计算思维与理科专业“大学计算机基础”实践教学研究

  

  1. 1.北京邮电大学 可信分布式计算与服务教育部重点实验室,北京 100876;2.北京邮电大学 计算机学院,北京 100876;3.北京邮电大学 图书馆,北京 100876
  • 收稿日期:2014-10-03 出版日期:2015-02-28 发布日期:2023-03-27
  • 基金资助:
    2012年北京邮电大学教育教学研究与改革项目(与专业培养相适应的大学计算机基础课程建设的研究与实践);2013北京邮电大学教育教学研究与改革项目(立体互动式“经典阅读”教学体系创新平台的构建)

Computational Thinking and Practice Teaching of “College Computer Fundamentals” for Science Major

  1. 1. Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing 100876, China;2. School of Computer, Beijing University of Posts and Telecommunications, Beijing 100876, China;3. Library, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-10-03 Online:2015-02-28 Published:2023-03-27

摘要: 计算思维能力是“大学计算机基础”课程能力培养的核心内容。基于“理工融合”培养模式的需求和理科专业学生的特点,结合多年教学工作实践,构建了以计算思维为导向的大学计算机基础课程实践教学体系,从计算思维训练角度研究与探索了实践教学过程和方法,并对理科专业学生计算思维的培养进行了思考与建议。调查表明,学生满意度达92.5%。

关键词: 计算思维, 理科专业, 大学计算机基础, 实践教学

Abstract: Computational thinking ability is the core content of ability cultivation in the course of “College Computer Fundamentals”. Based on the requirements of “science combined with engineering” model of training and characteristics of students majoring in science, combined with years of teaching practice, the computational thinking-oriented practical teaching system of “College Computer Fundamentals” is constructed. From the perspective of computational thinking training, the practical teaching process and methods are explored, and the method of cultivating computational thinking of students majoring in science is suggested. The results show that the student satisfaction rate is 92.5%.

Key words: computational thinking, science major, College Computer Fundamentals, practice teaching

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