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基于“问题求解”的数据结构翻转课堂的重构与实践 被引量:5

Reconstruction and practice of “data structure” flipped classroom based on “problem-solving”
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摘要 在高校计算机学科专业的基础核心课程中,《数据结构与算法》课程主要培养学生解决非数值计算问题,具备选择或设计恰当的逻辑结构、存储结构及相应算法的能力,提升工程应用的能力。当前的教学模式中,很多都以知识和算法思想传授为主,而缺乏对能力培养的重视,主要原因在于没有足够重视问题求解实践环节。介绍广东东软学院计算机学院近年来在这方面的改革,改革的基本内容包括课程模式以基于MOOC+OJ在线测评翻转课堂主线的面向问题求解的课程重构,在教学设计过程中探索和实践"递进式分层任务驱动"。 "Data structure and algorithm" is one of the core courses in computer science specialty, which mainly trains students to solve non-numerical calculation problems, has the ability to select or design appropriate logical structures, storage structures and corresponding algorithms, and enhance the ability of engineering applications. Many current teaching models are mainly based on knowledge and algorithmic ideas, and lack of emphasis on ability training. The main reason is that the problem-solving practice has not been paid enough attention to. This paper introduces the reform regarding teach mode in the school of computer science in Neusoft Institute Guangdong in recent years. The basic contents of the reform include the problem-oriented course reconstruction based on the MOOC+OJ online assessment flipped classroom, and the exploration and practice of "progressive task-driven" in the teaching design process.
作者 向燕飞 XIANG Yan-fei(School of Computing,Neusoft Institute Guangdong,Foshan 528225,China)
出处 《计算机工程与科学》 CSCD 北大核心 2019年第S01期174-177,共4页 Computer Engineering & Science
基金 教育部产学合作协同育人项目(201802162010)
关键词 问题求解 MOOC 翻转课堂 任务驱动 problem-solving MOOC flipped classroom task-driven
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