融合情境式教学的数据结构与算法课程探索与实践——以哈夫曼树与哈夫曼编码为例  

Exploration and Practice of Data Structures and Algorithms Course Integrated with Situational Teaching——A Case Study of Huffman Trees and Huffman Coding

作　　者：彭岳 PENG Yue(Nanjing Tech University,College of Computer and Information Engineering(College of Artificial Intelligence),Nanjing,Jiangsu 211800)

机构地区：[1]南京工业大学计算机与信息工程学院(人工智能学院),江苏南京211800

出　　处：《科教导刊》2024年第20期122-124,共3页The Guide Of Science & Education

摘　　要：数据结构与算法是计算机科学与工程领域的核心课程,但因课程内容的抽象性和复杂性,学生在学习过程中存在理解困难和兴趣流失问题,导致其难以有效地达成计算机人才培养目标。文章通过分析情境式教学的理论基础及当前教学现状,研究围绕哈夫曼树这样一个知识点构建与现实世界紧密相关的学习情境,设计基于情境的教学实施方案,并在实际教学中应用和评估效果。研究发现,情境式教学既能提高理论与实践的结合度,激发学生的学习动机与学习兴趣,又能增强学生的国家观念和历史使命感。ness and complexity of the course,students find it difficult to understand and lose interest during the learning process,making it challenging to achieve the goal of cultivating computer talents.Through analyzing the theoretical foundation of situational teaching and the current teaching status,this study constructs learning situations around the knowledge point of Huffman Trees.A set of situational-based teaching implementation plans was designed and applied in actual teaching,along with an effectiveness evaluation.The research finds that situational teaching not only improves the integration of theory and practice,and stimulates students'learning motivation and interest,but also effectively enhances students'national consciousness and sense of historical mission.

关 键 词：情境式教学 数据结构与算法 哈夫曼树与哈夫曼编码 人才培养 

分 类 号：G424[文化科学—课程与教学论]