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摘要

《数据结构》是计算机科学中一门重要的专业核心课程。随着新型冠状病毒肺炎疫情的发生,线下与线上教育的融合,即混合式教学成为一个迫切需要解决的问题。本文以“数据结构”课程为例,总结了混合式教学的实施,包括线上资源的选择、线下活动的设计、对线上和线下过程的公平评价,旨在拓展教与学的时间和空间。最后,对比2020-2021-1学期和2019-2020-1学期的成绩分布,得出混合教学可以激发学生的学习兴趣和自主学习,从而获得更高的优等生比例和更低的不及格生比例。
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Hybrid Teaching of "Data Structure" in Application-Oriented University
"Data structure" is an important professional core course in computer science. With novel coronavirus pneumonia, the integration of offline and online education, i.e., hybrid teaching becomes an urgent problem. This paper takes "data structure" course as an example to summarize the implementation of hybrid teaching, including the choosing of resources online, designing of activities offline, fair assessment to both online and offline process, aims to expand the time and space of teaching and learning. In the end, we compare the score distribution between 2020-2021-1 semester and 2019-2020-1 semester, and we can draw the conclusion that hybrid teaching can stimulate students' interest in learning and autonomous learning, so we can gain higher proportion of excellent students and lower failed students.
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