Micro-Classes: A Structure for Improving Student Experience in Large Classes
Micro-Classes: A Structure for Improving Student Experience in Large Classes
复制标题
微课：改善学生大班体验的结构
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Leo Porter
中科院分区：
文献类型：
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作者：
Christine Alvarado;Mia Minnes;Leo Porter
随着计算机科学课程班级规模的扩大，学生得到的个人关注趋于减少。这项工作旨在通过创建“微班”——大班中的小团体——在大班中复制小班社区效应。这些微课堂由20- 30名学生组成，由研究生助教和本科生导师带领，他们接受过小课堂教学技巧的专门培训。本文研究了一门高年级数据结构课程的微课堂框架的成果，并将其与大型讲座、主动学习形式的同堂课的成果进行了比较。学生们报告说，微课堂部分提高了满意度，提高了对社区的感知，尽管学生的学习成绩没有明显的差异。
As class-sizes grow in computer science, the personal attention received by students tends to diminish. This work aims to replicate small-class community effects within a large class by creating "micro-classes"---small groups within the large class. These micro-classes consist of 20--30 students led by graduate teaching assistants and undergraduate tutors who are specifically trained in small-classroom instructional techniques. This paper studies the outcomes of the micro-classes framework in an upper-division data structures course and compares them to outcomes from the same class taught in a large lecture, active-learning format. Students report increased satisfaction and a higher perception of community in the micro-classes section, though there was no discernible difference in student academic performance.