机器学习课程的准时制前提复习

Lisa Zhang, S. Allin
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引用次数: 0

摘要

我们提出了一种即时策略,用于高年级机器学习课程的先决条件复习。本课程有一系列数学、计算机科学和统计学的先决条件。预修复习并不是什么新鲜事物,这门课程的教师历来都会在学期开始时提供预修资源。然而,这些资源中的一些材料直到本学期后期才会用到。在我们的及时复习策略中,我们将先决条件概念与每堂课联系起来。在每堂课之前,学生要完成2-4道选择题,复习这些概念。每个问题都提供了一个简短的教学视频,这样如果学生无法完成问题,他们可以通过观看视频来复习相关概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Just-In-Time Prerequisite Review for a Machine Learning Course
We present a just-in-time strategy for prerequisite review in an upper-year machine learning course. This course has a range of prerequistes in math, computer science, and statistics. Prerequisite review is not new, and instructors of this course have historically presented prerequisite resources at the beginning of term. However, some of the materials in these resources are not used until later in the term. With our just-in-time strategy for prerequisite review, we tie prerequisite concepts to each lecture. Before each lecture, students complete 2-4 multiple choice review questions covering these concepts. A short, instructional video is provided with each question, so that if a student is unable to complete the question, they can review the relevant concept by watching the video.
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