Home // eLmL 2020, The Twelfth International Conference on Mobile, Hybrid, and On-line Learning // View article
Authors:
Genady Grabarnik
Luiza Kim-Tyan
Serge Yaskolko
Keywords: prerequisites; machine learning; linear algebra; interactive self-study course; jupyter notebooks
Abstract:
Abstract—While teaching Science, Technology, Engineering, and Mathematics (STEM) subjects, we frequently encounter situations where we have several prerequisites for a particular course. We anticipate that students will have different levels of knowledge in these prerequisites. A prerequisite (Linear algebra for Machine Learning course) was implemented as an interactive online course using Jupyter Notebooks and nbgrader. A preliminary survey shows a preference by students and instructors for this interactive implementation.
Pages: 57 to 62
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2308-4367
ISBN: 978-1-61208-764-1
Location: Valencia, Spain
Dates: from November 21, 2020 to November 25, 2020