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Title:
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PREREQUISITES FOR STEM CLASSES USING AN EXAMPLE OF LINEAR ALGEBRA FOR A COURSE IN MACHINE LEARNING: INTERACTIVE ONLINE VS TRADITIONAL CLASSES |
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Author(s):
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Genady Grabarnik, Luiza Kim-Tyan and Serge Yaskolko |
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ISBN:
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978-989-8704-39-9 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaias |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Prerequisites, Machine Learning, Linear Algebra, Interactive Self-Study Course, Traditional Course Delivery, Jupyter Notebooks |
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Type:
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Full Paper |
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First Page:
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27 |
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Last Page:
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34 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Any advanced class in Science, Technology, Engineering, and Mathematics fields requires prerequisite knowledge. Typically, different students will have different levels of knowledge in these prerequisite areas. A prerequisite (Linear Algebra for Machine Learning course) was implemented as an interactive online course using Jupyter Notebooks and nbgrader and compared with traditional classroom mode. Post-assessment test shows that traditional class provides a better level of understanding. However, a survey shows a preference by students and instructors for interactive implementation compared to traditional class. |
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