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ERIC Number: ED639858
Record Type: Non-Journal
Publication Date: 2022
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Prerequisites for STEM Classes Using an Example of Linear Algebra for a Course in Machine Learning: Interactive Online vs Traditional Classes
Genady Grabarnik; Luiza Kim-Tyan; Serge Yaskolko
International Association for Development of the Information Society, Paper presented at the International Association for Development of the Information Society (IADIS) International Conference: e-Learning 2022, Part of the Multi Conference on Computer Science and Information Systems (MCCSIS 2022) (16th, Lisbon, Portugal, Jul 19-22, 2022)
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. [For the full proceedings, see ED639633.]
International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A