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Constructing a Course on Classification Methods for Undergraduate Non-Stem Students: Striving to Reach Knowledge Discovery
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Anna Khalemsky; Roy Gelbard; Yelena Stukalin – Journal of Statistics and Data Science Education, 2025
Classification, a fundamental data analytics task, has widespread applications across various academic disciplines, such as marketing, finance, sociology, psychology, education, and public health. Its versatility enables researchers to explore diverse research questions and extract valuable insights from data. Therefore, it is crucial to extend…
Descriptors: Classification, Undergraduate Students, Undergraduate Study, Data Science
Using Competition to Improve Students' Learning in a Project-Based Learning Course: The Systemic Impacts of the Data Science Olympics
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Joao Alberto Arantes do Amaral; Izabel Patricia Meister; Valeria Sperduti Lima; Gisele Grinevicius Garbe – Journal of Problem Based Learning in Higher Education, 2023
In this article, we presented our findings regarding an online project-based learning course, delivered to 64 students from the Federal University of Sao Paulo, Brazil, during the COVID-19 pandemic, in the second semester of 2021. The course had the goal of teaching Project Management by means of a competition (the Data Science Olympics). Our goal…
Descriptors: Competition, Active Learning, Student Projects, Data Science