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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
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Cai, Xizhen; Wang, Qing – Journal of Statistics Education, 2020
To incorporate active learning and cooperative teamwork in statistics classroom, this article introduces a creative three-dimensional educational tool and an in-class activity designed for introducing the topic of agglomerative hierarchical clustering. The educational tool consists of a simple bulletin board and color pushpins (it can also be…
Descriptors: Active Learning, Class Activities, Teaching Methods, Statistics Education
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Kilty, Trina; Burrows, Andrea; Welsh, Kate; Kilty, Kevin; McBride, Shawna; Bergmaier, Philip – Journal of Technology and Science Education, 2021
An authentic, interdisciplinary, research and problem-based integrated science, technology, engineering, and mathematics (STEM) project may be ideal for encouraging scientific inquiry and developing teamwork among undergraduate students, but it also presents challenges. The authors describe how two interdisciplinary teams (n=6) of undergraduate…
Descriptors: Interdisciplinary Approach, STEM Education, Undergraduate Students, Preservice Teachers