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Download full textJohnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Direct linkHsu, Pei-Ling; van Eijck, Michiel; Roth, Wolff-Michael – International Journal of Science Education, 2010
Working at scientists' elbows is one suggestion that educators make to improve science education, because such "authentic experiences" provide students with various types of science knowledge. However, there is an ongoing debate in the literature about the assumption that authentic science activities can enhance students' understandings…
Descriptors: Foreign Countries, Science Instruction, Job Shadowing, Informal Education
