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Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
Lewis, Elizabeth B.; van der Hoeven Kraft, Katrien J.; Watts, Nievita Bueno; Baker, Dale R.; Wilson, Meredith J.; Lang, Michael – International Journal of Science Education, 2011
This study focuses on elementary teachers' comprehension of flooding before and after inquiry-based professional development (PD). There was an improvement in teachers' understanding toward a normative view from pre- to post-test (n = 17, mean gain = 4.3, SD = 3.27). Several misunderstandings and a general lack of knowledge about flooding emerged…
Descriptors: Academic Discourse, Science Activities, Seminars, Prior Learning
Mays, David C. – Journal of Geoscience Education, 2010
This article describes a one-week introduction to stochastic groundwater modeling, intended for the end of a first course on groundwater hydrology, or the beginning of a second course on stochastic hydrogeology or groundwater modeling. The motivation for this work is to strengthen groundwater education, which has been identified among the factors…
Descriptors: Natural Resources, Water, Probability, College Science