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Research Article

Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety

T. Meixnera Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona, USAORCID Iconhttps://orcid.org/0000-0002-8567-9635
ORCID Icon,
B. Ciancarellia Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona, USA
,
E. P. Farrellb School of Earth and Environmental Sciences, City University of New York, Queens College, Queens, New York, USA
,
D. Silva Garcíab School of Earth and Environmental Sciences, City University of New York, Queens College, Queens, New York, USA
,
T. Josekc Beckman Institute, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
,
M. M. Kellyd Arrupe College, Loyola University Chicago, Chicago, Illinois, USA
,
P. Meistere Department of Geography, Geology, and the Environment, Illinois State University, Normal, Illinois, USA
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D. Souleb School of Earth and Environmental Sciences, City University of New York, Queens College, Queens, New York, USA;f Earth and Environmental Sciences, City University of New York Graduate Center, New York City, New York, USA
&
R. Darnerg Center for Mathematics, Science, & Technology, Illinois State University, Normal, Illinois, USACorrespondence[email protected]
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Received 22 Jul 2022, Accepted 18 Mar 2023, Published online: 29 Mar 2023

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