Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ...
Learning in asynchronous online environments has gained importance over the last several decades, and educational environment shifts from the COVID-19 pandemic appear to have increased this need. Science educators and students need information about which approaches work in the asynchronous environm...
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Taylor & Francis
2023
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ftdatacite:10.6084/m9.figshare.22354947 2023-06-11T04:12:41+02:00 Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... Meixner, T. Ciancarelli, B. Farrell, E. P. García, D. Silva Josek, T. Kelly, M. M. Meister, P. Soule, D. Darner, R. 2023 https://dx.doi.org/10.6084/m9.figshare.22354947 https://tandf.figshare.com/articles/journal_contribution/Asynchronous_student_engagement_in_analysis_of_climate_data_achieves_learning_objectives_related_to_climate_change_understanding_statistical_competence_and_climate_anxiety/22354947 unknown Taylor & Francis https://dx.doi.org/10.1080/10899995.2023.2193810 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences Science Policy Journal contribution article-journal Text ScholarlyArticle 2023 ftdatacite https://doi.org/10.6084/m9.figshare.2235494710.1080/10899995.2023.2193810 2023-05-02T09:42:57Z Learning in asynchronous online environments has gained importance over the last several decades, and educational environment shifts from the COVID-19 pandemic appear to have increased this need. Science educators and students need information about which approaches work in the asynchronous environment where informal feedback tends to be reduced, compared to other teaching modalities. In this study, we asynchronously implemented a learning module across 5 institutions that guided students (N = 199) from prescriptive data analysis through guided inquiry and eventually to open inquiry. The module focuses on the science behind climate change. Students work with the same authentic data sets used by professional scientists to examine geologic history and causes of climate change. By analyzing contemporary atmospheric carbon dioxide and temperature data and then using the 800,000-year record available from the Vostok ice core proxy record of atmospheric properties, students identify the causes of climate change ... Text ice core DataCite Metadata Store (German National Library of Science and Technology) |
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Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences Science Policy |
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Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences Science Policy Meixner, T. Ciancarelli, B. Farrell, E. P. García, D. Silva Josek, T. Kelly, M. M. Meister, P. Soule, D. Darner, R. Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
topic_facet |
Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences Science Policy |
description |
Learning in asynchronous online environments has gained importance over the last several decades, and educational environment shifts from the COVID-19 pandemic appear to have increased this need. Science educators and students need information about which approaches work in the asynchronous environment where informal feedback tends to be reduced, compared to other teaching modalities. In this study, we asynchronously implemented a learning module across 5 institutions that guided students (N = 199) from prescriptive data analysis through guided inquiry and eventually to open inquiry. The module focuses on the science behind climate change. Students work with the same authentic data sets used by professional scientists to examine geologic history and causes of climate change. By analyzing contemporary atmospheric carbon dioxide and temperature data and then using the 800,000-year record available from the Vostok ice core proxy record of atmospheric properties, students identify the causes of climate change ... |
format |
Text |
author |
Meixner, T. Ciancarelli, B. Farrell, E. P. García, D. Silva Josek, T. Kelly, M. M. Meister, P. Soule, D. Darner, R. |
author_facet |
Meixner, T. Ciancarelli, B. Farrell, E. P. García, D. Silva Josek, T. Kelly, M. M. Meister, P. Soule, D. Darner, R. |
author_sort |
Meixner, T. |
title |
Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
title_short |
Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
title_full |
Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
title_fullStr |
Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
title_full_unstemmed |
Asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
title_sort |
asynchronous student engagement in analysis of climate data achieves learning objectives related to climate change understanding, statistical competence, and climate anxiety ... |
publisher |
Taylor & Francis |
publishDate |
2023 |
url |
https://dx.doi.org/10.6084/m9.figshare.22354947 https://tandf.figshare.com/articles/journal_contribution/Asynchronous_student_engagement_in_analysis_of_climate_data_achieves_learning_objectives_related_to_climate_change_understanding_statistical_competence_and_climate_anxiety/22354947 |
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ice core |
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ice core |
op_relation |
https://dx.doi.org/10.1080/10899995.2023.2193810 |
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Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.2235494710.1080/10899995.2023.2193810 |
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