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Created: | Aug 06, 2020 at 8:27 p.m. | |
Last updated: | Aug 06, 2020 at 8:36 p.m. | |
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Abstract
The structure of our course is designed to mirror the structure of the interactive learning in a Jupyter Notebook. It’s just like a chemistry lab, we squeeze the Earth into a web browser shaped beaker, and turn on the team science bunsen burner. Each Section in the module is based on one experiment (or computational workflow) which replicates results available in a published journal article in collaboration with publication coauthors. Sub-sections have various themes, research question motivations, datasets, models, but each have one assessment focusing on skills to address Nested Learning Objectives identified by each Summary question. Sub-sections include: Introduction, Theoretical Background, Methods, Results, Discussion, Conclusion.
In the Experiments, we distinguish between cyberinfrastructure, data science, and geoscience domain methods. We also introduce Team Science (Convergence, Diversity, Inclusion, Equity) and Information Science elements in each Section (Findable, Accessible, Interoperable, Accessible).
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The content of this resource is derived from | https://github.com/ChristinaB/intelligent-earth |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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