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ZENODO
InteractiveResource . 2024
License: CC BY
Data sources: ZENODO
ZENODO
InteractiveResource . 2024
License: CC BY
Data sources: Datacite
ZENODO
InteractiveResource . 2024
License: CC BY
Data sources: Datacite
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CodeRefinery - Train the trainer materials

Authors: CodeRefinery;

CodeRefinery - Train the trainer materials

Abstract

Do you teach the use of computers and computational tools? Are you curious about scaling your training and learn about tested and proven practices from CodeRefinery workshops and other trainers? The CodeRefinery train the trainer workshop materials are centered on four self-contained sessions on tools and techniques for computational training offer a great chance to enhance your teaching skills and learn about new tools and practices. What you will learn is also used a lot outside CodeRefinery, whenever good beginner friendly training is needed. Learning objectives: Learn about tools and techniques and practice to create engaging online teaching experiences (screenshare, audio, etc.). Become mentally ready to be an instructor in a collaborative interactive online workshop (not only large workshops but in general). Learn how to design and develop lesson material collaboratively. Target audience: Everyone teaching online workshops about computational topics or interested in teaching. Previous and future instructors and helpers of CodeRefinery workshops. Prerequisites: An interest in teaching.Materials are available: https://coderefinery.github.io/train-the-trainer/ 

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average