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Those with no reference to criteria were coded 0. Some responses made reference to the measurement task without further explanation (code 1), whereas most of the students drew connections with descriptions of events during the activity that could affect accuracy (code 2).
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Table 1 presents all belonging explanation codes.
After coding the transcripts, we compared individual students' explanation codes (i.e., movement of matter and chemical change in Oak Tree and Pound of Wood questions) with arguments of evidence codes (i.e., purpose of investigation and use of evidence in Karen and Mike questions) to identify a possible relationship between the two practices.
Unlike Javadocs, which provide a textual description of each API element individually, cookbooks provide solutions, including, besides textual explanation, source code examples possibly involving more than one API element to accomplish tasks.
These databases, as well as the ImPol database (Mezger and Gonzalez-Ferrer 2013), also provided a transparent explanation of coding systems and decisions.
Codes were complemented by memos, i.e., written explanations of codes or comments connecting various codes and insights.
Explanations were coded for structural and functional content, arrows, specific examples, and multiple representations.
Visual and verbal explanations were coded for depicting or describing structural and functional components.
Explanations were coded for structural and functional content, essential features, invisible features, arrows, and multiple steps.
Explanations were coded for structural and functional information, arrows, specific examples, and multiple representations.
The explanations were coded for the number of discrete steps used to explain the process of using the bike pump.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com