The problem list page lists all problems in dataset, grouped by problem hierarchy,
which is a unique hierarchy of curriculum levels containing the problem (e.g., a problem might be
contained in a Unit A, Section B hierarchy).
This page is most useful for seeing which particular problems have
problem content stored: any problem
name shown as a hyperlink will link to the content that students saw when they interacted
with that problem. You can also filter on problems with or without problem content, and search
Download all of the problem content associated with the dataset by clicking the
Download Problem Content button. The format of the download is
a single .zip file containing a hierarchy of .html and web content files (e.g., images, videos, audio).
The exact hierarchy of this file differs depending on the source of the problem content.
Sample Selector is a tool for creating and editing
samples, or groups of data you compare across—they're
not "samples" in the statistical sense, but more like filters.
By default, a single sample exists: "All Data". With the Sample
Selector, you can create new samples to organize your data.
You can use samples to:
Compare across conditions
Narrow the scope of data analysis to a specific time range,
set of students, problem category, or unit of a curriculum (for example)
A sample is composed of one or more filters, specific
conditions that narrow down your sample.
Creating a sample
The general process for creating a sample is to:
Add a filter from the categories at the left to the composition
area at the right
Modify the filter to select the subset of data you're interested
in, saving it when done
View the sample preview table to see the effect of adding your filter,
making sure you don't have an empty set (ie, a filter or combination
of filters that exclude all transactions).
Name and describe the sample
Decide whether to share the sample with others who can view the
Save the sample
The effect of multiple filters
DataShop interprets each filter after the first as an additional
restriction on the data that is included in the sample. This is also known
as a logical "AND". You can see the results of multiple filters in the
sample preview as soon as all filters are "saved".