Sample Selector

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:

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:

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".

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External Tools /
BKT Brute Force/Grid Search
Description:
A toolkit for Bayesian Knowledge Tracing. Implements the Brute Force/Grid Search approach used in Baker et al. (2010, 2011a, 2011b, 2011c), Pardos et al. (2011, 2012), Gowda et al. (2011), and many other papers. This algorithm is approximately as effective as Expectation Maximization and runs faster.
Language:
Java
Contributor:
Ryan Baker
Added:
2013-07-06
Updated:
2013-07-06
Downloads:
144
Version 10.0.10 November 10, 2017