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".

Help
External Tools /
Fitting Bayesian Knowledge Tracing models at scale
Description:
Bayesian Knowledge Tracing is one of the most popular student modeling approaches in the field of Educational Data mining. It is in wide use in Intelligent Tutoring Systems community nowadays. This toolkit is an attempt to make fitting BKT models on BigData feasible. Attached please find Linux, and Mac executables. As well as tutorial slides (watch tutorial here http://goo.gl/2K5DO ). Sources can be found on GitHub at http://goo.gl/5DqpkW.
Language:
C/C++
Home page / External resource:
Contributor:
Michael Yudelson
Added:
2012-11-14
Updated:
2015-08-06
Downloads:
893

Files

Name Size Downloads Updated
2015 LearnLab Summer School hmmsclbl.pptx.pdf 997 KB 90 downloads 2015-08-06
inputconvert.lnx 55 KB 35 downloads 2015-07-14
inputconvert.mac 53 KB 33 downloads 2015-07-14
predicthmm.lnx 125 KB 34 downloads 2015-07-14
predicthmm.mac 141 KB 35 downloads 2015-07-14
readme.txt 15 KB 59 downloads 2015-07-14
trainhmm.lnx 145 KB 33 downloads 2015-07-14
trainhmm.mac 162 KB 37 downloads 2015-07-14
Version 9.4.4 August 2, 2017