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#Quick Start

1. Download the latest release [here] (https://github.com/ml-smores/fast/releases).
2. Decompress the file. It includes sample data for getting you started quickly.
3. Open a terminal and type the following (Note that "++" is needed for specifying the ".conf" file, and input/ is the directory where the ".conf" file resides):
   java -jar fast-2.1.1-final.jar ++data/IRT_exp/FAST+IRT1.conf

Congratulations! You just trained a student model (with student and item features) using state of the art technology.

For Getting a quick walk-through, please check our tutorial slides on 2015 EDM SMART tutorial.

For knowing more about the configuration variables, you can type:
java -jar fast-2.1.1-final.jar -help

In addition, we have a local version tailored to real-world systems performing the online update (predicting observations and updating knowledge inference one by one rather than in a batch mode). Please don't hesitate to contact us if you need it.

Please cite our work (and provide the link https://github.com/ml-smores/fast) if you use our tool in your published papers: González-Brenes, J. P., Huang, Y., & Brusilovsky, P. (2014). General features in knowledge tracing: applications to multiple subskills, temporal item response theory, and expert knowledge. In Proc. 7th Int. Conf. on Educational Data Mining (pp. 84-91).