computeSpacingPredictors

Compute repetition spacing time based features from input data CF..Time. and/or CF..reltime.
which will be automatically computed from Duration..sec. if not present themselves.

Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.

Philip I. Pavlik Jr.

Logistic Knowledge Tracing

Luke G. Eglington

computeSpacingPredictors function

<dl><dt>data</dt>
<dd>is a dataset with Anon.Student.Id and CF..ansbin.</dd>
<dt>KCs</dt>
<dd>are the components for which spaced features will be specified in LKT</dd></dl>

Arguments

computeSpacingPredictors — computeSpacingPredictors

<dl>

<dt>data</dt>
<dd>is a dataset with Anon.Student.Id and CF..ansbin.</dd>


<dt>KCs</dt>
<dd>are the components for which spaced features will be specified in LKT</dd>

</dl>

computeSpacingPredictors: computeSpacingPredictors

Description

Usage

Value

Arguments