Workshop Approaching Twenty Years of
    Knowledge Tracing (BKT20y)
Knowledge Tracing is an extremely popular method for student modeling because of its
capability to infer a student’s dynamic knowledge state in real time as the student is
observed solving a series of problems (Corbett & Anderson, 1995). After its
introduction in 1995, many extensions to the original technique have been proposed to
improve its predictive accuracy. Variants include: fitting model parameters to
individuals rather than populations (e.g., Lee & Brunskill, 2012; Yudelson, Koediger, &
Gordon, 2010), contextualizing model parameters based on past and current usage of
an intelligent tutoring system (Baker, Corbett, & Aleven, 2008, Baker et al., 2010;
GonzálezBrenes, 2014; Pardos et al., 2010) and on latent characteristics of students
and problems (Khajah et al, 2014), clustering similar students and sharing parameters
among them (Pardos et al, 2012), soft sharing of parameters via hierarchical Bayesian
inference (Beck & Chang, 2007; Beck, 2007), and considering knowledge state as a
continuous variable (SohlDickstein, 2013; Smith et al., 2004).

As we approach twenty years since the introduction of Knowledge Tracing, what
lessons have we learned? This workshop's motivation is to open the floor for the
discussion of the recent advances in Knowledge Tracing and student modeling in
general, take stock of the promises and failures of current approaches, and work
toward developing integrated approaches.

We gratefully acknowledge the following members of the workshop program
committee:
      Albert Corbett, Carnegie Mellon University
      Neil Heffernan, Worcester Polytechic Institute
      Zachary Pardos, University of California, Berkeley
      Steve Ritter, Carnegie Learning, Inc.


                                                  The BKT20y workshop organizers
                                                                 Michael Yudelson
                                                          José P. González-Brenes
                                                                    Michael Mozer