A review of student modeling techniques in intelligent tutoring systems

Harrison Brent, David L. Roberts

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we survey techniques used in intelligent tutoring systems (ITSs) to model student knowledge. The three techniques that we review in detail are knowledge tracing, performance factor analysis, and matrix factorization. We also briefly cover other techniques that have been used. This review is meant to be a repository of knowledge for those who want to integrate these techniques into serious games. It is also meant to increase awareness and interest as to the techniques available that can be integrated into serious games.

Original languageEnglish
Title of host publicationHuman Computation in Digital Entertainment and Artificial Intelligence for Serious Games - Papers from the 2012 AIIDE Joint Workshop, Technical Report
Pages61-66
Number of pages6
StatePublished - 2012
Event8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012 Joint Workshop - Stanford, CA, United States
Duration: Oct 8 2012Oct 8 2012

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-12-17

Conference

Conference8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012 Joint Workshop
Country/TerritoryUnited States
CityStanford, CA
Period10/8/1210/8/12

ASJC Scopus subject areas

  • General Engineering

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