Intelligent Tutoring Systems for Continuous, Embedded Assessment

Research output: Chapter in Book/Report/Conference proceedingChapter

19 Scopus citations

Abstract

This chapter describes how intelligent tutoring systems (ITS) can be used for assessment. It begins by describing intelligent tutoring systems and distinguishing them from an older, more widely available technology. It argues that this newer technology has some intrinsic benefits as a tool for assessment. It then describes a particular type of assessment widely used in the ITS community. The assessment technique is based on a mathematically sound inference method, Bayesian belief networks. The basic technique, an adaptation of Knowledge Tracing (Corbett & Anderson, 1995), is described along with several recent extensions.

Original languageEnglish (US)
Title of host publicationThe Future of Assessment
Subtitle of host publicationShaping Teaching and Learning
PublisherTaylor and Francis
Pages113-138
Number of pages26
ISBN (Electronic)9781351544429
ISBN (Print)9780805863970
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

ASJC Scopus subject areas

  • Social Sciences(all)

Fingerprint

Dive into the research topics of 'Intelligent Tutoring Systems for Continuous, Embedded Assessment'. Together they form a unique fingerprint.

Cite this