Providing adaptive support to the understanding of instructional material

C. Conati, Kurt VanLehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

We present an adaptive interface designed to provide tailored support for the understanding of written instructional material. The interface relies on a user model based on a Bayesian network, that assesses users' understanding as users read the instructional material and try to understand it by generating explanations to themselves. The user model's assessment is used by the interface to generate tailored scaffolding of further user's explanations that can improve the user's comprehension. After illustrating how the Bayesian user model assesses understanding from the user's explanations and from latency data on the user's attention, we discuss initial results on the effectiveness of the interface's adaptive interventions.

Original languageEnglish (US)
Title of host publicationInternational Conference on Intelligent User Interfaces, Proceedings IUI
Pages41-47
Number of pages7
StatePublished - 2001
Externally publishedYes
Event2001 International Conference on Intelligent User Interfaces (IUI 2001) - Santa Fe, NM, United States
Duration: Jan 14 2001Jan 17 2001

Other

Other2001 International Conference on Intelligent User Interfaces (IUI 2001)
CountryUnited States
CitySanta Fe, NM
Period1/14/011/17/01

Keywords

  • Adaptive tutoring
  • Bayesian networks
  • Modeling attention
  • User modeling

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Providing adaptive support to the understanding of instructional material'. Together they form a unique fingerprint.

Cite this