A new approach to testing children with autism spectrum disorder using affect

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

Abstract

In order to qualify for special education services, elementary school children with Autism Spectrum Disorder (ASD) are given a myriad of standardized tests. However, even when they have high cognitive abilities they often have difficulty answering test questions due to the nature of their disability. This causes them to underperform and not qualify for the services that would best suit their skills. The present proposal details a research plan to create an intelligent testing system that attempts to motivate the student upon detecting boredom and low levels of engagement.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
PublisherSpringer Verlag
Pages496-498
Number of pages3
ISBN (Print)9783319914633
StatePublished - 2018
Externally publishedYes
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: 11 Jun 201815 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Intelligent Tutoring Systems, ITS 2018
Country/TerritoryCanada
CityMontreal
Period11/06/1815/06/18

Keywords

  • Affective computing
  • Engagement Standardized testing
  • Intelligent tutoring system autism spectrum disorder
  • Learner motivation

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