Encouraging students to study more: Adapting feedback to personality and affective state

Matt Dennis*

*Corresponding author for this work

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

Abstract

My PhD investigates how a conversational agent can adapt feedback to the personality and affective state of learners in order to increase learner motivation. This paper provides an overview of the research area, research questions and work to date.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 15th International Conference, AIED 2011
Pages597-599
Number of pages3
DOIs
Publication statusPublished - 23 Jun 2011
Event15th International Conference on Artificial Intelligence in Education - Auckland, New Zealand
Duration: 28 Jun 20111 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6738 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Artificial Intelligence in Education
Abbreviated titleAIED 2011
Country/TerritoryNew Zealand
CityAuckland
Period28/06/111/07/11

Keywords

  • adaptation
  • Adaptive feedback
  • affective states
  • motivation

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