The interplay between affect and engagement in classrooms using AIED software

Arnon Hershkovitz, Ryan S.J.D. Baker, Gregory R. Moore, Lisa M. Rossi, Martin Van Velsen

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

Abstract

Affect has been hypothesized to play a significant role in triggering engagement/disengagement during learning. In this paper, we study the inter-relationships between students' affect (boredom, confusion, frustration, engaged concentration) and their engaged and disengaged behaviors (off-task, on-task solitary, on-task conversation, gaming the system). We study these relationships in the context of four different software programs, involving students of different ages, in order to increase confidence in the generalizability of the findings. Understanding these relationships might assist in maintaining students' engagement over time.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
Pages587-590
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: 9 Jul 201313 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI

Conference

Conference16th International Conference on Artificial Intelligence in Education, AIED 2013
Country/TerritoryUnited States
CityMemphis, TN
Period9/07/1313/07/13

Keywords

  • Affect
  • Disengagement
  • Quantitative field observations

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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