Affect matters: Exploring the impact of feedback during mathematical tasks in an exploratory environment

Beate Grawemeyer, Manolis Mavrikis, Wayne Holmes, Alice Hansen, Katharina Loibl, Sergio Gutiérrez-Santos

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

3 Citations (Scopus)
5 Downloads (Pure)

Abstract

We describe a Wizard-of-Oz study that investigates the impact of different types of feedback on students’ affective states. Our results indicate the importance of matching carefully the affective state with appropriate feedback in order to help students transition into more positive states. For example when students were confused affect boosts and specific instruction seem to be effective in helping students to be in flow again. We discuss this and other effective ways to and implications for the development of our system and the field in general

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings
PublisherSpringer-Verlag London Ltd
Pages595-599
Number of pages5
Volume9112
ISBN (Print)9783319197722
DOIs
Publication statusPublished - 17 Jun 2015
Externally publishedYes
Event17th International Conference on Artificial Intelligence in Education, AIED 2015 - Madrid, Spain
Duration: 22 Jun 201526 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9112
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Artificial Intelligence in Education, AIED 2015
CountrySpain
CityMadrid
Period22/06/1526/06/15

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Keywords

  • Artificial intelligence
  • Education
  • Feedback

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Grawemeyer, B., Mavrikis, M., Holmes, W., Hansen, A., Loibl, K., & Gutiérrez-Santos, S. (2015). Affect matters: Exploring the impact of feedback during mathematical tasks in an exploratory environment. In Artificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings (Vol. 9112, pp. 595-599). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9112). Springer-Verlag London Ltd. https://doi.org/10.1007/978-3-319-19773-9_70