Employing speech to contribute to modelling and adapting to students' affective states

Beate Grawemeyer, Manolis Mavrikis, Alice Hansen, Claudia Mazziotti, Sergio Gutierrez-Santos

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

1 Citation (Scopus)

Abstract

Affect plays a significant role in students' learning behaviour. Positive affective states can enhance learning, while negative ones can inhibit it. This paper describes how we provide intelligent support in a learning platform based on affect states. We discuss two components: an affective state detector to perceive affective states in speech during interaction with the platform; and an affective state reasoner to provide support, which aims at aligning the learner's personal goal with the learning task to evoke positive affective states for an enhanced learning experience.

Original languageEnglish
Title of host publicationOpen Learning and Teaching in Educational Communities - 9th European Conference on Technology Enhanced Learning, EC-TEL 2014, Proceedings
PublisherSpringer-Verlag Italia
Pages568-569
Number of pages2
ISBN (Electronic)978-3-319-11200-8
ISBN (Print)978-3-319-11199-5
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event9th European Conference on Technology Enhanced Learning, EC-TEL 2014 - Graz, Austria
Duration: 16 Sept 201419 Sept 2014
Conference number: 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8719 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th European Conference on Technology Enhanced Learning, EC-TEL 2014
Abbreviated titleEC-TEL
Country/TerritoryAustria
CityGraz
Period16/09/1419/09/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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