The affective meta-tutoring project: Lessons learned

Kurt Vanlehn, Winslow Burleson, Sylvie Girard, Maria Elena Chavez-Echeagaray, Javier Gonzalez-Sanchez, Yoalli Hidalgo-Pontet, Lishan Zhang

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

Abstract

The Affective Meta-Tutoring system is comprised of (1) a tutor that teaches system dynamics modeling, (2) a meta-tutor that teaches good strategies for learning how to model from the tutor, and (3) an affective learning companion that encourages students to use the learning strategy that the meta-tutor teaches. The affective learning companion's messages are selected by using physiological sensors and log data to determine the student's affective state. Evaluations compared the learning gains of three conditions: the tutor alone, the tutor plus meta-tutor and the tutor, meta-tutor and affective learning companion.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages84-93
Number of pages10
Volume8474 LNCS
ISBN (Print)9783319072203
DOIs
StatePublished - 2014
Event12th International Conference on Intelligent Tutoring Systems, ITS 2014 - Honolulu, HI, United States
Duration: Jun 5 2014Jun 9 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8474 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Intelligent Tutoring Systems, ITS 2014
Country/TerritoryUnited States
CityHonolulu, HI
Period6/5/146/9/14

Keywords

  • affective learning companion
  • affective physiological sensors
  • learning strategies
  • meta-tutoring
  • Tutoring

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'The affective meta-tutoring project: Lessons learned'. Together they form a unique fingerprint.

Cite this