Searching for predictors of learning outcomes in non abstract eye movement logs

Janice D. Gobert, Ermal Toto, Michael Brigham, Michael Sao Pedro

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

Abstract

We present a study that addressed if providing students with scaffolding about how to integrate science text and animations impacts content learning. Scaffolding was delivered by a pedagogical agent and driven by student's eye gaze movements (compared to controls).We hypothesized that students in the pedagogical agent condition would engage in richer learning as evidence by a more integrated pattern from text to animation and back, etc. In addition to eye gazes we collected pre- and post test knowledge about the domain, and open responses to explanation-type questions. We are currently analyzing these data.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
PublisherSpringer Verlag
Pages799-802
Number of pages4
ISBN (Print)9783642391118
DOIs
StatePublished - 2013
Externally publishedYes
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: Jul 9 2013Jul 13 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Artificial Intelligence in Education, AIED 2013
Country/TerritoryUnited States
CityMemphis, TN
Period7/9/137/13/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Eye tracking
  • Pedagogical agent
  • Plate tectonics
  • Science learning

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