Self-Regulation of Learning with Multiple Representations in Hypermedia

Jennifer Cromley, Roger Azevedo, Evan Olson

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

Abstract

A body of research has demonstrated when multiple representations of content help students learn. Few studies, however, have used process measures to understand what different cognitive processes students enact when learning from different representations. We collected pretest, posttest, think-aloud, and video data from 21 undergraduate students learning about the human circulatory system using a hypermedia encyclopedia. We measured learning as a change in a participant's mental model of the circulatory system from pretest to posttest. Students who learned more tended to spend less time in Text. While viewing Text alone, amount of learning was most strongly associated with verbalizing a smaller proportion of Feeling of Knowing, Free Search, and Selecting a New Informational Source. For Text + Diagrams, the amount of learning was most strongly associated with verbalizing a larger proportion of Inference and Self-Questioning. For Animation, the only significant variable was Summarizing. When not using the hypermedia environment, the significant variables were Feeling of Knowing, Prior Knowledge Activation, and Taking Notes. We close with implications for designing hypermedia environments for learning about complex science topics.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education
Subtitle of host publicationSupporting Learning through Intelligent and Socially Informed Technology
EditorsChee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
PublisherIOS Press BV
Pages184-191
Number of pages8
ISBN (Electronic)1586035304, 9781586035303
StatePublished - 2005
Externally publishedYes
Event12th International Conference on Artificial Intelligence in Education, AIED 2005 - Amsterdam, Netherlands
Duration: Jul 18 2005Jul 22 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume125
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference12th International Conference on Artificial Intelligence in Education, AIED 2005
Country/TerritoryNetherlands
CityAmsterdam
Period7/18/057/22/05

ASJC Scopus subject areas

  • Artificial Intelligence

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