Personalized expert skeleton scaffolding in concept map construction

Shang Wang, Erin Walker, Rishabh Chaudhry, Ruth Wylie

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

Abstract

Concept maps have been widely used in educational contexts to facilitate meaningful learning. Recent research has examined how concept mapping tools assist students in summarizing, relating, and organizing concepts. Our goal is to explore how personalized scaffolding can be applied to concept map construction. We provide personalized scaffolding in the form of an adaptive expert skeleton map based on student prior knowledge. We conducted a study comparing the adaptive map to a fixed map and to unscaffolded concept mapping. In an exploratory analysis, we examine the possible impacts of adaptive scaffolding on student learning processes.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings
EditorsCristina Conati, Neil Heffernan, Antonija Mitrovic, M. Felisa Verdejo
PublisherSpringer Verlag
Pages808-811
Number of pages4
ISBN (Print)9783319197722
DOIs
StatePublished - 2015
Event17th International Conference on Artificial Intelligence in Education, AIED 2015 - Madrid, Spain
Duration: Jun 22 2015Jun 26 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

Other

Other17th International Conference on Artificial Intelligence in Education, AIED 2015
CountrySpain
CityMadrid
Period6/22/156/26/15

Keywords

  • Adaptive scaffolding
  • Concept maps
  • Expert skeleton maps

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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