Finding essential complexity for learning in virtual worlds

Benjamin E. Erlandson, Brian Nelson, Andre R. Denham

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

Abstract

This theoretical paper introduces one possible avenue for measuring learner performance in virtual worlds, intended to leverage these virtual worlds as learning systems that can provide individualized learning experiences at an appropriate level of complexity for any given learner. First, we extensively define essential complexity. Then, we describe an assessment framework for finding this essential complexity in a virtual world, using a variety of embedded measurement techniques.

Original languageEnglish (US)
Title of host publicationLearning in the Disciplines: ICLS 2010 Conference Proceedings - 9th International Conference of the Learning Sciences
Pages300-301
Number of pages2
Volume2
StatePublished - 2010
Event9th International Conference of the Learning Sciences, ICLS 2010 - Chicago, IL, United States
Duration: Jun 29 2010Jul 2 2010

Other

Other9th International Conference of the Learning Sciences, ICLS 2010
CountryUnited States
CityChicago, IL
Period6/29/107/2/10

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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