Gee's Learning Principles for Good Games: An Analysis of how Gee's Learning Principles meets Gardner's Theory of Multiple Intelligences

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dc.contributor.affiliationKellie Kong - University of Hawaii at Manoa
dc.contributor.affiliationElton Masaki - University of Hawaii at Manoa
dc.contributor.affiliationLyn Ackerman - University of Hawaii at Manoa
dc.contributor.affiliationClaire Borengasser - University of Hawaii at Manoa
dc.contributor.affiliationPeter Leong - University of Hawaii at Manoa
dc.contributor.authorKong, Kellie
dc.contributor.authorMasaki, Elton
dc.contributor.authorAckerman, Lyn
dc.contributor.authorBorengasser, Claire
dc.contributor.authorLeong, Peter
dc.date.accessioned2020-07-30T22:25:04Z
dc.date.available2020-07-30T22:25:04Z
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/10125/69232
dc.titleGee's Learning Principles for Good Games: An Analysis of how Gee's Learning Principles meets Gardner's Theory of Multiple Intelligences
dc.typeConference Paper
dcterms.abstractToday, gaming is a multi-billion dollar industry that produces games for children of all ages and backgrounds. The technology used for these video games has also been steadily evolving with improved gaming platforms and environments that captivate children and create an experience that is more realistic than any games that have been encountered previously. Children are intensely mesmerized by these games that they can play them for hours at a time. If it were possible for educators to harness the power of games and use them in an educational setting, gaming could potentially be a powerful tool for learning. James Paul Gee’s (2005) Learning Principles in Good Games shows the elements of what makes a “good” game. By analyzing the learning theory of Howard Gardner and Gee’s Learning Principles, educators can start to see how specific multiple intelligences could potentially be used in different elements of gaming. Practical implications of the findings are discussed.
dcterms.extent9 pages
dcterms.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dcterms.typeText

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