Title:
Measuring Human Intelligence with Artificial Intelligence
Measuring Human Intelligence with Artificial Intelligence
dc.contributor.author | Embretson, Susan E. | |
dc.contributor.corporatename | Georgia Institute of Technology. School of Psychology | |
dc.date.accessioned | 2010-07-28T18:33:55Z | |
dc.date.available | 2010-07-28T18:33:55Z | |
dc.date.issued | 2004 | |
dc.description.abstract | Adaptive item generation may be the next innovation in intelligence testing. In adaptive item generation, the optimally informative item is developed anew for the examinee during the test. Reminiscent of computer versus person chess games, the computer generates the next item based on the previous pattern of the examinee's responses. Adaptive item generation requires the merger of two lines of research, psychometric methods for adaptive testing and a cognitive analysis of items. | en_US |
dc.identifier.citation | Embretson, S. E. (2004). Measuring human intelligence with artificial intelligence: Adaptive item generation. In R. J. Sternberg & J. Pretz (Eds.). Cognition and Intelligence. New York: Cambridge University Press, pp. 251-267. | en_US |
dc.identifier.isbn | 521534798 | |
dc.identifier.uri | http://hdl.handle.net/1853/34255 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.publisher.original | Cambridge University Press | |
dc.subject | Intelligence testing | en_US |
dc.subject | Adaptive item generation | en_US |
dc.subject | Adaptive testing | en_US |
dc.title | Measuring Human Intelligence with Artificial Intelligence | en_US |
dc.type | Text | |
dc.type.genre | Book Chapter | |
dspace.entity.type | Publication | |
local.contributor.author | Embretson, Susan E. | |
local.contributor.corporatename | College of Sciences | |
local.contributor.corporatename | School of Psychology | |
relation.isAuthorOfPublication | 19f0fa71-2cea-4ce0-851b-e019cc56c45a | |
relation.isOrgUnitOfPublication | 85042be6-2d68-4e07-b384-e1f908fae48a | |
relation.isOrgUnitOfPublication | 768a3cd1-8d73-4d47-b418-0fc859ce897d |