DIGITAL LIBRARY
A COMPUTATIONAL APPROACH FOR COGNITIVE PROFILE RECOGNITION SUPPORTED BY MULTIPLE INTELLIGENCES THEORY
University of São Paulo (BRAZIL)
About this paper:
Appears in: EDULEARN15 Proceedings
Publication year: 2015
Pages: 6801-6809
ISBN: 978-84-606-8243-1
ISSN: 2340-1117
Conference name: 7th International Conference on Education and New Learning Technologies
Dates: 6-8 July, 2015
Location: Barcelona, Spain
Abstract:
IT market in Brazil faces some problems with the absence of planning and constant projects delays. In this way, this situation creates for professionals an exceedingly demotivating workplace. It is expected that a thing that could certify this issue would be the inadequate instructive education of people who work in this segment, particularly those identified with administration positions. As indicated by Edgard Morin, for instance, concerning both elementary, secondary or university school levels, instructive aspects can be viewed as insufficient precisely because, when focusing on an isolated information apprenticeship, they promote an individual alianation, killing their innovative and creative intelligence. It would be intriguing, in this manner, that an individual cognitive capacity assessment considers numerous sorts of information types in rather than few ones.

The hypothesis of Multiple Intelligences by Howard Gardner comes against this need. As indicated by the author, an individual insight ought to be measured over a scope of nine spectra: Linguistic, Musical, Logical-Mathematical, Spatial, Bodily- Kinesthetic, Interpersonal, Intrapersonal, Naturalist and Existential.

Along these lines, this work discusses about a computational strategy for classification and pattern reconignition in people, considering both college understudies or graduated experts in a particular area.
Keywords:
Multiple intelligences, grouping, clustering, pattern recognition.