Brain Type as a Programming Aptitude Predictor.
Authors: Coles, M. and Phalp, K.
Editors: Church, L.
Journal: PPIG
Pages: 10
Publisher: Psychology of Programming Interest Group
https://eprints.bournemouth.ac.uk/32096/
http://ppig.org/workshops/ppig-2016-27th-annual-workshop
Source: DBLP
Brain Type as a Programming Aptitude Predictor.
Authors: Coles, M. and Phalp, K.T.
Editors: Church, L.
Conference: PPIG 2016 - 27th Annual Workshop
Publisher: Psychology of Programming Interest Group
Abstract:This study investigates the effect of brain type (SQ minus EQor E-STheory) on first year students’results of learning computer programming. It is anecdotally believed that a relatively high proportion of Computing students have high Systematizing (S) but lower Empathizing (E) personality factors and that this may be a contributing factor in student choice of subject, learning styles, and aptitude for learning to program. Two years of data are reported here, with EQ and SQ-R questionnaires being completed before any first year undergraduate teaching. The brain type of each student is calculated and compared to their final programming unitperformance. There is some evidence that choice of degree subject may be related to brain type, but no evidence is found of a correlation between a male brain type (Type S or Extreme Type S) and programming aptitude.
https://eprints.bournemouth.ac.uk/32096/
http://ppig.org/workshops/ppig-2016-27th-annual-workshop
Source: BURO EPrints