Web site logical path: [www.psy.gla.ac.uk] [~steve] [localed] [this page]
The general issue is why is introductory computing, particularly introductory programming, so hard. One paper, which dismisses the relevance of aptitude testing, is Tony Jenkins' recent paper "On the difficulty of learning to program" given to the ICS LTSN 2002 conference, and published here, and locally, and more printably, here with my comments.
From:
Walden Personnel Testing and Consulting.
Includes: Wolfe-Spence Programming Aptitude Test
http://www.waldentesting.com/wolfe/wspat.htm
From: Psychometrics Inc.
Includes: Berger Aptitude for Programming Test (B-APT Form D)
http://www.psy-test.com/Baptd.html
From:
Sherwood Assessment
Includes: The Sherwood Technology Aptitide Test
http://www.sherwood-assessment.co.uk/stat/sample_questions.htm
From:
Bruce Winrow and Associates Consultants Inc.
Includes: International Programming Aptitide Test
http://www.winrowtesting.com/sample.htm
From:
APR (Applied Personnel Research) Testing Services
Includes: The Language-Free Programmer/Analyst Aptitude Test (LPAT)
http://www.personnelselection.com/programmer.htm
From:
Assessment Systems Corporation
Just a list of skills and aptitude tests on offer.
For example ....
"Fortunately, today we do have such an analysis of the SAT's value in
admissions decisions. Because our students have been taking the SAT I and the
SAT II for more than three decades, UC is perhaps the only university in the
country that has a database large enough to compare the predictive power of
the SAT I with that of the achievement-based SAT II tests. UC researchers Saul
Geiser and Roger Studley have analyzed the records of almost 78,000 freshmen
who entered UC over the past four years. They concluded that the SAT II is, in
fact, a better predictor of college grades than the SAT I. The UC data show
that high school grades plus the SAT II account for about 21 percent of the
explained variance in first-year college grades. When the SAT I is added to
high school grades and the SAT II, the explained variance increases from 21
percent to 21.1 percent, a trivial increment. "
Fincher, S., Baker, B., Box, I., Cutts, Q., de Raadt, M., Haden, P., Hamer, J., Hamilton, M., Lister, R., Petre, M., Robins, A., Simon, Sutton, K., Tolhurst, D., Tutty, J. (2005) Programmed to succeed?: a multi-national, multiinstitutional study of introductory programming courses (Computing Laboratory Technical Report 1-05, University of Kent, Canterbury, UK)
Simon et al. (2006) "Predictors of success in a first programming course" Proceedings of the Eighth Australasian Computing Education Conference (ACE 2006) pp.189-196Ê (Hobart, Australia)
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