Automated Tests for Measuring Cognition and Aptitude in Introductory Programming

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Avanceña, A.T. & Nishihara, A. (2010). Automated Tests for Measuring Cognition and Aptitude in Introductory Programming. In Z. Abas et al. (Eds.), Proceedings of Global Learn 2010 (pp. 3371-3379). AACE.
Retrieved from http://www.editlib.org/p/34407.

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Conference Information

Global Learn (Global Learn) 2010
Penang, Malaysia
May 17, 2010
ISBN 1-880094-79-7
  Zoraini Wati Abas, Insung Jung & Joseph Luca
AACE

More Information on Global Learn
Table of Contents

Authors

Aimee Theresa Avanceña, Akinori Nishihara, Tokyo Institute of Technology, Japan

Abstract

The poor performance of students in introductory Computer Science courses has instigated studies on how to determine programming aptitude. These studies aim to expand the selection process and to predict success of students in computing. Automated tests based on four cognitive factors and on six algorithms were created. The goal was to determine which among these tests measure aptitude and predict success in programming. The initial version of the tests was implemented in 2007 among students who have taken the introductory programming and algorithm courses at the Ateneo de Manila University in the Philippines. The scores in the algorithm tests were correlated with those of the cognitive tests and a number of correlations were obtained.

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