Mental models and programming aptitude

Abstract

Predicting the success of students participating in introductory programming courses has been an active research area for more than 25 years. Until recently, no variables or tests have had any significant predictive power. However, Dehnadi and Bornat claim to have found a simple test for programming aptitude to cleanly separate programming sheep from non-programming goats. We briefly present their theory and test instrument.