Figure 1

Individual differences in rate of learning to program in Python through Codecademy. (A) Individual learning rates computed by regressing last lesson completed during each of 10 training sessions. Each color represents an individual participant, ordered according to the visual light spectrum, ranging from red for the fastest learner, through violet for the slowest. (B–D) Scatterplots depict the relation between rate of learning on Y axis and (B) Language aptitude as measured by the MLAT, (C) Numeracy, as measured by the Abbreviated Numeracy Scale, and (D) Fluid reasoning, as measured by the Raven’s Advanced Progressive Matrices.