Abstract
This study was motivated by the desire to help potential electronics students answer the questions, 1) which program of study should I consider?; 2) how do I know if I'll be successful in that program? This study focused on: 1) identifying the best variables for predicting academic success in electronics, 2) determining if abstract learning preference is an effective discriminator between the three main types of electronics programs, and 3) finding a model for predicting success in each electronic program. The results give validity to the commonly held opinion that a student's success in math and science in high school is a good predictor of their success in the three programs of electronics. The results also show that abstract learning preference is a valid discriminator between students in each of the three programs of electronics. Implications are provided.
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