ACM SIGCSE Bulletin · 1975 · 69 citations · 0 references
EducationComputer ScienceEducational AssessmentMathematics InstructionPedagogyProgramming LanguagesComputer Science EducationStudent Achievement AnalysisLearner Performance PredictionProgramming Instruction
Two regression equations are derived to predict grade and ability in an introductory FORTRAN course. College GPA, programming experience, and career orientation are shown to be significant positive predictors; working in groups and time spent on the course are unexpectedly shown to be negative correlates. The implications of these findings for methods of teaching programming are discussed.