Grade and ability predictions in an introductory programming course

1 June 1975

journal article
Published by Association for Computing Machinery (ACM) in ACM SIGCSE Bulletin

Vol. 7 (2) , 87-91
https://doi.org/10.1145/382205.382897

Abstract

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.

Keywords

NEGATIVE CORRELATE
CAREER ORIENTATION
TEACHING PROGRAMMING
SIGNIFICANT POSITIVE PREDICTOR
COLLEGE GPA
PROGRAMMING EXPERIENCE
ABILITY PREDICTION
REGRESSION EQUATION
INTRODUCTORY FORTRAN COURSE
INTRODUCTORY PROGRAMMING COURSE

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