Ellick L. Ruffin
Published: 2000
Total Pages: 234
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Investigates the relationship between demographic variables and student attitudes toward computer-aided instruction (CAI). Selected demographic variables were mathematics aptitude, level of education, rank, race, gender, age, computer-related experience, computer science experience, and attitude toward computers. Studies group differences and profiles of students according to attitudes toward computers and CAI. Uses the General Linear Model to show variables such as average daily exposure to computers and computer science courses. Regression models show that attitude toward computers, average daily exposure to computers, race and computer science courses respectively serve as the best predictors of attitude toward CAI in a single variable model.