USING DEMOGRAPHIC, SOCIOECONOMIC, AND ACCESS FACTORS TO PREDICT STUDENT ATTITUDES TOWARD COMPUTER-BASED LEARNING TECHNOLOGY IN A SAUDI NURSING EDUCATIONAL PROGRAM
The purpose of this study was to examine the attitudes of baccalaureate degree-seeking student nurses’ attitudes toward computer usage at the College of Nursing at King Saud University (KSU), Riyadh, Saudi Arabia. Specifically, the study has been designed to investigate the influence of gender, age, socioeconomic status, academic classification, grade point average, and mandatory computer classes on students’ attitudes toward computer usage. In this study, the independent variables are gender, age, socioeconomic status, academic classification, grade point average, length of previous computer experience before enrolling in KSU, access to computers outside of KSU, number of household members who use the household’s computer, marital status, geographical region of the nation that is considered to be home for the students and mandatory computer classes. The dependent variable is attitudes toward computer use as selfreported by students in the College of Nursing at KSU. The measure that will be used to determine the students’ attitudes is a four-point Likert-like scale consisting of 40 items distributed among four 10-item subscales that measure computer anxiety, computer confidence, attitude toward computers, and perceptions of the usefulness of computers
