IJCIRISSN 1996-1065 [Online]
ISSN 1818-1139 [PRINT]

Volume 3 (2) 2009

Title:	Correlates of Computer Attitude among Secondary School Students in Lagos State, Nigeria
Authors:	ADEBOWALE, O.F, ADEDIWURA, A.A & Bada, T. A*
Published:	©IJCIR Vol3(2) 2009, pp. 20-30
Language:	English

Abstract:
Research have been conducted to study students’ attitude towards the computer [computer attitudes], their computer self efficacy and computer anxiety separately. This study was specifically targeted at determining if socio-demographic variables like gender, age and field of study had any effect on these computer parameters among secondary school students. It also explored the possibility of been able to predict students’ computer characteristics from computer efficacy, computer anxiety and demographic variables. 600 students were selected by proportionate sampling from the Senior Secondary class III [SS III] of six secondary schools equipped with 40 micro-computer-fitted laboratories by the Nigerian [Lagos state] government. The instrument for the study consisted of two types of questionnaires, one titled
“Questionnaire on the computer attitude” was used to obtain a measure of students’ computer attitude while another titled “Questionnaire on students computer self efficacy and computer anxiety” was used to measure their computer self efficacy and computer anxiety. The questionnaires were administered by their ICT teachers under the supervision of the researchers. Data analyses were by using t-test, ANOVA, Posthoc tests and multiple regression. The results showed that gender had no significant influence on any of the three parameters but age seems to affect computer attitude and computer anxiety. Students in the vocational and commercial fields of study had better attitude towards the computer than those in the sciences and arts. In terms of predicting students computer attitudes, fields of study, computer self efficacy, gender and very low levels of computer anxiety were found to be the significant predictors of computer attitude.
Categories and Subject Descriptors: J [Computer Applications] J.4 Social and Behavioral Sciences – Psychology.
General Terms: Computer attitude, Computer self efficacy, computer anxiety.
Additional Keywords and Phrases: Computer characteristics, socio-demographic variables, field of studies, students’ attitude toward the computer. View full Article