ACADEMIC PERFORMANCE OF TECHNICAL COLLEGE STUDENTS IN ELECTRICAL INSTALLATION AND MAINTENANCE WORK USING COMPUTER AIDED INSTRUCTION (CAI)

  • K R E Okoye Nnamdi Azikiwe University, Awka
  • Nnaemeka Martin Agbo Nnamdi Azikiwe University, Awka
Keywords: Computer aided instruction, academic performance, Electrical Installation and Maintenance Work

Abstract

This study investigated effect of Computer Aided Instruction on academic performance of technical college students in Electrical Installation and Maintenance Work in Enugu State. Two research questions and two null hypotheses guided the study. Quasi experimental research design was adopted for the study. The sample used for the study consisted of 22 NTC II students made up of 14 males and 8 females. Purposive sampling technique was used to select two schools from Udi and Enugu education zones. An intact class was used in each of the schools which were tagged experimental and control group respectively. The instrument used for data collection was a 50 objective questions developed by the researchers which was administered as pretest and posttest to the experimental and control groups respectively. Pearson correlation coefficient formula was used to establish the reliability of the instrument which yielded 0.81 coefficient reliability. The research questions were answered using mean scores whereas the hypotheses were analyzed using ANCOVA. The mean scores and ANCOVA were calculated using SPSS version 20. The finding showed that CAI significantly impacted on the students’ academic performance. In view of the finding, it was recommended among others that CAI should be formally adopted in technical colleges, secondary and vocational schools for instruction in Electrical Installation and Maintenance Work to improve academic performance of students.

Author Biographies

K R E Okoye, Nnamdi Azikiwe University, Awka

Vocational Education Department

Nnaemeka Martin Agbo, Nnamdi Azikiwe University, Awka

Vocational Education Department, Electrical/Electronics Technology Unit

Published
2018-12-14
Section
Articles