IMPACT OF E-LEARNING PLATFORMS ON STUDENTS’ INTEREST AND ACADEMIC ACHIEVEMENT IN DATA STRUCTURE COURSE

Abstract

The study examined the impact of e-learning platforms on students’ interest and academic achievement in a Data Structure course. A total of 50 Computer Science students enrolled in the course at the tertiary institution level participated in the study. The sample was divided into two groups: an experimental group (n = 25) and a control group (n = 25). The Experimental Group (EG) was taught using an e-learning platform, while the Control Group (CG) received instruction through the traditional classroom approach. An achievement test on Data Structure was administered as both a pre-test and a post-test to the two groups, and the hypotheses were tested using ANOVA. The post-test results revealed a statistically significant difference in academic achievement between the experimental group and the control group, in favor of the experimental group after the treatment. The mean score of the EG was statistically higher than that of the CG, indicating that the EG outperformed the CG. Furthermore, the findings showed that the use of e-learning platforms had a statistically significant effect on the learning interest of the EG after the treatment. In conclusion, the study recommends that the use of e-learning platforms should be encouraged in teaching and learning. However, the transition to full adoption should be gradual to enable effective adjustment by both students and educators.