Computer-aided Instruction as a key to sustain continuous teaching and learning during the COVID-19 pandemic in Kano State Public Universities

Abdulaziz Bello¹ , Ibrahim Adamu Usman² , Tanimu Bala³

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.10 , pp.21-29, Oct-2024

Online published on Oct 31, 2024

Copyright © Abdulaziz Bello, Ibrahim Adamu Usman, Tanimu Bala . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Conventional educational systems were affected by the COVID-19 pandemic all over the world, including public universities in Kano State, where students had to sit through extended periods of academic inactivity. This disruption made clear the necessity for permanent, alternate teaching strategies to guarantee ongoing instruction in times of emergency. This study examines the efficacy of the Computer Aided Instruction (CAI) approach in addressing this issue and evaluates its capacity to maintain continuous learning both during and after the pandemic. The study employed an experimental research design to assess CAI`s effect on students` learning outcomes. They were using Morgan`s sample size determination technique. A sample of 360 students was selected from a population of 5,000 enrolled in three public universities in Kano State using Morgan`s sample size determination technique. Two groups of students were randomly assigned to each group: one for experimentation using CAI to deliver teaching, and the other for control using conventional techniques. Assessments of the students` performance were done both before and after the test. The data obtained was analyzed using SPSS, which included independent-sampled t-tests and descriptive statistics. The findings revealed a noteworthy enhancement in the experimental group`s academic performance relative to the control group (p < 0.05), indicating the efficacy of CAI in fostering ongoing learning. These results highlight how important CAI is to preserving academic advancement in the face of interruptions. To improve students` learning resilience in the event of future calamities, the study suggests including CAI in university curricula.

Key-Words / Index Term :
Computer Aided Instruction (CAI), Continuous learning, COVID-19 pandemic, Public universities, Experimental design, Sustainable education

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