EFFECT OF ARTIFICIAL INTELLIGENCE-BASED INSTRUCTIONS ON ACADEMIC ACHIEVEMENT IN SCIENCE SUBJECTS IN OGBOMOSHO NORTH LOCAL GOVERNMENT, OYO STATE
Abstract
Nigerian secondary school students consistently do poorly in science classes. This is because they continue to use traditional teacher-centered teaching methods that don't take into account the unique needs of each student. This research looked into what happens to students' grades in Biology and Mathematics when they are taught using Artificial Intelligence (AI) in Ogbomosho North Local Government, Oyo State. The study used a quasi-experimental pretest– posttest approach with a control group that wasn't the same. The group was made up of senior secondary school II science students, and whole classes from four secondary schools were chosen. The Biology and Mathematics Achievement Test (BMAT) was used to gather information. Analysis of Covariance (ANCOVA) was used to look at the data, and pretest results were used as covariates. The significance level was set at 0.05.
Fields of Study & Subjects
Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive Learning
Educational Technology and Pedagogy
Publication details
- Journal / source
- International Journal of Research in Education Humanities and Commerce
- Volume
- 07
- Issue
- 01
- Pages
- 178–191
- Publication date
- 1 January 2026
- Language
- EN