INTEGRATION ON SECONDARY EXAMINING THE EFFECT OF ARTIFICIAL INTELLIGENCE SCHOOL STUDENTS’ ACADEMIC PERFORMANCE AND ENGAGEMENT IN BIOLOGY IN TARABA STATE.

Umoru, Susan Ene Ph.D  & Abdulraham Bello

ABSTRACT

This study investigated the effect of artificial intelligence on students’ academic performance and engagement in Biology. Two research questions and two hypotheses guided the study. A Quasi experimental design specifically, the non-equivalent control group type was adopted for the study. One hundred and forty three (143) SS11 students drawn using simple random sampling was used a sample for the study. The experimental group was taught using artificial intelligence and the control group was taught using conventional method. The treatment lasted for eight weeks. Instrument for data collection was Biology performance Test (BPT) and Biology Engagement Questionnaire (BEQ), were used for pre-test and post-test. Mean and Standard Deviation was used to answer the research questions while Analysis of Covariance (ANCOVA) was used to test the hypotheses at 0.05 level significance. The findings of the study revealed that there was a significant main effect for instructional method on mean achievement of score of students in Biology F(1,143)=200.332,P <. 000, there was a statistical main difference in the engagement ratings of students in Biology. In line with the findings, the educational implications of the findings were highlighted and recommendations were equally proffered amongst others artificial intelligence proved effective in teaching Biology and enhancing students’ engagement in the lesson, teachers should strive to use this method more often, Biology teachers should be trained on how to involve students more during instructions (that is, how to use Artificial Intelligence) so as to facilitate students’ performance and engagement in the lesson. This could be achieved through seminars and workshops for teachers in secondary schools.