EXPLORING THE RELATIONSHIP BETWEEN AI-POWERED PERSONALIZED LEARNING SYSTEMS AND STUDENTS’ ACADEMIC MOTIVATION IN SECONDARY SCHOOLS IN ANAMBRA STATE.

Abstract

This study investigated the relationship between AI-powered personalized learning systems and 
students’ academic motivation in secondary schools in Anambra State. The study was guided by 
three research questions and three hypotheses were tested at 0.05 level of significance. The study 
adopted a correlational research design. The population of the study comprised all the 12,189 SSS 
two students in 269 public secondary schools in Anambra State. Multistage sampling procedure 
was used to draw 234 SSS two students for the study. A researcher developed instruments titled 
“AI-Powered Personalized Learning Systems Questionnaire (APPLSQ) and “Students’ Academic 
Motivation Questionnaire (SAMQ)” were used for data collection. The instruments were validated 
by three experts, two from the Department of Educational Management and Policy, and one from 
the Department of Educational Foundations, Nnamdi Azikiwe University. Cronbach alpha was 
used for a test of internal consistencies of the instruments which yielded coefficient values of 0.82 
for APPLSQ and 0.82 for SAMQ respectively. The researchers together with three research 
assistants collected data for the study using the direct delivery method which yielded 99% return. 
Pearson Product Moment Correlation Coefficient was used to answer research questions and test 
hypotheses. The results of the study revealed among others that there is a strong and significant relationship between AI-powered adaptive content and students’ academic motivation in 
secondary schools in Anambra State. It was also found that there is a moderate and significant 
relationship between AI-powered learning analytics and students’ academic motivation in 
secondary schools in Anambra State. Based on the findings, it was recommended among others 
that Ministry of Education should organize an annual training programme for teachers to enrich 
their knowledge in the use of AI-powered learning analytics to motivate students in the classroom.