UTILIZATION OF ARTIFICIAL INTELLIGENT-ENABLED SELF-DIRECTED LEARNING PLATFORMS BY ELECTRICAL/ELECTRONIC TECHNOLOGY EDUCATION STUDENTS IN PUBLIC UNIVERSITIES IN ANAMBRA STATE

Abstract

This study assessed the utilization of AI-enabled self-directed learning platforms by students of electrical/electronic technology education in public universities in Anambra State. The research was guided by two research questions and one null hypothesis, which was tested at a 0.05 level of significance. The researchers adopted a descriptive survey research design. The participants were 126 male and female students of electrical/electronic technology education. The instrument for data collection was a structured questionnaire. The findings revealed that students are utilizing all the listed AI-enabled self-directed learning platforms. Also, the finding confirmed that there is no statistically significant difference in the mean ratings of male and female electrical/electronic technology education students in the level of utilization of AI-enabled self-directed learning platforms. Based on these findings, the study recommends that the ICT departments of public universities in Anambra State should organize comprehensive training through workshops and seminars to expose students and lecturers to more AI tools for effective delivery of instructions.