Extent of Integration of Artificial Intelligence Tools for Assessing Students’ Academic Achievement in Automobile Technology Education in Colleges of Education in South East, Nigeria

The main purpose of this study was to ascertain the extent of integration of artificial intelligence tools for assessing students’ academic achievement in automobile technology education in colleges of education in South East, Nigeria. Three research questions and three null hypotheses guided the study. Descriptive survey research design was adopted. The entire population of 68 automobile technology educators in the eight public colleges of education in South East, Nigeria were studied without sampling. The instrument for data collection was validated by three experts and the reliability was established using Cronbach alpha statistic which yielded a coefficient of 0.77. Mean and standard deviation were used to answer the research questions while t-test was used to test the null hypotheses at 0.05 level of significance. Findings of the study revealed that automated grading tools, online polling tools and learning management systems are integrated to a low extent in assessing students’ academic achievement in automobile technology education in colleges of education in South East, Nigeria. The study concluded that automobile technology educators are struggling to integrate automated grading tools, online polling tools and learning management systems in assessing students’ academic achievement in automobile technology education in colleges of education in South East, Nigeria. Among others, it was recommended that automobile technology educators need to undertake in-service on artificial intelligence technologies to enable them use automated grading tools, online polling tools and learning management systems for assessing students’ academic achievement in automobile technology education in colleges of education in South East, Nigeria.