International Journal of Science, Engineering and TechnologyAuthors: Prince Maduabuchukwu, Clinton Nwachukwu, Ozioma
Abstract: – This study investigated the effects of artificial intelligence package on mechanical technology education students’ academic performance in Milling Machine operation in Tertiary Institutions in Rivers State, Nigeria. The aspect of Artificial intelligence investigated were perceived course mastery, research complexity and functionality. Three research questions were raised and answered, while three null hypotheses formulated and tested at 0.05 level of significance. A quasi-experimental design guided the study. The population of the study was 188 year 1-IV mechanical technology education students from three tertiary institutions in Rivers State that offers mechanical technology education programmes, year three with a population of 72 was sampled. The researcher collected data for the study using teacher made test. The instrument was validated by two lecturers in the department of Industrial Technology Education (mechanical technology option). The reliability of the instrument was established using test, re-test method. The data achieved were analyzed with PPMC. The coefficient achieved was .84. Analysis of Covariance (ANCOVA) statistics were used to test the hypotheses at .05 levels of significance. Based on the findings of the study, it was concluded that experimental group taught with artificial intelligence package performed better than the control group taught with white-board. It was recommended that government should train lecturers on how to develop and use AI packages in addition to white-board (conventional) teaching method since it has proven to be effective.
DOI: http://doi.org/10.61463/ijset.vol.13.issue3.207
