ARTIFICIAL INTELLIGENCE AND TRAINING PROGRAMME AS PREDICTORS FOR SECRETARIES’ JOB EFFECTIVENESS

Abstract

The study examined artificial intelligence and training programmes as predictors for secretaries’ job effectiveness. Three research questions guided the study. A descriptive research design of a survey type was adopted for the study. The population comprised 63 secretaries at Tai Solarin University of Education, Ijagun, Ogun State, Nigeria. The sampling technique was used to select the sample size. Thus, since the study population is not large, the whole population was used, so there is no need for sampling. The study used a self-developed instrument tagged: Artificial Intelligence, Training, and Secretaries’ Job Effectiveness Questionnaire (AITSJEQ) for data collection, with 0.95 reliability coefficient. Research questions 1, 2, and 3 were answered using Pearson Product-Moment Correlation (PPMC) and multiple regression analysis. The findings of the study indicated that there was significant relationship between artificial intelligence and secretaries’ job effectiveness (r = 0.458, p <.05). It was indicated that there was positive relationship between training programme and the secretaries’ job effectiveness (r = 0.604, p <.05). Also, the findings of the study indicated that was a significant composite contribution of independent variables on the dependent variable; R = 0.81, p < .05. About 79% of variation in secretaries’ job effectiveness was accounted for by explanatory variables (artificial intelligence and training programmes). It was recommended, among others, that there is a need for the government in Nigeria to invest significantly in infrastructural advancement and human capital development, which in turn will close the skill gaps, infrastructural deficits, and lapses that crop up from the unawareness of Artificial Intelligence in the technological advancement of Nigeria