2. Application Of Artificial Intelligence (AI) On Lecturers` Job Performances in Selected Rivers State Tertiary Institutions

Abstract

Artificial Intelligence (AI) is rapidly enhancing teaching and learning process globally. Therefore, this study determined application of artificial intelligence (AI) on lecturers’ job performances in selected River’s state tertiary institutions. Two research questions guided the study and two null hypotheses were tested. Descriptive survey research design was adopted. From a population of 62 lecturers, a census survey sampling was employed. A four-point response options questionnaire was used for data collection, and it was validated by three experts. The reliability of the instrument was established using Cronbach’s alpha which yielded coefficients of 0.78 and 0.79. Mean and Standard Deviation were used to answer the two research questions and measure the spread in respondents` opinions, while one-way analysis of variance (ANOVA) was used to test the two null hypotheses at 0.05 level of significance. Findings revealed that all the listed types of AI were highly needed, and that all the different types of AI stated were very highly beneficial on lecturers’ job performances. Based on the findings, it was concluded that if AI is applied on lecturers’ job performances, it will transform the programmes positively, lead to AI skills development and enable the learners to acquire the needed AI employability skills for the global workplace. Therefore, among other things, it was recommended lecturers should be trained and retrained on the application of AIs on their jobs` performances in selected River’s state tertiary institutions to enable them transfer the skills to learners.