ARTIFICIAL INTELLIGENCE COMPETENCES AND SECRETARIES JOB PERFORMANCE IN TERTIARY INSTITUTIONS IN RIVERS STATE.

Abstract

The study investigated investigate the relationship between Artificial Intelligence Competences and Secretaries Job Performance in Tertiary Institutions in Rivers State. Two objectives, two research questions and two hypotheses guided the study. A correlational research design was adopted in the study. The population for the study comprised of 305 secretaries in selected tertiary institutions in Rivers State. The entire population was used for the study, hence, there was no sampling. The instruments for the data collection were two self-structured questionnaire developed by the researcher titled “Questionnaire On Artificial Intelligence competencies of secretaries (QAICS)” and Questionnaire on Job Performance of Secretaries (QJPS).  It has two sections. The first session contains the demographic data of the respondents while the second section contains item statements and response options. The response option was: Strongly Agreed (SA)-4, Agreed (A)-3, Disagreed (DA)-2, Strongly Disagreed (SDA)-1. The instruments were validated by three experts. Cronbach alpha was used to establish the reliability of the instrument and reliability coefficients of 0.84 and 0.81 was established. Pearson product moment correlation coefficient (PPMC) was used to analyze the data collected in the study while t-transformation was used to test the hypotheses formulated in the study at 0.05 level of significance. Findings in the study shows that; AI document management competency, AI data processing competencies relates to job performance of secretaries in tertiary institutions in Rivers State. Based on these findings, conclusions and recommendations were made.