EXPLORING THE POWER OF AI BY BUSINESS EDUCATION LECTURERS FOR RESEARCH AND TEACHING IN PUBLIC TERTIARY INSTITUTIONS IN RIVERS STATE

Abstract

The quest to know the extent to which AI can be explored informed this study, “Exploring the power of AI by Business Education lecturers in research and teaching in public tertiary institutions in Rivers State.” One research question guided the study, and one null hypothesis was tested. A descriptive survey research design was adopted. From a population of 136 Business Education lecturers, a census 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 a coefficient of 0.75. The mean and standard deviation were used to answer the only research question and measure the spread in respondents' opinions, while one-way analysis of variance (ANOVA) was used to test the null hypothesis at the 0.05 level of significance. Findings revealed how highly the power of AI can be explored by Business Education lecturers in research and teaching, while educational attainment and years of teaching experience played vital roles in exploring the power of AI in research and teaching. The researchers concluded that if the power of AI is highly explored by Business Education lecturers in research and teaching, it will lead to high-level research and teaching activities. Among other things, it was recommended that the power of AI tools like Zotero be used to organise, cite, reference and share your research sources in research and teaching.