Extent of Utilization of Artificial Intelligence for Improving the Teaching of Business Education among University Business Educators in South-South, Nigeria.
Abstract The study ascertained the extent of utilization of artificial intelligence (AI) for improving the teaching of business education among university business educators in South-South, Nigeria. Two research questions guided the study and one null hypothesis was tested. The study adopted a descriptive survey research design. The population of the study comprised 202 university business educators in South-South, Nigeria. The instrument for data collection was a 15-item questionnaire. The instrument was validated by three experts. Cronbach Alpha was used to determine the reliability of the instrument and obtained an overall coefficient value of 0.89. Mean and standard deviation were used to answer the research questions, while t-test was used to test the null hypothesis at 0.05 level of significance. The findings of the study revealed that AI were rarely utilized by university business educators, while male business educators had higher mean rating than their female counterparts on the extent they utilize AI for improving the teaching of business education programme in South-South, Nigeria. The findings revealed that male and female university business educators do not significantly differ in their mean responses on the extent they utilized AI for improving the teaching of business education programme in in South-South, Nigeria. The study concluded that AI listed in the study was not widely utilized by university business educators for improving the teaching of business education programme in South-South, Nigeria. It was recommended among others that, university management should collaborate with experts in ICT and education to develop 21st-century learners centred course materials with interactive elements and immediate feedback that can further strengthen the use of AI for educational purposes.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-01
- DOI
- https://doi.org/10.5281/zenodo.17237533
- Primary Topic
- Latin American Urban Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00