Roles of Artificial Intelligence on Educational Management for Sustainable Development in Public Senior Secondary Schools in Port Harcourt Metropolis
- Victoria Osaruchi Sam-Kalagbor
- DOI: https://doi.org/10.5281/zenodo.22671436
- UKR Journal of Education and Literature (UKRJEL). Page: 27-37.
The study examined the roles of artificial intelligence on educational management for sustainable development in public senior secondary schools in Port Harcourt metropolis. Three objectives were stated, three research questions were posed and three null hypotheses were tested. The study adopted a descriptive survey design. The population consisted of one hundred and eighty-four (184) school administrators, made up of principals and vice-principals of the forty-six (46) public senior secondary schools in Port Harcourt metropolis, distributed as eighty-eight (88) in Port Harcourt City Local Government Area and ninety-six (96) in Obio-Akpor Local Government Area. The entire population was studied, so there was no sampling and no sampling technique was used. The instrument for data collection was a self-designed questionnaire titled ‘Artificial Intelligence in Educational Management Questionnaire (AIEMQ)’, structured on a four-point scale of Very High Extent to Very Low Extent. The instrument was validated by three experts, and reliability was established through the Cronbach Alpha method, which yielded 0.84, 0.81 and 0.86 for the three clusters, with a composite index of 0.84. Out of the one hundred and eighty-four (184) copies distributed, one hundred and seventy-two (172) copies were properly completed and retrieved, representing a return rate of 93.5%. Mean and standard deviation were used to answer the research questions for each local government area, while the null hypotheses were tested using the independent t-test at 0.05 level of significance. The findings revealed that artificial intelligence plays a role in school record management to a high extent, while its roles in administrative decision-making and in instructional supervision are performed to a low extent. The findings further showed no significant difference in the mean ratings of respondents in the two local government areas on administrative decision-making and on school record management, but a significant difference on instructional supervision, t(170) = 2.66, p < 0.05. It was recommended, among others, that the state secondary education board should extend artificial intelligence beyond record storage into the analysis of the records already held, and that schools should be provided with the bandwidth, devices and trained personnel without which supervision tools cannot function.
Keywords: Artificial Intelligence, Educational Management, Sustainable Development, Administrative Decision-Making, School Record Management, Instructional Supervision.

