Impact of Artificial Intelligence Tools on Appointment Scheduling and Report Generation in Colleges of Education in Kaduna State, Nigeria
DOI:
https://doi.org/10.63561/fnas-jmse.v6i3.901Keywords:
Artificial Intelligence Tools, Appointment Scheduling, Report Generation, Colleges of Education, Kaduna StateAbstract
The study investigated the impact of Artificial Intelligence (AI) tools on appointment scheduling and report generation in Colleges of Education in Kaduna State, Nigeria. Specifically, it examined how AI tools affect scheduling of appointments and report generation in the two government-owned colleges in the state. These objectives were translated into two research questions and two corresponding hypotheses. The study adopted a survey research design. The target population comprised 3,181 respondents—1,658 lecturers and 1,523 senior management staff. From this, 346 participants were selected as the sample, made up of 180 lecturers and 166 senior management personnel. Data were collected using a validated instrument titled Questionnaire on Artificial Intelligence Tools and the Automation of Routine Administrative Tasks (QARITARAT). A pilot study established the instrument’s reliability, with a Cronbach’s Alpha coefficient of 0.82, indicating high internal consistency. Data analysis involved descriptive statistics (frequency, mean, standard deviation) for the research questions and Chisquare (χ²) tests for the hypotheses at the 0.05 significance level. Findings revealed that AI tools did not have a statistically significant impact on appointment scheduling (mean = 3.07, χ² = 51.048, p = .004), while a statistically significant impact was found on report generation (mean = 2.88, χ² = 22.614, p = .100). The study recommended that college management should deploy AI tools cautiously, considering ethical issues such as bias, data privacy, and loss of human engagement, to avoid negative consequences on institutional data handling.
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