Main Article Content

Abstract

This study investigated AI readiness using a quantitative descriptive design with a sample of 130 faculty members. Data from a self-constructed questionnaire were analyzed using SPSS 27 and SmartPLS 4.0 for statistical treatment. Anchored on grit theory, the results show that the faculty members have a high level of AI readiness in terms of wellbeing and mental health, changing skill requirements, job automation and displacement, and low level of privacy issues. The independent samples t-test conducted to compare the AI readiness of faculty members aged 18 – 44 years and 45 – 64 years showed that younger faculty members were more ready for AI technologies than older faculty members. The Mann-Whitney U-test results and Cohen’s effect size revealed a significant difference in AI readiness for Protestants and non-Protestants, with Protestants having a higher level of readiness than their counterparts. On gender, the females had a higher level of AI readiness than the males. In terms of educational levels, postgraduate degree faculty members had a higher level of AI readiness than those with up to bachelor’s degrees.

Keywords

Artificial intelligence AI Readiness faculty adventist institutions higher education

Article Details

How to Cite
Juma, M. (2025). Faculty Artificial Intelligence Readiness in Adventist Higher Institutions of Learning in Sub-Saharan Africa. Pan-African Journal of Education and Social Sciences, 6(2), 130–148. https://doi.org/10.56893/pajes2025v06i02.10

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