Awareness and perception as predictors of preparedness to use AI in health emergencies among undergraduates: a machine learning approach

This study investigated the relationships among undergraduate students’ awareness, perception, and preparedness to use artificial intelligence (AI) tools for decision-making during health emergencies in two Nigerian public universities (N = 4,632). A cross-sectional correlational design was adopted for the study. Data were collected using an online questionnaire with valid and reliable psychometric properties (α ≥ 0.90). One-sample t-tests revealed that undergraduates reported high levels of awareness (t = 55.97, < 0.001) and perception (t = 86.92, p < 0.001) regarding AI use.p Although their preparedness to use AI for decision-making during health emergencies was statistically significant (t = − 34.08, p < 0.001), the mean score was comparatively lower than the baseline value of 2.50, indicating a significantly low level of preparedness. Simple linear regression analyses revealed that AI awareness significantly predicted perception and preparedness. Perception also significantly predicted preparedness. Both awareness and perception jointly accounted for 9.6% of the variance in preparedness (F(2, 4629) = 247.08, p < 0.001). Relatively, awareness remained a significant predictor of preparedness (β = 0.304, p < 0.001) even after controlling for perception. In contrast, perception became insignificant in predicting readiness when awareness was controlled for. Random forest regression (RFR) was used to test predictive accuracy and assess non-linear patterns. The results showed that awareness and perception explained 26% (training set) and 25% (test set) of the variance in undergraduates’ readiness. RFR results solidified the importance of AI awareness as the top predictor (100% predictive importance) over perception (78% predictive importance). These findings suggest that foundationalknowledge is associated with increasing readiness to adopt AI during health emergencies. Therefore, educational interventions should focus on enhancing AI awareness to improve students’ preparedness higher institutions of learning.