E-learning adoption in nursing education: feasibility analysis using the technology acceptance model with a focus on digital and information literacy

Introduction: This study investigates the factors influencing the adoption and behavioral intention toward eLearning models in nursing education, using Structural Equation Modeling (SEM) with Partial Least Squares (PLS) analysis. Methods: A structured questionnaire was administered to a sample of 65 participants, examining constructs such as Digital Literacy, Information Literacy, Perceived Usefulness, Feasibility of Adopting eLearning, and Performance Expectancy. Results: Reveal that Perceived Usefulness has a significant direct effect on Performance Expectancy (β = 0.384, t = 3.200, p = 0.001) and Feasibility of Adopting eLearning (β = 0.264, t = 2.160, p = 0.031), and indirectly affects Behavioral Intention through Performance Expectancy (β = 0.140, t = 1.967, p = 0.049). Performance Expectancy also significantly influences Behavioral Intention (β = 0.364, t = 2.894, p = 0.004) and Feasibility of Adopting eLearning (β = 0.317, t = 2.479, p = 0.013). However, Information Literacy showed limited influence, with non-significant pathways to both Feasibility (β = 0.161, t = 1.364, p = 0.172) and Performance Expectancy (β = 0.181, t = 1.062, p = 0.288). Discussion: These findings underscore the importance of perceived usefulness and performance expectations as key predictors of eLearning adoption, with implications for enhancing digital literacy and support frameworks in educational settings.