Exploring the roles of interaction and flow in explaining nursesʹ e-learning acceptance

SummaryBackground vide safe and competent patient care, it is very important that medical institutions should provide nurses with continuing education by using appropriate learning methods. As compared to traditional learning, electronic learning (e-learning) is a more flexible method for nursesʹ in-service learning. Hence, e-learning is expected to play a pivotal role in providing continuing education for nurses. ives tudyʹs purpose was to explore the role and relevance of interaction factors, intrinsic motivator (i.e., flow), and extrinsic motivators (i.e., perceived usefulness (PU) and perceived ease of use (PEOU)) in explaining nursesʹ intention to use the e-learning system. on the technology acceptance model (TAM) with the flow theory, this studyʹs research model presents three types of interaction factors, learner–system interaction, instructor–learner interaction, and learner–learner interaction to construct an extended TAM to explore nursesʹ intention to use the e-learning system. gs data were gathered from nurses at two regional hospitals in Taiwan. ipants l of 320 questionnaires were distributed, 254 (79.375%) questionnaires were returned. Consequently, 218 usable questionnaires were analyzed in this study, with a usable response rate of 68.125%. s confirmatory factor analysis was used to develop the measurement model. Second, to explore the causal relationships among all constructs, the structural model for the research model was tested by using structural equation modeling. s learner–system interaction, instructor–learner interaction, and learner–learner interaction respectively had significant effects on PU, PEOU, and flow. Next, flow had significant effects on PU and PEOU, and PEOU had a significant effect on PU. Finally, the effects of flow, PU, and PEOU on intention to use were significant. sions tically speaking, learner–system interaction, instructor–learner interaction, and learner–learner interaction can indirectly make significant impacts on nursesʹ usage intention of the e-learning system via their extrinsic motivators (i.e., PU and PEOU) and intrinsic motivator (i.e., flow).