This study explored the predictors related to mobile learning (m-learning) adoption among undergraduate nursing faculty in a southeastern state. Venkatesh’s (2012) revised version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as the theoretical framework. Three questions were used to guide this study: (1) How are undergraduate nursing faculty using mobile device technologies?; (2) Do performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), habit (HB), and behavioral intention (BI) impact undergraduate nursing faculty adoption of m-learning?; and (3) What differences do gender, age, education level, and type of nursing program have on undergraduate nursing faculty behavioral intention (BI) to adopt m-learning? An exploratory quantitative survey research design was used. A total of 120 responses were obtained from a one-time deployment of the Modified UTAUT2 for Assessment of m-Learning Adoption survey through Qualtrics. A hierarchical multiple regression analysis was used to examine how PE, EE, SI, FC, HM, PV, and HB impacted BI of undergraduate nursing faculty toward the adoption of m-learning. Both one-way ANOVA and three-way ANOVA were performed to examine if a relationship existed between BI and age, education level, and type of nursing program. Findings from the analysis revealed that device ownership and use of these devices are high. They also showed that nursing faculty report using their mobile devices for learning purposes and indicated that the activity they perform most is information seeking. Furthermore, the results revealed that six (EE, FC, PE, SI, HM, and HB) out of the seven UTAUT2 variables had a statistically significant impact on BI to adopt m-learning. Moreover, the results demonstrated that there were no significant relationships between undergraduate nursing faculty’s BI and their age, education level, and type of nursing program.