Li, Hanwen2025-01-282025-01-282024-07https://hdl.handle.net/11299/269644University of Minnesota Ph.D. dissertation. July 2024. Major: Organizational Leadership, Policy, and Development. Advisor: Sehoon Kim. 1 computer file (PDF); v, 123 pages.The advancements in generative AI technologies have provided various opportunities to enhance human resource development (HRD) activities. Scholars have discussed the benefits of using AI chatbots, a popular AI application, in training activities. Yet, the current literature still lacks a comprehensive understanding of how AI chatbots can be used in training activities. Drawing from the self-determination theory (SDT) and the technology acceptance model (TAM), this study examines trainees’ AI readiness in terms of attitude toward AI, perceived autonomy support, and knowledge of AI, and its influence on their motivation to use AI in a learner-controlled training session taught by a generative AI chatbot designed and developed using the latest large language model. Their AI readiness and motivation to use AI were measured before the training. Training outcomes were measured after the training in terms of transfer of training and learning achievements. This study employed a within-subject design, with 43 participants completing the experiment. The multiple linear regression analysis shows that knowledge of AI predicts motivation to use AI. Attitude toward AI was measured by perceived usefulness and perceived ease of use. Perceived usefulness significantly predicts motivation to use AI; however, perceived ease of use is insignificant. Perceived autonomy support was also found to be insignificant in predicting motivation to use AI. The analysis shows that motivation to use AI is significant in predicting training transfer but insignificant in predicting learning achievements. This study provides empirical data for the understanding of how the utilization of generative AI chatbots in training activities affects trainees’ intrinsic motivation to interact with the AI and, therefore, influences the training outcome. The findings indicate the need to prepare employees for the AI era and urge future studies to gain a deeper and broader understanding of this phenomenon.enArtificial IntelligenceHuman Resource DevelopmentTraining and DevelopmentThesis or Dissertation