Adoption of Chatbots for University Students

This research presents a novel, integrated model that blends elements from the Technology Acceptance Model (TAM) with critical factors determining Chatbot efficiency. Utilizing TAM as a foundational framework, the study explores what drives the adoption of Chatbots, with a specific focus on their use in educational settings to improve interactions between educators and students. Our model emphasizes the direct relationship between perceived ease of use and usefulness in TAM, and their impact on user satisfaction. Moreover, flow theory is incorporated to assess user engagement and control in using Chatbots. Data was collected from 293 participants in the educational field, including teachers, administrators, and students. Findings reveal that both user satisfaction and flow experience play crucial roles in fostering the intent to adopt Chatbots. Theoretically, the model provides an in-depth understanding of the variables influencing the intent to use Chatbots, particularly in the context of individual internet service factors. Overall, the study points to a strong preference for Chatbots in educational settings, highlighting their importance as a communication tool between teachers and students and their effectiveness in streamlining information exchange.