Learning Engagement through Generative AI Chatbots: The Mediating Roles of Instructor Support and Learning Motivation in Jiangsu Province, China
List of Authors
Cai Yu, Roselan Baki
Keyword
Learning Engagement through Generative AI Chatbots: The Mediating Roles of Instructor Support and Learning Motivation in Jiangsu Province, China
Abstract
In recent years, the use of AI in educational settings has become a significant avenue for the evolution of the application of new and interactive learning experiences. Among all kinds of AI technologies available nowadays, generative AI chatbots are the most reliable, being the ones, which can support interactive, personalized, and responsive learning environments. This study is primarily centered on the role of generative AI chatbots in promoting student engagement in higher educational institutions of Jiangsu Province, China. The research, to be more specific, observes the effect of five independent; Perceived Usefulness, perceived ease of use, the frequency of chatbot use, digital self-efficacy, and feedback responsiveness; on learning engagement, where instructor support and learning motivation are mediating variables. This study utilized Technology Acceptance Model (TAM) and Self-Determination Theory (SDT). A quantitative methodology approach, a structured questionnaire was utilized where the samples were university learners and educators that used AI chatbots. The SEM (Structural Equation Modeling) was used to analyze the data so as to realize the assessment of the hypothesized relationships and mediation effects. The initial expectation was that, there would be a positive relationship between students' perceptions of chatbots and their usage with learning engagement, especially when the instructor is facilitative and the student is motivated. By that, the study wins the race in AI educational development; it is also a practical example to other educators who want to know what types of chatbot strategies can be effective. Besides this, the findings yield the most practical and actionable insights for those designing policy, teachers, and creators of EdTech who want to build learner-centered AI environments.