Paper Title
An Investigation Into The Learning Creativity of Learners with Diverse Learning Styles within A Generative Ai Enhanced Educational Environment

Abstract
With the rapid integration of generative artificial intelligence (AI) into educational contexts, its impact on learners with different learning styles has become an issue of both theoretical and practical significance. This study seeks to examine how learners with diverse learning styles exhibit distinct learning preferences within a generative AI–enhanced instructional environment. Employing a mixed-methods design, the research collected data on learning styles and preferences through survey instruments, complemented by semi-structured interviews to capture learners’ lived experiences and perceptions. Preliminary findings indicate that visual and reflective learners tend to show strong receptivity to AI-generated multimedia learning materials, whereas kinesthetic and intuitive learners express a greater need for interactivity and immediate feedback to sustain engagement and comprehension. The study not only contributes empirical evidence to the growing body of research on generative AI in education but also provides practical insights for the design of personalized instructional strategies and curriculum innovation. Keywords - Generative Artificial Intelligence, Learning Styles, Learning Preferences, Visual Design.