Development of Innovative K-Means Clustering Application for College Entrepreneurship Education

Abstract

Abstract The traditional approach to talent development in education and workforce preparation is no longer sufficient to meet the dynamic demands of today's society and economic landscape. Modern policies aimed at promoting innovation-driven development require individuals to exhibit significant ingenuity and initiative. A growing concern shared by all sectors of society revolves around the status of student innovation and entrepreneurship (IAE) education, particularly within the context of the workplace. The unceasing pressures of economic growth have laid bare the inadequacies of the conventional talent cultivation model. It is now evident that relying solely on traditional educational methods cannot adequately equip students with the skills and mindset necessary to excel in an economy driven by innovation. In China, the domain of IAE education within universities is still in its early stages, but it is steadily advancing in both research and implementation. The recognition of the urgent need to adapt education to the demands of the 21st-century economy has sparked a surge in efforts to enhance IAE curricula. A noteworthy step in this direction is the innovative utilization of K-Means clustering (KMC) in college entrepreneurship instruction. This approach provides distinct advantages by clarifying the terminology associated with the evolving field of entrepreneurship and educational theory. It enables a deeper comprehension of concepts like entrepreneurship and the pursuit of change, which are essential in nurturing innovative mindsets and initiatives among students.