The Influence of AI-Powered Adaptive Learning Platforms on Learning Culture in Corporate Learning and Human Resource Development in Medium to Large-Sized Organizations

In the course of digital transformation, AI-supported adaptive learning platforms (ALPs) are becoming increasingly important for continuing education and strategic human resources development in medium-and large-sized organizations. These systems use artificial intelligence to customize learning processes, generate personalized learning paths, and promote self-directed. While the technological potential of such platforms has been widely discussed, their influence on the learning culture of organizations has not yet been sufficiently investigated. The aim of this master's thesis is to analyze how adaptive learning systems affect the learning culture in organizations on the basis of a theory-driven literature review. Learning culture is understood as the network of shared values, norms, and practices that shapes the perception, evaluation, and design of learning in organizations. Drawing on constructivist and organizational theory approaches as well as educational science perspectives, an analytical framework is developed to systematically capture cultural dynamics, areas of tension, and conditions for success in dealing with ALPs. The work contributes to existing research by systematically evaluating current studies on AI-powered adaptive learning platforms and recontextualizing them from the specific perspective of their cultural effects in organizations. This reveals how existing research findings on issues of learning culture can be interpreted, bundled, and critically reflected upon in order to gain deeper insights into the cultural dimensions of corporate learning in organizations.