The Role of Artificial Intelligence in Transforming Management Science Education: Implications for Curriculum Development and Teaching Methods

Abstract

Artificial intelligence (AI) is transforming management science education through the improvement of curriculum design and optimization of pedagogies. This study explores the use of AI in improving the learning process through intelligent algorithms like natural language processing (NLP), reinforcement learning, neural networks, and decision trees. The study uses a student performance and course activity dataset to validate the impact of AI-based pedagogical methods. Experimental results suggest AI-based methods improve student engagement by 28%, knowledge recall by 35%, and accuracy of evaluation by 22% compared to traditional methods. Additionally, decision-making effectiveness in course structure design improved by 40%, demonstrating the potential of AI in improving curriculum design. A comparison of similar research works verifies the success of AI in digital health, sustainability research, and entrepreneurship research. Notwithstanding these benefits, ethical concerns and learning AI complexity remain major pitfalls in its universal adoption. The study concludes that the application of AI in management education has the potential to provide more adaptive, data-driven, and personalized education. Future studies must improve AI-based frameworks, address ethical concerns, and improve AI-based tests to further enhance the quality of education.