Leveraging Instructional Design Models for Corporate Training and Professional Development using Artificial Intelligence (AI)

Abstract: This proposal explores the transformative potential of AI and Intelligent Tutoring Systems (ITS) in corporate training and professional development. By integrating AI, the aim is to tailor learning experiences, enhance training efficacy, and adapt to individual needs while leveraging instructional design models like ADDIE. The study evaluates how AI enhances corporate training through a dynamic, data-driven approach, emphasizing personalized and adaptive learning. It addresses the necessity for corporations to maintain a competitive edge through workforce development, filling the research gap on AI's impact on training program effectiveness and efficiency. The research synthesizes current knowledge on AI, ITS, and instructional design to pinpoint areas where AI can significantly improve training outcomes. AI assesses learning requirements, personalizes curriculum, and enhances employee knowledge management and transfer, acting as a dynamic agent to promote corporate training and development. By reducing biases and using data to create personalized learning experiences, AI offers more equitable and effective training solutions. This underscores the importance of combining human expertise with AI's advantages for optimal learning results.