The ever-changing workplace arena poses challenges and uncertainties for the workforce due to the impact of Artificial Intelligence (AI) on the human job outlook. There is rising concern that some jobs will disappear as certain tasks no longer require human involvement. According to the job outlook reports and predicted trends, the employees’ competitive advantage will lie in their ability to adapt, re-skill, and master essential professional skills. To remain competitive in the job market amidst the adoption of AI, college graduates must possess transferrable skills such as interdisciplinary collaboration, professional communication, and creative problem-solving. Therefore, higher education programs need to evolve, shifting their focus from only specialized technical competencies to a broader context. By integrating interdisciplinary learning in curricula, universities can prepare multifaceted professionals equipped with the skills needed to address the complex problems the world faces today and into the future.
This paper discusses the Interdisciplinary Teaching Initiative developed and implemented at the University. The Initiative addresses the need to prepare college graduates to effectively collaborate with individuals from diverse educational backgrounds, disciplines, cultures, and beliefs to achieve common goals or solve complex problems. The paper outlines the implemented teaching framework, curricular advancements, and best practices, as well as proposes a model for integration of AI learning into interdisciplinary pedagogy. The implications of the Interdisciplinary Pedagogy are discussed in the context of its impact on the student career readiness in the AI-dominated workplace of the future.