The paper explores how cognitive science can facilitate human-computer interactions in complex systems, particularly in higher education. It examines the potential of artificial intelligence (AI) to enhance learning and education, rather than viewing it as a threat. The authors provide a historical perspective on how automation and technology have been perceived, highlighting that generative AI technologies like ChatGPT are a product of cognitive science. They introduce a model for higher education instruction that capitalizes on metacognition to improve learning effectiveness. The paper emphasizes the importance of metacognition in determining learning outcomes and suggests that AI can be seen as a critical collaborator in educating students around essential workforce skills such as effective communication and collaboration. The authors also discuss the significance of AI in education, drawing parallels with past technological innovations and their impact on educational practices. They argue that AI can play a crucial role in enhancing learning outcomes, but it requires careful integration and the development of metacognitive skills to ensure students use AI appropriately. The paper concludes by recommending that higher education professionals embrace AI as a collaborator to better prepare students for the future workforce.The paper explores how cognitive science can facilitate human-computer interactions in complex systems, particularly in higher education. It examines the potential of artificial intelligence (AI) to enhance learning and education, rather than viewing it as a threat. The authors provide a historical perspective on how automation and technology have been perceived, highlighting that generative AI technologies like ChatGPT are a product of cognitive science. They introduce a model for higher education instruction that capitalizes on metacognition to improve learning effectiveness. The paper emphasizes the importance of metacognition in determining learning outcomes and suggests that AI can be seen as a critical collaborator in educating students around essential workforce skills such as effective communication and collaboration. The authors also discuss the significance of AI in education, drawing parallels with past technological innovations and their impact on educational practices. They argue that AI can play a crucial role in enhancing learning outcomes, but it requires careful integration and the development of metacognitive skills to ensure students use AI appropriately. The paper concludes by recommending that higher education professionals embrace AI as a collaborator to better prepare students for the future workforce.