The Future Implications of AI and Experiential Learning Opportunities in Public Health and Health Administration

Abstract

Artificial intelligence is a powerful phenomenon that is rapidly transforming the higher education sector. It affects not only the way students learn, interact, and engage with education but also the way they apply this education in practical settings. This literature review examines the future of AI as a transformational factor in experiential education, specifically in public health and administration education as a field of expertise. Through the lens of 18 scholarly sources, this review weaves together the roles of adaptive learning, digital twins, and generative AI in becoming the exponent of experiential education. Our findings in this literature review demonstrate that AI-based tools such as digital twins, in conjunction with generative AI–based simulation techniques, help in creating immersive data-focused environments where students can apply theoretical concepts to practical issues in the field of healthcare. AI-based experiential education helps in continuous conceptualization, reflection, and experimentation. This helps in increasing efficiency in decision-making, systems-based learning, and preparedness to tackle the needs of the external environment. Irrespective of issues of overdependence on technological platforms that cause a reduction in human skills, there is sufficient evidence that planned integration of AI helps in increasing learner creativity, motivation, and job readiness.