Journal of Emerging Trends in Engineering and Applied Sciences: Research Areas

Article Title: Harnessing Artificial Intelligence and Collaborative Evaluation to Enhance Transition Assistance Programs for Veterans of Color
by Liliana Rodriguez-Campos, Ph.D., and William Carpenter, Ph.D.

Abstract:
In the United States, the transition from active-duty military to civilian life can be a challenging experience for some veterans, particularly for veterans of color. Veterans of color who may experience barriers due to systemic racism and cultural differences, may not have access to sufficient resources to help them transition from active duty military to a successful civilian life as a veterans. Transition Assistance Programs, currently offer curriculum that does not prepare veterans for the social, emotional and cultural shifts in traditional approaches to transition assistance programming often fail to address. This article proposes a framework that integrates Artificial Intelligence (AI) with the Model for Collaborative Evaluation (MCE) to create a dynamic, personalized, and culturally responsive transition assistance planning system. The AI-Enhanced Collaborative Transition Model leverages AI's capabilities in data analysis and predictive modeling to enhance MCE�s strengths in stakeholder engagement and collective decision-making. This integrated approach aims to empower veterans of color by providing tailored support, improving access to resources, and facilitating continuous feedback. By addressing the specific needs of veterans of color, this model has the potential to significantly improve transition outcomes and promote long-term well-being.

Keywords: Veteran Learning, Artificial Intelligence, Evaluation, Adult Learning, Military

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