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Leveraging New Trends in Teacher Education: AI-Based Approaches for Preparing Students in Business, Engineering, and Social Work for the Labor Market
Last modified: 2024-12-12
Abstract
This study explores how the integration of Artificial Intelligence (AI) in higher education can improve the preparation of students in Industrial Organization Engineering, Social Work, and Business Administration for the evolving labor market. As these fields encompass diverse branches of knowledge—Engineering, Social Sciences, and Economics and Business—AI-based tools offer innovative approaches to help students explore career opportunities, identify industry trends, and develop actionable professional strategies. Conducted at Universidad Rey Juan Carlos, the project examines how AI-driven labor market analysis can empower students with practical skills and knowledge for their careers. The methodology involves a semester-long course in which students use AI tools for data analysis, identifying opportunities, and developing professional profiles. Early results show that students’ understanding of the labor market has significantly improved, with increased motivation and a deeper appreciation for the role of AI in career planning. This approach not only enhances student engagement but also prepares them for successful transitions into the workforce, demonstrating the potential of AI in transforming teacher education and aligning academic training with industry demands.
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