A Systematic Review and Comprehensive Analysis of AI-Enabled Re-Skilling and Upskilling in Education: Transformative Strategies for the Future

The evolution of Artificial Intelligence (AI) is reshaping education by enabling adaptive re-skilling and upskilling strategies that align with the digital economy's demands. This paper systematically reviews and analyzes AI-enabled learning approaches, emphasizing the transformative impact of AI on personalized education and skills development. Using Social Media Marketing (SMM) in Jordanian Small and Medium-sized Enterprises (SMEs) as a case study, we examine how AI-driven marketing strategies-specifically those involving customer engagement and content optimization-can inform similar applications in education. Our mixed-methods research combines qualitative insights from SME stakeholders with quantitative surveys on AI's impact on SMM, analyzing its effectiveness in enhancing engagement, predicting trends, and improving ROI. These findings are visualized in key diagrams, including a process flowchart for re-skilling and upskilling, entity-relationship diagrams for AI applications in SMEs, and pie charts highlighting AI's impact on engagement and learning. The study identifies critical barriers to AI adoption in education, such as technical constraints, financial limitations, and ethical challenges, represented in visual aids to enhance clarity. Practical strategies to address these challenges are presented, providing educators, policymakers, and stakeholders with a roadmap for integrating AI to foster continuous learning and innovation. This research offers a foundation for AI-driven educational strategies that can adapt to the evolving needs of a global workforce.