This Topical Collection explores the intersection of Artificial Intelligence (AI) and education, focusing on how AI-driven technologies are reshaping both academic environments and human resource (HR) practices. With rapid advancements in AI, educational institutions and organizations are finding new ways to enhance learning experiences, personalize student engagement, and foster skills critical to the future workforce. As AI continues to disrupt traditional models, this collection invites scholars to examine the opportunities and challenges that arise when AI-driven tools are applied in education and HR.
Key areas of focus include the use of AI for personalized learning, predictive analytics in student performance, AI's role in talent acquisition and development, and how AI is reshaping leadership and management strategies. This collection aims to bring together research that bridges education and HR to explore innovative approaches to workforce readiness, lifelong learning, and human capital development in an AI-driven world.
Contributors are encouraged to submit work that addresses AI’s potential to transform both educational and organizational landscapes, ultimately shaping the future of work and learning.
Keywords: Artificial Intelligence; Education; Human Resource Management; Talent Development; Personalized Learning; Predictive Analytics; Workforce Development; Leadership; Organizational Innovation