• Mr. Sourav Das

Artificial intelligence (AI) is rapidly transforming industries and societies in the 21st century. As AI technologies advance and permeate all aspects of life, it is imperative that younger generations are equipped with the knowledge and skills needed to thrive in an AI-driven future. This paper explores the critical role that AI plays in fostering essential 21st century skills in children and youth. Through a comprehensive review of research and case studies, we examine how exposure to and hands-on experience with AI from an early age can help cultivate key competencies such as computational thinking, data literacy, creative problem solving, and human-machine collaboration. We discuss various strategies for integrating AI education into school curricula and informal learning environments in developmentally appropriate ways. The opportunities and challenges of using AI itself as a tool to personalize learning and provide immersive educational experiences are also investigated. Ultimately, we argue that prioritizing AI skill development for young generations is crucial for empowering them to be not just consumers but creators and ethical leaders of AI technologies. Proactive investment in AI education today is necessary to build a future-ready workforce and ensure the responsible development of AI for social good.

artificial intelligence; skill development; 21st century skills; youth; education; future of work

"21st century in AI technology and it's important to young Generation Skill Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.f201-f227, March-2024, Available :http://www.jetir.org/papers/JETIR2403525.pdf

"21st century in AI technology and it's important to young Generation Skill Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppf201-f227, March-2024, Available at : http://www.jetir.org/papers/JETIR2403525.pdf