Bibliometrics Analysis of Artificial Intelligence-Driven Skills Training for College Students' Employability in the Transition to Full Employment Working Life

Abstract

Within the dynamic and ever-changing realm of higher education, there is an increasing focus on the convergence of inventive teaching methods and the must to improve the job prospects of graduates. This has resulted in a heightened curiosity around the utilization of artificial intelligence (AI) as a means to provide skills training. This research paper presents a bibliometric analysis that examines the correlation between pedagogical approaches infused with artificial intelligence (AI) and the overall improvement of employability among college students as they transition into the workforce. This study investigates the trends, contributions, and interconnections within the domain of AI-based skills training by analyzing a comprehensive range of scholarly literature. This scholarly endeavor recognizes the intricacy of contemporary labor market requirements and systematically examines the significance of artificial intelligence-driven interventions in the realm of skills development. The text also explores the range of course design options made possible by artificial intelligence (AI), resulting in improved teaching methods, personalized learning trajectories, and the cultivation of flexible mindsets for the workforce. This study examines the efficacy of teaching approaches that incorporate artificial intelligence (AI) in developing employability skills within the framework of technological improvements. The study utilizes a descriptive method and utilizes bibliometric analysis on data obtained from credible sources such as the Scopus database. The inquiry commences with the establishment of search terms, which are further refined to encompass exclusively academic journals and conference proceedings. Additionally, a co-authorship analysis is performed in order to gain insights into the collaborative dimensions of research in the field of artificial intelligence and education. The study examines patterns in research pertaining to artificial intelligence (AI) over different time periods, delving into significant themes and subjects. This study examines the effects of AI-driven course designs on employability, explores the long-term career outcomes resulting from AI-based training, and compares the efficacy of traditional teaching methods with AI approaches. This study is a valuable contribution to the ongoing academic discussion surrounding the impact of artificial intelligence (AI) in the realm of higher education. It provides valuable insights into how AI might effectively enhance the employability of college students, facilitating a smoother transition into the professional workforce.