Scalable Artificial Intelligence-Assisted Data Mining Protecting Career Success in Labor Education

Abstract

This paper examines the creative approaches to labor education by looking at them through the prism of educational and technical advancements. It tackles the current issue of insufficient worker preparation for the complexity of contemporary workplaces caused by antiquated educational methods. There is a widening skills gap since traditional labor education has a hard time keeping up with the changes. Labor Education based on Digital Technologies (LE-DT) is proposed as a solution to this problem in this paper. To make labor education more engaging, accessible, and relevant to today’s workers, LE-DT uses digital technologies and platforms to transform its delivery. Learners’ engagement, retention, and skill development may be improved by the use of multimedia materials, interactive simulations, virtual reality experiences, online courses, and LE-DT. Personalized learning paths, remote collaboration tools, gamified learning modules, and virtual apprenticeships are a few of the many uses of LE-DT covered in the paper. In doing so, it prepares employees for the challenges of the contemporary workplace by bridging the gap between classroom learning and real-world application. The paper evaluates the efficacy of LE-DT in enhancing learning outcomes, boosting labor productivity, and encouraging lifelong learning habits by presenting results from its deployment in various scenarios. Job rates, organizational performance indicators, learner happiness, and skill mastery are some of the evaluation measures.