Exploring The Innovative Path Of Labour Education In Universities In The New Era From The Perspective Of "Labour Concept": Data-Driven Research

Abstract

Building and developing colleges and universities is an intrinsic requirement for labour education, and supporting their building is important now. College students' work ethic influences their development into the modern man, advancing the fundamental mission of technologically advanced educational institutions and satisfying the building demands of a modern educational superpower. This work mixes big data technology with a viewpoint on labour ideas to enhance the research impact of investigating the creative route of labour education in colleges and universities. This paper details a data-driven strategy for analyzing job postings to determine the necessary skills for a specific position using text-mining algorithms. The data-driven strategy allowed us to glean the required soft and hard abilities from job descriptions. The new methods may aid in the paradigm change toward sustainable development and provide decision-makers and curriculum designers with the tools to gauge the need for sustainability-related skills in the workforce. To create instructional materials based on learning objectives, the provided result may be used as input in outcome-based training creation. College labour education has some economic value, and the research demonstrates that the model for studying this value suggested in this article—which is based on big data analysis—can significantly contribute to studying this value in higher education.