Employment cognition and occupational contradictions among college graduates under the new employment form – based on data analysis
DOI:
https://doi.org/10.56294/dm2024389Keywords:
Employment Cognition, Occupational Contradictions, Big Data, Artificial IntelligenceAbstract
Total employment among college grads is now under significant pressure, and structural conflicts are quite visible. People are starting to take notice of the serious job crisis that college students face. According to the research study, college students' employment cognition is a key factor in this problem. The importance of enhancing students' employment cognition cannot be overstated. According to the article, knowing the important aspects that could affect one's job cognition is the first step in improving students' employment cognition. SEM analysis shows these characteristics were positively and substantially associated with employment cognition. This article aims to use big data technologies to conduct extensive studies and analyses on AI employment cognition and occupational contradictions. The first step is implementing a scientific approach to building a multi-level linked big data management platform for Employment Cognition. The platform will be used during the development of Employment career advancement. The subsequent objective is to build an employment team by including information resources. Finally, the results show a huge variation in self-ability cognition and a remarkable difference in how college students think about their job capacity due to new work. Their physiological features and societal expectations are related to this. However, the most critical factor in enhancing the quality of college graduates' jobs is for the relevant department to improve the nurturing of their prior abilities in this area
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Copyright (c) 2024 Hong Xiang, Anrong Wang, Wenxi Tan, Xiaoju Dai, Le Zhang (Author)
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