Enrollment and Employment Division, Southwest Petroleum University, Chengdu, Sichuan, China.
PLoS One. 2024 Oct 15;19(10):e0308654. doi: 10.1371/journal.pone.0308654. eCollection 2024.
With the improvement of education level and the expansion of higher education, more students can have the opportunities to obtain better education, and the pressure of employment competition is also increasing. How to improve students' employment competitiveness, comprehensive quality and the ability to explore paths for career planning and employment strategies has become a common concern in today's society. Under the background of today's informatization, the paths of career planning and employment strategies are becoming more and more informatized. The support of Internet is essential for obtaining more employment information. As a representative product of the information age, deep learning provides people with a better path. This paper conducts an in-depth study of the career planning and employment strategy paths based on deep learning in the information age. Research has shown that in the current information age, deep learning through career planning and employment strategy paths can help students solve the main problems they face in career planning education and better meet the needs of today's society. Career awareness increased by 35% and self-improvement by 15%. This indicated that in the information age, career planning and employment strategies based on deep learning are a way to conform to the trend of the times, which can better help college students improve their understanding, promote employment, and promote self-development.This study combines quantitative and qualitative methods, collects data through questionnaires, and uses deep learning model for analysis. Control group and experimental group were set up to evaluate the effect of career planning education. Descriptive statistics and correlation analysis were used to ensure the accuracy and reliability of the results.
随着教育水平的提高和高等教育的普及，越来越多的学生有机会接受更好的教育，而就业竞争的压力也在不断增加。如何提高学生的就业竞争力、综合素质和探索职业规划与就业策略的能力，已成为当今社会的共同关注点。在当今信息化的背景下，职业规划和就业策略的路径越来越信息化。互联网的支持对于获取更多就业信息至关重要。作为信息时代的代表性产物，深度学习为人们提供了更好的路径。本文深入研究了信息时代基于深度学习的职业规划和就业策略路径。研究表明，在当前的信息时代，通过职业规划和就业策略路径进行深度学习，可以帮助学生解决职业规划教育中面临的主要问题，更好地满足当今社会的需求。职业意识提高了 35%，自我提升提高了 15%。这表明，在信息时代，基于深度学习的职业规划和就业策略是一种顺应时代潮流的方式，可以更好地帮助大学生提高认识、促进就业和自我发展。本研究采用定量和定性相结合的方法，通过问卷调查收集数据，并使用深度学习模型进行分析。设立了对照组和实验组来评估职业规划教育的效果。使用描述性统计和相关性分析来确保结果的准确性和可靠性。
