Final changes of the two paths of students.

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.随着国民教育水平提升与高等教育扩招，更多学生获得了接受优质教育的机会，但就业竞争压力也随之加剧。如何提升学生的就业竞争力、综合素质，以及职业规划与就业策略路径探索能力，已成为当下社会普遍关注的议题。在当前信息化时代背景下，职业规划与就业策略路径愈发数字化、信息化，互联网支撑是获取更多就业信息的必要条件。作为信息时代的代表性产物，深度学习（deep learning）为人们提供了更优的解决方案。本文针对信息时代下基于深度学习的职业规划与就业策略路径展开深入研究。研究结果表明，在当前信息时代中，依托深度学习开展职业规划与就业策略相关工作，能够帮助学生解决职业规划教育中面临的核心问题，更好地适配当下社会发展需求；其中职业认知水平提升35%，自我提升成效达15%。这说明，信息时代下基于深度学习的职业规划与就业策略是顺应时代潮流的可行路径，能够更好地助力大学生提升认知水平、推动就业实现与个人自我发展。本研究结合定量与定性研究方法，通过问卷调研采集数据，并采用深度学习模型开展分析；设置对照组与实验组，对职业规划教育的实施效果进行评估；同时运用描述性统计与相关性分析方法，保障研究结果的准确性与可靠性。