新质生产力驱动下的职业发展动态决策算法探究

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中图分类号：G712 文献标识码：A 文章编号:1672-3791(2026)01-0027-03

Exploration of Dynamic Decision-Making Algorithms for Career Development Driven by New Quality Productive Forces

HAN Xiao

Liuzhou Polytechnic University, Liuzhou, Guangxi Zhuang Autonomous Region, 545oo6 China Abstract: With the rise of new quality productive forces,the education industry is facing the challnge of digital and intellgent transformation.Based onthe dynamic decision-making algorithm,combined with the background of new quality productive forces,explores how to optimize thecareer development decision of in-service college teachers by technical means,analyzes the impact ofnew quality productive forces on teachers'career development, andbuildsa career development decision-making framework integrating dynamic decision-making theory. Through practical application examples,it demonstrates the specific applications of this algorithm in optimizing teachers'career paths and allcating teaching resources.Based on this,the algorithm optimization strategy is discused,including precisionoptimization,data-driven technologyenhancement,real-time adjustmentand feedback mechanism design,to provide more intelligent and personalized career development support for college teachers.

Keywords: New quality productive forces; Dynamic decision-making algorithm; Career development; College teach - ers; Personalized support

在高校教师的职业发展中，传统的职业发展路径逐渐无法满足新时期的需求。（剩余4424字）