人工智能赋能应用型本科院校人才培养：挑战、路径与实践探索

Empowering Talent Cultivation in Application-Oriented Undergraduate Colleges with Artificial Intelligence: Challenges, Paths and Practical Explorations

摘要: 在全球新一轮科技革命与产业变革背景下，人工智能技术正深刻重塑高等教育人才培养模式。应用型本科院校作为培养高层次应用型人才的核心阵地，需主动适配人工智能时代的产业需求与技术特征。本文结合多所应用型本科院校的实践案例，系统分析了人工智能融入人才培养过程中面临的培养目标模糊、课程体系滞后、师资力量薄弱、实践平台不足及评价机制单一等问题，并从培养目标重构、课程体系优化、师资队伍建设、实践平台搭建、产教深度融合及评价模型创新六个维度，提出了人工智能赋能应用型本科院校人才培养的具体路径。研究表明，通过“技术融入 + 模式创新”的双轮驱动，可有效提升学生的智能技术应用能力与工程实践素养，为应用型本科院校应对人工智能时代挑战、实现人才培养质量升级提供参考。

Abstract: In the context of the new round of global scientific and technological revolution and industrial transformation, artificial intelligence technology is profoundly reshaping the talent cultivation model in higher education. As a core front for cultivating high-level applied talents, application-oriented undergraduate colleges and universities need to actively adapt to the industrial demands and technological characteristics of the artificial intelligence era. Combining practical cases from multiple application-oriented undergraduate colleges and universities, this paper systematically analyzes the problems faced in the process of integrating artificial intelligence into talent cultivation, such as vague training objectives, lagging curriculum systems, weak faculty strength, insufficient practical platforms, and single evaluation mechanisms. From six dimensions including reconstruction of training objectives, optimization of curriculum systems, construction of faculty teams, establishment of practical platforms, in-depth integration of industry and education, and innovation of evaluation models, this paper proposes specific paths for artificial intelligence to empower talent cultivation in application-oriented undergraduate colleges and universities. Research shows that through the dual-wheel drive of “technology integration + model innovation”, students’ intelligent technology application capabilities and engineering practice qualities can be effectively improved, providing references for application-oriented undergraduate colleges and universities to meet the challenges of the artificial intelligence era and achieve an upgrade in talent cultivation quality.