新质生产力背景下交叉学科研究生培养模式探索与实践——基于“光电 + 人工智能”的教育模式

Exploration and Practice of Interdisciplinary Postgraduate Cultivation Model in the Context of New Quality Productive Forces—A Teaching Model Based on “Optoelectronics + AI”

摘要: 随着人工智能与新一代信息技术的飞速发展，光电产业正经历智能化转型，对具备跨学科背景的复合型人才需求日益迫切。针对当前研究生培养中课程内容滞后、实践环节薄弱及评价机制不完善等痛点，本文提出构建“光电 + AI”交叉学科培养模式。本文从重构模块化课程体系、创新“虚实融合”实践教学、深化产教协同机制及完善多维度评价体系四个维度，系统论述了该模式的实施路径。该模式旨在打破学科壁垒，通过AI技术赋能提升学生的创新实践与科研能力，为新质生产力背景下高素质光电人才的培养提供新路径。

Abstract: With the rapid development of artificial intelligence and next-generation information technology, the optoelectronics industry is undergoing an intelligent transformation, resulting in an increasingly urgent demand for composite talents with interdisciplinary backgrounds. Addressing current pain points in graduate training, such as lagging curriculum content, weak practical links, and inadequate evaluation mechanisms, this paper proposes the construction of an “Optoelectronics + AI” interdisciplinary training mode. The implementation path of this mode is systematically discussed across four dimensions: reconstructing a modular curriculum system, innovating “virtual-real fusion” practical teaching, deepening industry-education synergy mechanisms, and refining multidimensional evaluation systems. This mode aims to break down disciplinary barriers and enhance students’ innovative practice and scientific research capabilities through AI technology empowerment. Ultimately, it provides a new path for the cultivation of high-quality optoelectronic talents under the background of new quality productive forces.