融通与重塑：“人工智能 + X”微专业的设置逻辑、建设路径与育人模式

Integration and Reconstruction: The Establishment Logic, Construction Path and Education Model of “Artificial Intelligence + X” Micro-Majors

摘要: 数智赋能背景下，人工智能与各学科的交叉融合已成为高等教育改革的必然趋势。传统专业设置的滞后性与学科壁垒的固化效应，难以快速响应产业数智化转型对复合型人才的迫切需求，微专业作为一种小而精、灵活开放的柔性化培养载体应运而生。本文以浙江大学等高校的人工智能 + X微专业建设实践为研究对象，从设置逻辑、建设路径与育人模式三个维度展开系统探讨。研究发现：在设置逻辑上，微专业遵循场景驱动的方向遴选原则，依托多院协同与跨校联合的组织架构实现跨界重组；在建设路径上，形成了模块化课群、项目驱动教学、双栖师资队伍、产教协同机制等四维联动的实践范式；在育人模式上，致力于构筑T型知识结构，锤炼数智化胜任力，并推行多元综合的评价认证方式。本文旨在为国内高校推进人工智能赋能学科交叉融合提供参考。

Abstract: Against the backdrop of digital empowerment, the interdisciplinary integration of artificial intelligence and various disciplines has become an inevitable trend in higher education reform. The lag of traditional major setup and the solidifying effect of disciplinary barriers make it difficult to rapidly respond to the urgent demand for compound talents brought by the digital transformation of industries. As a refined, flexible and open flexible training carrier, micro-majors emerge as the times require. Taking the construction practices of “Artificial Intelligence + X” micro-majors in Zhejiang University and other universities as the research object, this paper conducts a systematic discussion from three dimensions: establishment logic, construction path and education model. The study finds that in terms of establishment logic, micro-majors follow the scenario-driven directional selection principle and realize cross-boundary reconstruction relying on the organizational structure of multi-college collaboration and inter-university alliance; in terms of construction path, a four-dimensional linked practical paradigm consisting of modular curriculum groups, project-driven teaching, dual-qualified teaching staff and industry-education collaboration mechanism has been formed; in terms of education model, efforts are made to build a T-shaped knowledge structure, polish digital competency, and implement a diversified comprehensive evaluation and certification system. This paper intends to provide references for domestic universities to promote the interdisciplinary integration empowered by artificial intelligence.