建构人工智能职业本科专业通用性能力模型:学理探讨与实践理路  

Constructing a Universal Competence Model for Tertiary⁃Level Vocational Specialties in Artificial Intelligence:A Theoretical Exploration and Practice Path

作　　者：丁杰 刘芳芳 胡光永 DING Jie;LIU Fangfang;HU Guangyong(Nanjing Vocational University of Industry Technology,Nanjing 210023,China)

机构地区：[1]南京工业职业技术大学,江苏南京210023

出　　处：《江苏高职教育》2025年第2期59-70,共12页Jiangsu Higher Vocational Education

基　　金：教育部人文社会科学研究青年基金项目“面向职业本科教育的个性化智适应教学模式与技术研究”(编号:23YJC880132);江苏省教育科学规划课题“职业本科学生技术学习进阶路径研究”(编号:B/2023/02/01);南京工业职业技术大学校本教育研究课题“职业本科专业人才通用能力基本要素及关键问题研究”(编号:ZBYB22-06)。

摘　　要：人工智能赋能产业发展对高端技能人才提出了新挑战和新要求。基于人工智能行业岗位需求,从个体综合素质、专业核心能力和社会化职业素养三个方面出发,系统分析了职业通用性能力的内涵,从系统论视角重构个体综合素质,以数据和计算思维重构专业核心能力,对标新型数字职业重构社会化职业素养,对能力要素进行了量化分析,提出了适用于人工智能专业人才的通用性能力模型,并进一步探索了将通用性能力融入课程教学的能力矩阵开发方法和实施路径。AI-powered industrial development poses new challenges and requirements for highly skilled talents.Based on the job competency requirements of the AI industry,a systematic analysis was conducted on the connotation of general competencies from the three dimensions of individual comprehensive qualities,specialty core competencies,and socialized professional literacy.By reconstructing individual comprehensive qualities from a system theory perspective,redefining specialty core competencies through data and computational thinking,and aligning socialized professional literacy with emerging digital occupations,a quantitative analysis was conducted on the competency elements,and a general competency model tailored for AI professionals was proposed.Furthermore,development approaches and implementation paths for integrating these general competencies into the capability matrix of curriculum teaching were explored.

关 键 词：职业本科 通用性能力 能力矩阵 人工智能专业 

分 类 号：G718.5[文化科学—职业技术教育学]