以知识点为中心建设AI+X微专业

吴飞; 陈为; 孙凌云; 肖俊

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以知识点为中心建设AI+X微专业

AI人才培养 | 更新时间：2023-04-26

- 以知识点为中心建设AI+X微专业
- The Building of AI+X Micro-Program around the Tree of Knowledge
- 科教发展研究 2023年3卷第1期页码：96-116
- 作者机构：
  
  1.浙江大学计算机科学与技术学院
- 作者简介：
  
  吴飞，浙江大学人工智能研究所所长、上海高等研究院常务副院长，教授，博士生导师；研究领域为人工智能和多媒体分析。
  陈为，浙江大学计算机辅助设计与图形学国家重点实验室副主任，教授，博士生导师；研究领域为可视化和大数据智能。
  孙凌云，浙江大学计算机科学与技术学院副院长，教授，博士生导师；研究领域为人工智能和设计智能等。
  肖俊，浙江大学人工智能研究所副所长，教授，博士生导师；研究领域为机器学习和跨媒体计算等。
- 基金信息：
- DOI：
  中图分类号：
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吴飞，陈为，孙凌云，等.以知识点为中心建设AI+X微专业[J].科教发展研究，2023，3（1）：96-116.

WU Fei, CHEN Wei, SUN Lingyun, et al. The Building of AI+X Micro-Program around the Tree of Knowledge[J]. Journal of Science, Technology and Education Studies, 2023, 3(1): 96-116.
吴飞，陈为，孙凌云，等.以知识点为中心建设AI+X微专业[J].科教发展研究，2023，3（1）：96-116. DOI：

WU Fei, CHEN Wei, SUN Lingyun, et al. The Building of AI+X Micro-Program around the Tree of Knowledge[J]. Journal of Science, Technology and Education Studies, 2023, 3(1): 96-116. DOI：

摘要

认知是人类智能的重要表现，其基石和燃料是规范化的知识（如概念、属性和关系等），基于规范化的知识就可形成对学习对象的理解和分类。不同学科之间知识点的交融汇通是向科学本质回归，助力产生科学新的增长点和突破点，人工智能（Artificial Intelligence, AI）在学科交叉中可发挥催化剂和使能器的重要作用。因此，在掌握本学科知识的同时，又掌握人工智能基本技术，具备跨学科潜力和迁移技能的专业人员变得越来越重要。文章探讨了以知识点为核心，“教材出版、课程设立和平台研制”三位一体来建设非计算机专业和非人工智能专业学生AI+X微专业的实践。

Abstract

Cognition is an important manifestation of human intelligence, and its cornerstone and fuel are standardized knowledge (such as concepts, attributes, and relationships). Boosted by the standardized knowledge, understanding and classification of learning objects can be fulfilled. The convergence of the tree of knowledge between different disciplines is a return to the essence of science, helping to generate new knowledge and achieve breakthroughs in science. Artificial intelligence can play an important role as a catalyst and empowering tools in interdisciplinary interactions. As a result, demand for professionals from other disciplines who are hard-wired in AI technology knowledge but who also possess interdisciplinary perspectives and transferable skills is becoming increasingly pressing. This article discusses the practice of building AI+X micro-programs for non-computer and non-artificial intelligence majors by integrating "textbook, course and platform" around the tree of knowledge.

关键词

学科交叉AI+X微专业人工智能知识点

Keywords

Inter-disciplinaryAI+X Micro-ProgramArtificial Intelligencethe Tree of Knowledge

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