| 引用本文: | 肖卓宇,陈 果,郭 杰,黄 俊,徐运标.“人工智能+教育”融合视域下的人才培养研究[J].软件工程,2021,24(1):57-59.【点击复制】 |
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| 摘 要: 针对“人工智能+教育”融合视域下的人才培养出现的众多问题，归纳了人工智能(AI)赋能职业教育AI人才培养的挑战，探究了人工智能课程体系建设和持续学习存在的困难，给出了人工智能赋能职业教育AI人才培养的建议，关注了AI技术师资人才梯队建设、人工智能实训平台建设、人工智能课程知识体系建设。教学改革结果表明，新方法促进了“人工智能+教育”融合视域下人才培养基础理论和实施路径的发展。 |
| 关键词: 人工智能+教育；课程体系；人才培养；深度学习 |
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中图分类号: TP311
文献标识码: A
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| 基金项目: 湖南省教育科学“十三五”规划课题“人工智能+教育”融合的内涵、模型及实施路径研究(XJK20BXX003)资助项目成果. |
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| Research on Talent Cultivation from the Perspective of "Artificial Intelligence + Education" Integration |
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XIAO Zhuoyu, CHEN Guo, GUO Jie, HUANG Jun, XU Yunbiao
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(Hunan Industry Polytechnic, Changsha 410208, China )
xzyxzy0770@126.com; clc1234@qq.com; 34425115@qq.com; hjerryjun@gmail.com; 51551527@qq.com
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| Abstract: Aiming at the problems in talent cultivation under the vision of "Artificial Intelligence (AI) + Education" integration, this paper summarizes the challenges of AI-empowered vocational education and explores the construction and sustainability of AI curriculum. It also gives suggestions for AI talent cultivation in AI-empowered vocational education, and explains the constructions of AI teaching team, AI practical training platform, and AI curriculum system. Results of the teaching reform show that the proposed method has promoted the development of the basic theory and implementation path of talent cultivation from the perspective of "Artificial Intelligence + Education" integration. |
| Keywords: artificial intelligence + education; curriculum system; talent cultivation; deep learning |
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