摘要
结合当前大数据现状,探讨了人工智能人才培养的可行模式。从基础知识、实践能力、研究能力培养三方面对智能人才培养进行了内在式分析与探讨,逻辑性地论证了所提培养模式具有一定可行性。
In this paper, we studied the feasible paradigm of the development of artificial intelligence (AI) talent based on the current development of Big Data. We analyze and discuss the AI talent development in an intrinsic way from the aspects of basic knowledge, practicing ability, and research ability, the logical argument indicates the proposed development paradigm possesses a certain degree of feasibility.
作者
骆威
黄颖
韦婷婷
LUO Wei;HUANG Ying;WEI Ting-ting(College of mathematics and Informatics,South China Agricultural University,Guangzhou,Guangdong,510000,China;Faculty ofLiberal Arts and Social Sciences,The Education University of Hong Kong,Hong Kong,99907)
出处
《教育信息化论坛》
2018年第12期5-6,共2页
Educational Informatization Forum
基金
华南农业大学本科教学改革项目“智能决策课程体系整体优化研究与实践”(编号:JG18047)
“人工智能背景下信息管理与信息系统专业综合实践教学模式探究与实践”(编号:JG18041)
关键词
大数据
人工智能
学科专业
人才培养
Big Data
artificial intelligence
major
talent development
