[1]张坤颖,张家年.人工智能教育应用与研究中的新区、误区、盲区与禁区[J].远程教育杂志,2017,(05):054-63.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.005]
 Zhang Kunying,Zhang Jianian.The New Area, Misunderstanding, Blind Area and Restricted Zone in Studies and Practice of Artificial Intelligence in Education(AIED)[J].Distance Education Journal,2017,(05):054-63.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.005]
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人工智能教育应用与研究中的新区、误区、盲区与禁区()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年05期
页码:
054-63
栏目:
前沿探索
出版日期:
2017-09-20

文章信息/Info

Title:
The New Area, Misunderstanding, Blind Area and Restricted Zone in Studies and Practice of Artificial Intelligence in Education(AIED)
作者:
张坤颖; 张家年
1. 淮北师范大学 教育学院;2. 淮北师范大学 安徽省高校管理大数据研究中心,安徽淮北 235000
Author(s):
Zhang Kunying; Zhang Jianian
1. School of Education, Huaibei Normal University; 2. Anhui Big-data Research Center on University Management, Huaibei Normal University, Huaibei Anhui 235000
关键词:
人工智能AI人工智能教育应用教育生态系统教育模式
Keywords:
Artificial intelligence AI Artificial intelligence in education (AIED) Educational ecosystem Educational model
分类号:
G40-057
DOI:
10.15881/j.cnki.cn33-1304/g4.2017.05.005
文献标志码:
A
摘要:
以大数据、云计算、移动互联网等技术为代表的信息技术生态系统的形成和发展,推动了人工智能技术迅速发展,也促进了人工智能的教育应用和研究。但是,在人工智能教育应用与研究过程中仍存在本质认知、理念态度、实践领域和应用边界等方面的问题。为此,在梳理人工智能教育应用现状和发展后,重点分析了人工智能教育应用或研究中“新区”、“误区”、“盲区”和“禁区”及原因;在阐明人工智能与教育的关系、融合模式的基础上,讨论了人工智能教育应用中的对策。最终,将增能、使能和赋能的人工智能技术与教育的本质相融合,并提供了理论框架,对利用人工智能实现教育过程最优化具有一定理论参考意义。
Abstract:
The technological ecosystem of big data, cloud computing and mobile internet has been driving artificial intelligence to develop quickly. Meanwhile, it also promotes studies and practice of artificial intelligence in education(AIED). However, there are certain problems in AIED, such as the cognition of nature, concepts and attitude, practical field and boundary of AIED. Firstly, after combing the status quo and development of AIED, this paper analyzes the new area, misunderstanding, blind area and restricted zone of the studies and practice of AIED. And then, the paper illuminates the relationship, integrating model between artificial intelligence and education, and puts forward proposals for AIED. The paper also provides the theoretical framework of integrating artificial intelligence and educational nature, it can provide theoretical reference value of making use of AIED to realize the optimization of the educational process.

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备注/Memo

备注/Memo:
基金项目:本文系安徽省人文社科重点项目“儿童数学学习障碍诊断专家系统研究”(项目编号:SK2016 A0823);安徽省哲学社会科学规划一般项目“微媒体语境下家庭教育资源平台建设研究”(项目编号:AHSK Y2016D34);淮北师范大学教学研究项目“基于微课的高校公共实验课网络化研究”(项目编号:2015XXH195)的研究成果。
更新日期/Last Update: 2017-09-21