摘要
该文针对以人工智能为代表的新一代数字技术在教育领域带来的计算智能与认知规律匹配、学习活动时间与空间灵活设计、发展性与安全性博弈等新需求,提出了教育社会实验的研究范畴和设计框架,系统论述了实验目标—环境组织—方法体系—测量工具—应用反馈这5个实验环节,并选取以促进计算智能与认知规律良好拟合的智能教育应用软件测试探索实验为例解读实验结果的应用方向。为科学测量人工智能教育应用带来的真实社会影响做了路径探索。
Aiming at the new needs of matching computational intelligence and cognitive law, flexible design of time and space of learning activities, game between development and security, this paper puts forward the research category and design framework of educational social experiment. We systematically discuss the five experimental links: Experimental Objective-Environmental Organization-Method System-Measurement Tools-Application Feedback. Then we select the intelligent education application software test exploration experiment as an example to interpret the application direction of the experimental results. This will help to promote the good fitting between computational intelligence and cognitive law. These research work has done a path exploration for the scientific measurement of the real social impact brought by the educational application of artificial intelligence.
作者
童莉莉
张晨
黄荣怀
雷凤宇
杨赞波
Tong Lili;Zhang Chen;Huang Ronghuai;Lei Fengyu;Yang Zanbo(Faculty of Education,Beijing Normal University,Beijing 100875;Department of Technology and Research,Education Bureau of Guangzhou Municipality,Guangzhou 510030,Guangdong;Diannan Middle School of Xiongan New Area,Xiongan 071600,Hebei)
出处
《中国电化教育》
CSSCI
北大核心
2022年第3期62-68,共7页
China Educational Technology
基金
2020年度教育部-中国移动科研基金项目“人工智能条件下的教育实验研究”(项目编号:MCM20200404)
2021年度国家高端智库重点研究项目“智能技术变革教育的社会实验研究”(项目编号:Gb2021013)研究成果。
关键词
社会实验
人工智能
循证研究
教育规律
social experiment
Artificial Intelligence
evidence-based research
law of education