人工智能赋能教育和心理学研究中的数据处理

被引:9
作者
刘冬予 [1 ]
骆方 [2 ]
机构
[1] 香港大学
[2] 北京师范大学
关键词
人工智能; 大数据; 多模态数据; 机器学习; 数据处理;
D O I
10.19360/j.cnki.11-3303/g4.2024.03.003
中图分类号
G40-05 [教育与其他科学的关系、教育学分支]; TP18 [人工智能理论];
学科分类号
040101 ; 120403 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要
开展日益复杂的教育和心理学研究亟须创新数据收集和处理手段。人工智能可以帮助研究者收集具有高生态效度、动态、精准的数据,还有助于分析处理海量、多模态的数据,从而弥补传统研究手段的诸多不足。因此,教育和心理学研究与人工智能的结合是未来发展的一大方向。然而在智能化进程中也不能过度依赖数据驱动的研究方法,融合自上而下的理论驱动和自下而上的数据驱动手段至关重要。
引用
收藏
页码:18 / 27
页数:10
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