人工智能赋能教育和心理学研究中的数据处理

被引：8

作者：

刘冬予 ^{[1
]}

骆方 ^{[2
]}

机构：

[1] 香港大学

[2] 北京师范大学

来源：

中国考试 | 2024年 / 03期

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

页码：18 / 27

页数：10

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