Multimodal Learning Analytics - Enabling the Future of Learning through Multimodal Data Analysis and Interfaces

被引:0
|
作者
Worsley, Marcelo [1 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
关键词
Constructionism; Probabilistic Modeling; Learning; Data Mining;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Project-based learning has found its way into a range of formal and informal learning environments. However, systematically assessing these environments remains a significant challenge. Traditional assessments, which focus on learning outcomes, seem incongruent with the process-oriented goals of project-based learning. Multimodal interfaces and multimodal learning analytics hold significant promise for assessing learning in open-ended learning environments. With its rich integration of a multitude of data streams and naturalistic interfaces, this area of research may help usher in a new wave of education reform by supporting alternative modes of learning.
引用
收藏
页码:353 / 356
页数:4
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