探索人类和机器注释的多模态学习分析在动手干活动之间的相互作用

Daniel Spikol, K. Avramides, M. Cukurova
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引用次数: 16

摘要

这张海报探讨了如何为STEM教育开发一个工作框架,该框架在专门构建的学习环境中使用人类注释和机器数据。我们的双重方法是开发一个强大的分析框架,并研究如何设计一个学习分析系统来支持实际的工程设计任务。来自第一个用户测试的数据与讨论的框架一起呈现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM activities
This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first user tests are presented along with the framework for discussion.
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