Constructivist Design for Interactive Machine Learning
Constructivist Design for Interactive Machine Learning
复制标题
交互式机器学习的建构主义设计
DOI：
10.1145/2851581.2892547
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Advait Sarkar
中科院分区：
文献类型：
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作者：
Advait Sarkar
交互式机器学习系统允许最终用户（通常是非专家）构建和应用统计模型以供自己使用。建构主义认为，当思想和经验相互作用时，学习就会发生。我认为，交互式机器学习的目标可以被解释为建构主义。通过这样描述它们，我展示了建构主义学习环境如何为交互式机器学习系统的设计提出关键问题。
Interactive machine learning systems allow end-users, often non-experts, to build and apply statistical models for their own uses. Constructivism is the view that learning occurs when ideas and experiences interact. I argue that the objectives of interactive machine learning can be interpreted as constructivist. By so characterising them, I show how constructivist learning environments pose critical questions for the design of interactive machine learning systems.