使用角色向学习专家解释预测模型

Christopher A. Brooks, J. Greer
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引用次数: 29

摘要

本文描述了我们开发的一种方法,将统计预测模型转换为解释学生分类的视觉叙述。在用户体验社区完成工作的基础上,我们将角色的概念应用于预测模型。这些人物角色为数据挖掘活动所识别的学习者提供了熟悉而难忘的描述,并弥合了数据科学家和学习专家之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explaining predictive models to learning specialists using personas
This paper describes a method we have developed to convert statistical predictive models into visual narratives which explain student classifications. Building off of the work done within the user experience community, we apply the concept of personas to predictive models. These personas provide familiar and memorable descriptions of the learners identified by data mining activities, and bridge the gap between the data scientist and the learning specialist.
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