We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences. We shortly introduce the importance of explaining ADM systems, give a brief overview of approaches drawing from other disciplines to improve explanations, and present the results of our qualitative task-based study incorporating the "six facets of understanding" framework. We close with questions guiding the discussion of how future studies can leverage an interdisciplinary approach.

翻译：我们认为，算法决策（ADM）系统的解释可以通过采用学习科学中已有的实践而获益。我们简要介绍了解释ADM系统的重要性，概述了借鉴其他学科改进解释的方法，并展示了我们纳入"理解六侧面"框架的定性任务研究成果。最后，我们提出引导讨论的问题，探讨未来研究如何利用跨学科方法。