This paper provides a short introduction to the field of machine learning for interactive pedagogical systems. Departing from different examples encountered in interactive pedagogical systems—such as intelligent tutoring systems or serious games—we go over several representative families of methods in machine learning, introducing key concepts in this field. We discuss common challenges in machine learning and how current methods address such challenges. Conversely, by anchoring our presentation on actual interactive pedagogical systems, highlight how machine learning can benefit the development of such systems.

中文翻译：

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交互式教学系统的机器学习教程

本文简要介绍了交互式教学系统的机器学习领域。与交互式教学系统（例如智能辅导系统或严肃游戏）中遇到的不同示例不同，我们介绍了机器学习中的几种代表性方法，介绍了该领域的关键概念。我们讨论了机器学习中的常见挑战，以及当前的方法如何应对这些挑战。相反，通过将我们的演示文稿固定在实际的交互式教学系统上，重点介绍机器学习如何使此类系统的开发受益。