Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: 1) the primary type of interaction; 2) the presentation mode; and 3) the integration in the learning system. For each of these aspects, we provide a systematic mapping of available choices and pointers to relevant research. For developers of learning systems, the framework facilitates the design and implementation of exercises. For researchers, the framework provides support for the design, description, and discussion of experiments dealing with student modeling techniques and algorithms for adaptive learning. One of the aims of the framework is to facilitate replicability and portability of research results in adaptive learning.

中文翻译：

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自适应学习系统中练习练习的分类框架

学习系统可以利用许多练习，从简单的多项选择题到复杂的问题解决活动。在本文中，我们提出了此类练习的分类框架。该框架将练习分为三个主要方面：1）互动的主要类型；2）演示方式；3）在学习系统中的整合。对于这些方面中的每一个，我们都提供了可用选择的系统映射以及对相关研究的指导。对于学习系统的开发人员而言，该框架有助于练习的设计和实施。对于研究人员而言，该框架为设计，描述和讨论与学生建模技术和自适应学习算法有关的实验提供了支持。