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Design and evaluation of a case-based system for modelling exploratory learning behaviour of math generalisation

机译:设计和评估基于案例的数学综合探究性学习行为建模系统

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摘要

Exploratory learning environments (ELEs) promote a view of learning that encourages students to construct and/or exploreudmodels and observe the effects of modifying their parameters. The freedom given to learners in this exploration context leads to audvariety of learner approaches for constructing models and makes modelling of learner behaviour a challenging task. To address thisudissue, we propose a learner modelling mechanism for monitoring learners’ actions when constructing/exploring models by modellingudsequences of actions reflecting different strategies in solving a task. This is based on a modified version of case-based reasoning forudproblems with multiple solutions. In our formulation, approaches to explore the task are represented as sequences of simple casesudlinked by temporal and dependency relations, which are mapped to the learners’ behaviour in the system by means of appropriateudsimilarity metrics. This paper presents the development and validation of the modelling mechanism. The model was validated in theudcontext of an ELE for mathematical generalisation using data from classroom sessions and pedagogically-driven learning scenarios.
机译:探索性学习环境(ELEs)促进了学习观的发展,鼓励学生构建和/或探索 udmodels并观察修改其参数的效果。在这种探索背景下给予学习者的自由导致学习者构建模型的方法多样化,并使学习者行为的建模成为一项艰巨的任务。为了解决这个问题,我们提出了一种学习者建模机制,该模型通过模拟反映解决任务的不同策略的行为的顺序/顺序来监视学习者在构建/探索模型时的行为。这基于具有多种解决方案的 udproblems基于案例的推理的修改版本。在我们的表述中,探索任务的方法表示为简单案例的序列,这些案例通过时间和依存关系相互关联,并通过适当的相似度指标映射到系统中学习者的行为。本文介绍了建模机制的开发和验证。该模型已在ELE的上下文中进行了验证,可使用课堂会议和教学驱动的学习场景中的数据进行数学概括。

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