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Open Learner Models for Multi-activity Educational Systems

机译：开放式学习者模型，用于多项活动教育系统

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In recent years, there has been an increasing trend in the use of student-centred approaches within educational systems that engage students in various higher-order learning activities such as creating resources, creating solutions, rating the quality of resources, and giving feedback. In response to this trend, this paper proposes an interpretable and open learner model called MA-Elo that capture an abstract representation of a student's knowledge state based on their engagement with multiple types of learning activities. We apply MA-Elo to three data sets obtained from an educational system supporting multiple student activities. Results indicate that the proposed approach can provide a higher predictive performance compared with baseline and some state-of-the-art learner models.
机译：近年来，在教育系统中使用学生以学生为中心的方法在各种高阶学习活动中使用的教育系统中的使用越来越呈增加趋势，如创造资源，创造解决方案，评定资源质量，并提供反馈。 为了响应这一趋势，本文提出了一个称为Ma-Elo的可解释和开放的学习者模型，基于他们的多种学习活动的参与来捕获学生知识状态的抽象表达。 我们将MA-ELO应用于支持多个学生活动的教育系统获得的三个数据集。 结果表明，与基线和一些最先进的学习者模型相比，该方法可以提供更高的预测性能。

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