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Enhancing learning outcomes through self-regulated learning support with an Open Learner Model

机译:通过开放学习者模型通过自我调节的学习支持来增强学习成果

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Open Learner Models (OLMs) have great potential to support students' Self-Regulated Learning (SRL) in Intelligent Tutoring Systems (ITSs). Yet few classroom experiments have been conducted to empirically evaluate whether and how an OLM can enhance students' domain level learning outcomes through the scaffolding of SRL processes in an ITS. In two classroom experiments with a total of 302 7th- and 8th-grade students, we investigated the effect of (a) an OLM that supports students' self-assessment of their equation-solving skills and (b) shared control over problem selection, on students' equation-solving abilities, enjoyment of learning with the tutor, self-assessment accuracy, and problem selection decisions. In the first, smaller experiment, the hypothesized main effect of the OLM on students' learning outcomes was confirmed; we found no main effect of shared control of problem selection, nor an interaction. In the second, larger experiment, the hypothesized main effects were not confirmed, but we found an interaction such that the students who had access to the OLM learned significantly better equation-solving skills than their counterparts when shared control over problem selection was offered in the system. Thus, the two exper-iments support the notion that an OLM can enhance students' domain-level learning outcomes through scaffolding of SRL processes, and are among the first in-vivo classroom experiments to do so. They suggest that an OLM is especially effective if it is designed to support multiple SRL processes.
机译:开放学习者模型(OLM)在智能辅导系统(ITS)中具有巨大的潜力来支持学生的自我调节学习(SRL)。然而,很少有课堂实验可以凭经验评估OLM是否以及如何通过ITS中的SRL流程来增强学生的领域水平的学习成果。在总共302名7年级和8年级学生的两个课堂实验中,我们研究了(a)支持学生对自己的方程式求解技能进行自我评估的OLM和(b)对问题选择的共同控制,关于学生的方程式解决能力,与导师一起学习的乐趣,自我评估的准确性以及问题选择决策的能力。在第一个较小的实验中,证实了OLM对学生学习成果的假设主要影响。我们没有发现共享控制问题选择的主要作用,也没有互动。在第二个更大的实验中,假设的主要影响没有得到证实,但是我们发现了一种交互作用,当在课堂上提供对问题选择的共享控制时,使用OLM的学生比同龄人学习到明显更好的方程式求解技能。系统。因此,这两项实验都支持OLM可以通过SRL流程的脚手架来增强学生的领域级学习成果的观点,并且是这样做的第一个体内课堂实验。他们认为,如果将OLM设计为支持多个SRL流程,则它特别有效。

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