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首页> 外文期刊>Computers in Human Behavior >Enhancing learning with inspectable student models: Worth the effort?
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Enhancing learning with inspectable student models: Worth the effort?

机译：用无法检查学生模型加强学习：值得努力吗？

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摘要

In electronic learning environments, information about a student's performance can be provided to the student in the form of an inspectable student model. While relatively easy to implement, little is known about whether students use the feedback provided by such models and whether they benefit from it. In this study, the use of inspectable student models in an introductory university statistics course by 599 first-year social science students was monitored. Research questions focused on whether students sought feedback from the student models, which decisions for subsequent study steps they made, and how this feedback seeking and decision making related to results on their statistics exams. Results showed a large variety among students in feedback-seeking and decision-making behavior. Lower student model scores seemed to encourage students to practice more on the same topic and higher scores seemed to evoke the decision to move to a different topic. Viewing frequency and amount of variety in decision making were positively related to exam results, even when controlling for total time students worked. These findings imply that inspectable student models can be a valuable addition to electronic learning environments and suggest that more intensive use of inspectable student models may contribute to learning.
机译：在电子学习环境中，可以以无法检查的学生模型的形式向学生提供有关学生表现的信息。虽然相对容易实现，但学生是否使用这些模型提供的反馈以及它们是否受益于其，但众所周知。在这项研究中，监测了599名第一年的第一年的社会科学学生在介绍大学统计课程中使用检测的学生模型。研究问题侧重于学生是否寻求学生模型的反馈，这是他们所做的后续研究步骤的决定，以及如何寻求的反馈和决策与结果有关的统计考试。结果表明，在反馈和决策行为中表现出大量品种。较低的学生模型分数似乎鼓励学生在同一主题上练习更多，似乎更高的分数似乎唤起了转向不同的话题的决定。即使在控制学生工作的总时间的控制时，决策中的观察频率和各种各种的数量与考试结果有关。这些发现意味着无法检查的学生模型可以是电子学习环境的宝贵补充，并建议更多的密集使用无法检查的学生模型可能有助于学习。

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