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Title: Identifying Productive Inquiry in Virtual Labs Using Sequence Mining
Source: DOI: 10.1007/978-3-319-61425-0_24
Author(s): Sarah Perez, Jonathan Massey-Allard, Deborah Butler, Joss Ives, Doug Bonn, Nikki Yee, and Ido Roll
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Abstract:

Virtual labs are exploratory learning environments in which students learn by conducting inquiry to uncover the underlying scientific model. Although students often fail to learn efficiently in these environ- ments, providing effective support is challenging since it is unclear what productive engagement looks like. This paper focuses on the mining and identification of student inquiry strategies during an unstructured activ- ity with the DC Circuit Construction Kit (https://phet.colorado.edu/). We use an information theoretic sequence mining method to identify pro- ductive and unproductive strategies of a hundred students. Low domain knowledge students who successfully learned during the activity paused more after testing their circuits, particularly on simply structured cir- cuits that target the activity’s learning goals, and mainly earlier in the activity. Moreover, our results show that a strategic use of pauses so that they become opportunities for reflection and planning is highly associated with productive learning. Implication to theory, support, and assessment are discussed.


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Relevant Principles (APA): 原理16 遵循科学的行为原理和有效的课堂教学,学生可以 领会到教师对其课堂行为以及社会互动的期望和要 求
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虚拟实验室是一种探索性的学习环境,学生通过进行探究来学习,从而发现潜在的科学模型。

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