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 |
Online Reference: |
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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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Notes (Theories): |
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Notes (Technologies): |
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Notes (Applications): |
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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Notes (Impacts): |
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