Title:
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DESIGN OF LEARNING ANALYTICS DASHBOARD SUPPORTING METACOGNITION |
Author(s):
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Li Chen, Min Lu, Yoshiko Goda and Masanori Yamada |
ISBN:
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978-989-8533-93-7 |
Editors:
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Demetrios G. Sampson, Dirk Ifenthaler, Pedro IsaĆas and Maria Lidia Mascia |
Year:
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2019 |
Edition:
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Single |
Keywords:
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Metacognition, Self-Regulated Learning, Dashboard, Learning Analytics |
Type:
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Full Paper |
First Page:
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175 |
Last Page:
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182 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and
efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition.
In this study, we designed a learning analytics dashboard to improve self-regulated learning in online environments
through the collection and analysis of learning log data. There are two separate dashboards used in our system:
a knowledge monitoring dashboard and a strategy use dashboard. The knowledge monitoring dashboard is designed to
support the knowledge monitoring skills of learners, allowing them to monitor their prior knowledge, whereas the
strategy use dashboard is designed to help learners develop metacognitive skills of planning, monitoring, and regulation. |
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