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Title:
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MINING, ANALYZING, AND MODELING THE COGNITIVE STRATEGIES STUDENTS USE TO CONSTRUCT HIGHER QUALITY CAUSAL MAPS |
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Author(s):
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Allan Jeong and Hyoung Seok-Shin |
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ISBN:
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978-989-8704-52-8 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Critical Thinking, Knowledge Maps, Learning Analytics |
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Type:
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Full |
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First Page:
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233 |
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Last Page:
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240 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the same processes produce higher-quality causal maps. This study analyzed the first five nodes that students (n = 37) placed in their causal maps to reveal that: 1) use of backward, forward, breadth-first, and depth-first processing produced maps of similar quality |
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