Assessing prior knowledge types as predictors of academic achievement in the introductory phase of biology and physics study programmes using logistic regression
Abstract Background Increasingly, high dropout rates in science courses at colleges and universities have led to discussions of causes and potential support measures of students. Students' prior knowledge is repeatedly mentioned as the best predictor of academic achievement. Theory describes fo...
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| Main Authors: | , , , , , |
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| Format: | Book |
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SpringerOpen,
2019-09-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |