Assessing prior knowledge types as predictors of academic achievement in the introductory phase of biology and physics study programmes using logistic regression

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 four hi...

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Bibliographic Details
Main Authors: Torsten Binder, Angela Sandmann, Bernd Sures, Gunnar Friege, Heike Theyssen, Philipp Schmiemann
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:International Journal of STEM Education
Subjects:
Biology
Physics
Higher education
Academic achievement
Knowledge types
Online Access:http://link.springer.com/article/10.1186/s40594-019-0189-9

Internet

http://link.springer.com/article/10.1186/s40594-019-0189-9

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