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Binder, Torsten; Sandmann, Angela; Sures, Bernd; Friege, Gunnar; Theyssen, Heike; Schmiemann, Philipp – International Journal of STEM Education, 2019
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 hierarchically ordered types of prior knowledge, from…
Descriptors: Prior Learning, Knowledge Level, Science Instruction, Biology
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Cromley, Jennifer G.; Kaplan, Avi; Totonchi, Delaram A.; Stine, Kevin; Mara, Kyle R.; Balsai, Michael; Ta – AERA Online Paper Repository, 2017
We built on two cognitive and three motivational theoretical constructs to create a combined intervention aiming to improve course achievement and retention in STEM for first-year ("gateway") biology students. Participants were 350 students in one of 8 conditions or a no-treatment control group. Messages supporting cognition and…
Descriptors: Undergraduate Students, Biology, Science Instruction, Management Systems
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Shapka, Jennifer D.; Keating, Daniel P. – American Educational Research Journal, 2003
This article investigates the benefits of girls-only classroom instruction in math and science during Grades 9 and 10, in the context of a public coeducational high school. It is based on a longitudinal investigation with 786 participants: 85 girls in all-girl classes, and 319 girls and 382 boys in a regular coeducational program. Preexisting…
Descriptors: Psychological Characteristics, Intervention, Females, Science Achievement
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection