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Zeyer, Albert; Çetin-Dindar, Ayla; Md Zain, Ahmad Nurulazam; Juriševic, Mojca; Devetak, Iztok; Odermatt, Freia – Journal of Research in Science Teaching, 2013
The present study is based on the empathizing-systemizing (E-S) theory of cognitive science. It was hypothesized that the influence of students' gender on their motivation to learn science is often overestimated in the research literature and that cognitive style is more important for motivation than students' gender. By using structural equation…
Descriptors: Hypothesis Testing, Gender Differences, Student Motivation, Learning Motivation
Peer reviewedEflin, Juli T.; Kite, Mary E. – Teaching of Psychology, 1996
Describes a teaching activity that improves students' scientific reasoning by focusing attention on the causal, explanatory nature of psychological theories. Students learn and use an argument form called Inference to the Best Explanation (IBE). Includes examples of this technique and student responses to the course. (MJP)
Descriptors: Attribution Theory, Behavior, Causal Models, Educational Strategies
Peer reviewedJohnson, David E. – Teaching of Psychology, 1996
Provides an exercise for introducing research methods to undergraduates. The students view a graph revealing that left-handed people are underrepresented in older age groups. Small group discussions attempt to explain this phenomenon. A follow-up class discussion focuses on the different approaches and methods available for interpreting the data.…
Descriptors: Causal Models, Critical Thinking, Data Interpretation, Factor Analysis
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

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