Conference proceeding
The Impacts of Instructor and Student Gender on Student Performance in Introductory Modeling Instruction Courses
2014 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 183-186
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study considers the impact of instructor on the gender gap in students' scores on the Force Concept Inventory (FCI) in Modeling Instruction (MI) courses at Florida International University (FIU). Earlier work has shown that MI had increased FCI scores overall when compared to traditional lecture courses; however, the gap between male and female students' scores in the MI courses increased over the course of the semester. Student data were collected from 559 students at FIU, over 18 semesters, with 10 different instructors. General linear regression was used to determine the significance of the student gender and instructor factors in predicting a student's FCI score post-instruction and the fraction of variance explained by these factors. Effect sizes were then calculated from the difference in female students' gains from male students' gains and compared between instructors. Analysis showed an instructor-independent, medium effect favoring male students' scores on the FCI.
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Details
- Title
- The Impacts of Instructor and Student Gender on Student Performance in Introductory Modeling Instruction Courses
- Creators
- Daryl McPadden - Florida Int Univ, Dept Phys, 11200 SW 8th St, Miami, FL 33199 USAEric Brewe - Florida International University
- Contributors
- P V Engelhardt (Editor)A D Churukian (Editor)D L Jones (Editor)
- Publication Details
- 2014 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 183-186
- Series
- Physics Education Research Conference
- Publisher
- Amer Assoc Physics Teachers
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000375145900044
- Other Identifier
- 991021877485504721
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Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Education & Educational Research
- Education, Scientific Disciplines
- Physics, Multidisciplinary