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Displaying 61 - 67 of 67 results
Yelamarthi, K., & Mawasha, R. (2010). A Scholarship Model for Student Recruitment and Retention in STEM Disciplines. Journal of STEM Education, 11(5 & 6), 25–32.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Low-Favorable impactsEducation and skills gains
Melchior, A., Cohen, F., Cutter, T., & Leavitt, T. (2005). More than robots: An evaluation of the FIRST robotics competition participant and institutional impacts. Waltham, MA: Brandeis University Center for Youth and Communities Heller School for Social Policy and Management.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Low-Favorable impactsEducation and skills gains
Rivera, M., Davis, M., Feldman, A., & Rachkowski, C. (2013). An outcome evaluation of an adult education and postsecondary alignment program: The Accelerate New Mexico experience. Problems and Perspectives in Management, 11(4), 105-120.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Low-Favorable impactsAttitudes
Wang, M., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 1-37
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Toglia, T. (2013). Gender equity issues in CTE and STEM education. TechDirections, 72, 14-18.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Gunderson, E., Ramirez, G., Levine, S., & Beilock, S. (2012). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 66, 153-166.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Riegle-Crumb, C., & Humphries, M. (2012). Exploring bias in math teachers’ perceptions of students’ ability by gender and race/ethnicity. Gender & Society, 26(2), 290-322.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis