期刊
CONTEMPORARY EDUCATIONAL PSYCHOLOGY
卷 76, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cedpsych.2023.102240
关键词
Situated expectancy -value theory; STEM career aspirations; Math motivation; Math achievement; Black students
This study explored individual and gendered differences in Black students' motivation for learning mathematics using Situated Expectancy-Value Theory constructs. The results showed that math motivation profiles in 6th grade predicted 10th grade math achievement, but not STEM career aspirations. Additionally, the study found that Black girls were less likely to be in the high motivational profile than Black boys.
The current study explored individual and gendered differences in Black students' motivation for learning mathematics using three key Situated Expectancy-Value Theory (SEVT) constructs (expectancies of success, in-terest, and importance). It also evaluated whether math motivational profiles in 6th grade or 10th grade pre-dicted math achievement and STEM career aspirations in 10th grade among Black students while controlling for prior math achievement. Black students (n = 408, 55% female) attending schools in a metropolitan area of Tennessee, USA and mostly from families surviving economic marginalization completed surveys and math achievement assessments across middle and high school. Latent Profile Analysis identified three profiles of math motivation in 6th grade, including a profile of high motivation across constructs, and Black girls were less likely to be in the high motivational profile than Black boys. Profile membership in 6th grade predicted 10th grade math achievement. In contrast, math motivation profiles in 6th grade did not predict STEM career aspirations in 10th grade. Parallel analyses for concurrent relations in 10th grade were similar, except that there were no gender differences in profile prevalence. Overall, findings suggest that SEVT is useful for understanding moti-vation and academic performance among Black students when a person-centered analytic approach is used, but more work is needed to expand the theory to understand the development of Black students' STEM career aspirations.
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