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  1. Introduction The United States struggles with racial/ethnic disparities in STEM (science, technology, engineering, mathematics) degrees and occupations. According to situated expectancy-value theory, the experience and knowledge parents gain through STEM degrees and occupations shape the STEM support they provide and relatedly their adolescents' STEM motivational beliefs. Methods We analyzed data from the High School Longitudinal Study (N = 14,000; 50% female; Mage = 14 years old at 9th grade), which is a recent U.S. data set that surveyed a nationally representative sample of adolescents. Results and Conclusions Results showed that parent STEM support in 9th grade and adolescent STEM motivational beliefs in 11th grade were lower in families where parents did not have a STEM degree/occupation than in families where at least one parent had a STEM degree/occupation. Our within-group analyses suggested that parents' STEM support was generally positively related to adolescents' STEM motivational beliefs among families where parents did not have a STEM degree/occupation for all racial/ethnic groups except Black adolescents. However, these relations were not significant among adolescents who had a parent STEM degree/occupation. Furthermore, although Asian and White adolescents' parents were more likely to hold a STEM degree/occupation than Latina/o and Black adolescents' parents, the associations between parent STEM support and adolescents' STEM motivational beliefs emerged for Asian, Latina/o, and White adolescents. 
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  2. The racial/ethnic disparities and average declines in science, technology, engineering, and mathematics (STEM) motivation during adolescence are worrisome. Although STEM motivational beliefs are theorized to function in conjunction with one another, the unique patterns and how they change over time for different racial/ethnic groups remain understudied. Using data from the High School Longitudinal Study ( N = 18,260), we identified four and five patterns of math and science motivational beliefs in 9th and 11th grade, respectively, and examined their prevalence among Asian, Black, Latina/o, White, and Multiracial adolescents. We found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Then, we charted the stability and changes in those patterns from 9th to 11th grade for each racial/ethnic group and how the patterns at 11th grade were associated with adolescents’ STEM career expectations and high school math and science grade point averages. 
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  3. Opportunities for collaborative learning reflect positive peer processes that have strong implications for adolescents’ developmental experiences in afterschool programs (ASPs). However, collaborative learning, which involves considering multiple viewpoints and coordinating actions with peers to accomplish a shared goal, is often difficult for adolescents to navigate. Utilizing qualitative methods, the purpose of this study was to identify ASP mentoring strategies that promote collaborative learning among adolescent participants. Based on the experiences and perspectives of college student mentors who serve as frontline staff of a math enrichment ASP for Latino/a middle school students, we identified four mentoring strategies that promote collaborative learning: (1) nurturing personal connections with and among youth, (2) establishing positive group norms, (3) strategically splitting groups and work, and (4) modeling collaborative behaviors. These strategies reflect best practices that frontline staff can utilize to promote adolescents’ collaborative learning, skill development, and engagement in ASPs. Practical implications and directions for future research are discussed. 
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