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1. Neural Oscillations Reveal Differences in the Process of Word Learning among School-Aged Children from Lower Socioeconomic Status Backgrounds

   https://doi.org/10.1162/nol_a_00040  

   Schneider, Julie; Abel, Alyson D.; Momsen, Jacob; Melamed, Tina C.; Maguire, Mandy J. (January 2021, Neurobiology of Language)

   null (Ed.)

   Building a robust vocabulary in grade school is essential for academic success. Children from lower socioeconomic status (SES) households on average perform below their higher SES peers on word learning tasks, negatively impacting their vocabulary; however, significant variability exists within this group. Many children from low SES homes perform as well as, or better than, their higher SES peers on measures of word learning. The current study addresses what processes underlie this variability, by comparing the neural oscillations of 44 better versus worse word learners (ages 8–15 years) from lower SES households as they infer the meaning of unknown words. Better word learners demonstrated increases in theta and beta power as a word was learned, whereas worse word learners exhibited decreases in alpha power. These group differences in neural oscillatory engagement during word learning indicate there may be different strategies employed based on differences in children’s skills. Notably, children with greater vocabulary knowledge are more likely to exhibit larger beta increases, a strategy that is associated with better word learning. This sheds new light on the mechanisms that support word learning in children from low SES households. 

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2. Social capital II: determinants of economic connectedness

   https://doi.org/10.1038/s41586-022-04997-3  

   Chetty, Raj; Jackson, Matthew O.; Kuchler, Theresa; Stroebel, Johannes; Hendren, Nathaniel; Fluegge, Robert B.; Gong, Sara; Gonzalez, Federico; Grondin, Armelle; Jacob, Matthew; et al (August 2022, Nature)

   Abstract Low levels of social interaction across class lines have generated widespread concern 1–4 and are associated with worse outcomes, such as lower rates of upward income mobility 4–7 . Here we analyse the determinants of cross-class interaction using data from Facebook, building on the analysis in our companion paper 7 . We show that about half of the social disconnection across socioeconomic lines—measured as the difference in the share of high-socioeconomic status (SES) friends between people with low and high SES—is explained by differences in exposure to people with high SES in groups such as schools and religious organizations. The other half is explained by friending bias—the tendency for people with low SES to befriend people with high SES at lower rates even conditional on exposure. Friending bias is shaped by the structure of the groups in which people interact. For example, friending bias is higher in larger and more diverse groups and lower in religious organizations than in schools and workplaces. Distinguishing exposure from friending bias is helpful for identifying interventions to increase cross-SES friendships (economic connectedness). Using fluctuations in the share of students with high SES across high school cohorts, we show that increases in high-SES exposure lead low-SES people to form more friendships with high-SES people in schools that exhibit low levels of friending bias. Thus, socioeconomic integration can increase economic connectedness in communities in which friending bias is low. By contrast, when friending bias is high, increasing cross-SES interactions among existing members may be necessary to increase economic connectedness. To support such efforts, we release privacy-protected statistics on economic connectedness, exposure and friending bias for each ZIP (postal) code, high school and college in the United States at https://www.socialcapital.org . 

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3. Socioeconomic status biases among children and adolescents: The role of school diversity and teacher beliefs in Nepal

   https://doi.org/10.1111/cdev.13796  

   Grütter, Jeanine; Dhakal, Sandesh; Killen, Melanie (April 2022, Child Development)

   Investigating socioeconomic status (SES) biases, Nepalese children and adolescents (N = 605, 52% girls, Mage = 13.21, SDage = 1.74) attending schools that varied by SES composition were asked to anticipate whether a peer would include a high or low SES character as a math partner. Novel findings were that students attending mixed SES schools were more likely to expect inclusion of a low SES character than were students attending high SES schools. With age, high SES participants attending mixed SES schools increasingly expected the inclusion of the low SES character. Moreover, teachers' democratic beliefs in high SES schools predicted inclusive expectations. Teacher beliefs and school diversity play a significant role for fostering students' inclusivity in educational contexts. 

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4. Delayed Benefits: Effects of California School District Bond Elections on Achievement by Socioeconomic Status

   https://doi.org/10.1177/0038040719892577  

   Rauscher, Emily (April 2020, Sociology of Education)

   Contradictory evidence of the relationship between education funding and student achievement could reflect heterogeneous effects by revenue source or student characteristics. This study examines potential heterogeneous effects of a particular type of local revenue—bond funds for capital investments—on achievement by socioeconomic status. Comparing California school districts within a narrow window on either side of the cutoff of voter support required to pass a general obligation bond measure, I use dynamic regression discontinuity models to estimate effects of passing a bond on academic achievement among low- and high-socioeconomic-status (SES) students. Results consistently suggest that passing a bond increases achievement among low- but not high-SES students. However, these benefits for low-SES students are delayed and emerge six years after an election. Effects are larger in low-income districts and in small districts, where benefits of capital investments are experienced by a larger proportion of students. 

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5. Unplugged Robotics to Increase K-12 Students' Engineering Interest and Attitudes

   Miller, Blanca; Anderson, Mercedes; Major, Justin; Jurkiewicz, Melissa; Kirn, Adam (October 2018, Frontiers in Education)

   The impact of technology on workforce development and socio-economic prosperity has made K-12 computing engineering and STEM in general a national educational priority. However, the integration of computing remains obstructed by resources and lack of professional development to support students’ learning. Further challenging is that students’ STEM attitudes and interest do not matriculate with them into higher education. This issue is especially critical for traditionally underrepresented and underserved populations including females, racial/ethnic minority groups, and students of low-socioeconomic status (SES). To help mitigate these challenges, we developed an unplugged (computer-less) computing engineering and robotics lesson composed of three introductory computing concepts, sequencing, debugging, and sensing/ decision- making, using a small robot-arm and tangible programming blocks. Through students’ sequencing of operations, debugging, and executing of complex robotic behavior, we seek to determine if students’ interest or attitudes change toward engineering. Nine one-hour introductory pilot lessons with 148 students, grades 6-10, at two public middle schools, and one summer camp were conducted. For 43% of students, this was their first time participating in an engineering lesson. We measured students’ engineering interest and attitudes through a 15 question pre- and post-lesson survey and calculated aggregate factor scores for interest and attitudes. We found low-SES students’ a priori interests and attitudes tend to be lower and more varied than those of their high-SES peers. These preliminary results suggest that the integration of introductory computing and robotics lessons in low-SES classrooms may help students reach similar levels of engineering interest and attitudes as their high-SES peers. 

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