This study uses a mixed-method sequential exploratory design to examine influences on urban adolescents' engagement and disengagement in school. First, we interviewed 22 middle and high school students who varied in their level of engagement and disengagement. Support from adults and peers, opportunities to make choices, and external incentives aligned with greater engagement. In contrast, a strict disciplinary structure, an irrelevant and boring curriculum, disengaged peers, and lack of respect by adults coincided with greater disengagement. From these interviews, we tested whether these factors were statistically significant predictors of engagement and disengagement in a sample of 611 middle and high school students. In the majority of models, these predictors were significantly related to engagement and disengagement in the expected direction. Implications of findings for educational practice are discussed.

Ongoing federal efforts support equalizing access to experienced educators for low-income students and students of color, thereby narrowing the teacher experience gap. I show that while high-poverty and high-minority schools have larger class sizes and receive less funding nationally, school districts allocate resource equitably, on average, across schools. However, the least experienced teachers are still concentrated in high-poverty and high-minority schools, both across and within districts. I then show that additional state and local funding is associated with more equitable district resource allocation. The study offers recommendations for state and federal education policy related to the Every Student Succeeds Act.

[No abstract available]

Common-sense intuitions can be useful guides in everyday life and problem solving. However, they can also impede formal science learning and provide the basis for robust scientific misconceptions. Addressing such misconceptions has generally been viewed as the province of secondary schooling. However, in this article, I argue that for a set of foundational but highly counterintuitive ideas (e.g., evolution by natural selection), coherent causal-explanatory instruction-instruction that emphasizes the multifaceted mechanisms underpinning natural phenomena-should be initiated much sooner, in early elementary school. This proposal is motivated by various findings from research in the cognitive, developmental, and learning sciences. For example, it has been shown that explanatory biases that render students susceptible to intuitively based scientific misconceptions emerge early in development. Furthermore, findings also reveal that once developed, such misconceptions are not revised and replaced by subsequently learned scientific theories but competitively coexist alongside them. Taken together, this research, along with studies revealing the viability of early coherent explanation-based instruction on counterintuitive theories, have significant implications for the timing, structure, and scope of early science education.

The grouping of options into arbitrary categories influences adults' decisions about allocating choices or resources among those options; this is called partition dependence. Partition dependence has been demonstrated in a wide range of contexts in adults and is often presented as a technique for designing choice architectures that nudge people towards better decisions. Whether children also make partition dependent decisions is unknown, as are potential patterns of developmental change. In this experiment (N = 159), we examined whether children exhibit partition dependence using a novel resource allocation task. This novel task, distributing food tokens to zoo animals, did elicit partition dependence in our developmental sample. Both older children (ages 7-10 years) and younger children (ages 3-6 years) made partition dependent allocations, and younger children exhibited a larger partition dependence effect than did older children. This work provides the first evidence that children's decisions, like adults', are influenced by the arbitrary grouping of the options, and suggests that younger children may be more susceptible to this influence, at least in the context explored here.

Utilizing a nationally representative sample of middle school students, this article focuses on whether students who report experiencing more inquiry-based instruction in science and mathematics classrooms have more positive attitudes toward these subjects. Results of multilevel, multivariate regression analyses revealed that, net of the inclusion of control variables for student, teacher, and school characteristics, a higher frequency of inquiry-based instruction is significantly associated with greater interest, perceptions of utility, and self-efficacy for science and mathematics. Furthermore, although there is some evidence indicating that compared with female students, male students' perceptions of science utility are higher in relation to more inquiry-based instruction, overall, the weight of evidence clearly leans toward the conclusion that the attitudes of students from different gender and racial/ethnic backgrounds are similarly associated with greater exposure to inquiry-based instruction in both their science and mathematics classrooms.

This study examined the longitudinal associations of Hispanic youths' 9th-grade math expectancy-values and their subsequent participation (course taking and advanced course taking), performance, and preparedness (high school graduation and university eligibility) across 9th to 12th grades. Gender moderation associations of expectancy-value and participation, performance, and preparedness were evaluated. Students' socio-demographic characteristics and previous math experiences (achievement and curricular track) were controlled. The study sample (n = 1,116) was 53% female, 46% English learner, and 84% low income. Males reported higher expectancy, interest, attainment, and cost values. Females completed more math courses and advanced courses, achieved stronger course grades, and were more likely to complete math preparation requirements for high school graduation and college. Associations of expectancy-value, and participation and performance were observed along with gender-moderated associations with preparedness. The odds of graduation preparedness were increased for females with high attainment value, whereas the odds of university preparedness were increased for males with high utility value.

Scholars have not reached consensus on the best approach to measure state school finance equity. The regression-based approach estimates the relationship between district poverty rate and funding level, controlling for other district cost factors. A second commonly used approach involves estimating the weighted average funding level for low-income students or other subgroups. Meanwhile, policymakers have preferences for their own data systems and poverty indicators when reading reports and assessing progress. We constructed parallel, district-level panel data sets using data from the California Department of Education and the U.S. Census. We estimated changes over time in district-level school finance equity under California's Local Control Funding Formula, using multiple school finance measurement approaches, with each of the two data sets. Our results show that different methods and analytic choices result in policy-relevant differences in findings. We discuss the implications for policy and future research.

Handwriting practice is the most time-consuming activity for learners of Chinese as a foreign language (CFL). CFL instructors report allocating at least one third of their course time to handwriting practice although it prevents students from engaging in meaningful communication, especially in the earliest stages of learning. Given the amount of time students spend in a college course is relatively fixed, the preregistered study presented herein examines the best use of students' time when primary goals are word acquisition and communication. This work replicates a pilot study examining CFL word recognition in an online learning environment (ASSISTments) and the effects of supplemental handwriting practice. We examined word acquisition and recognition while manipulating condition (no-handwriting practice and with-handwriting practice), and posttest test point (1 [immediate], 2 [1 day delay], and 3 [1 week delay]). Two-way repeated measures analyses of variance revealed significant main effects for both condition and posttest test point in online and on-paper measures of word recognition and handwriting. Potential implications for CFL instruction and directions for future work are discussed.

Because of their complex structures, many natural-science categories are difficult to learn. Yet achieving accuracy in classification is crucial to scientific inference and reasoning. Thus, an emerging theme in cognitive-psychology and cognitive-science research has been to investigate better ways to instruct about categories. This article briefly reviews major findings that will help inform policies for teaching categories in the science classroom. Many of the examples come from our specific project that examines teaching rock classifications in the geologic sciences. This project uses formal models of human category learning—developed in cognitive psychology—to search for optimal teaching procedures. The model-suggested category-teaching procedures often lead to better learning outcomes than do alternative procedures motivated by teachers’ and students’ intuitive judgments. In addition to reviewing these enhanced procedures for teaching natural-science categories, the article points to recent broader efforts for fostering collaborations between cognitive-science researchers and education researchers. © The Author(s) 2018.