College education and attitudes toward democracy in China: an empirical study

The modernization theory contends that there is a link between education and democracy. Yet few empirical studies have been done to investigate the role of higher education on promoting democratic values in the Chinese context. Using China General Social Survey 2006, this paper generates several findings which are not completely consistent with the existing theoretical explanations on political development. Specifically, the college-educated Chinese citizens not only agree that there is need to improve democracy, but support various types of political participation and resist the government-oriented petitioning. However, though entrepreneurial elites (private business owners) and political elites (Chinese communist party members) demonstrate preference to democracy in principle, empirical evidence suggests that they are much less likely to support political participation that challenges the authoritarian regime in China compared to knowledge-based elites (college-educated adults).     

DISTRIBUTIVE PARTITIONING OPERATION IN MATHEMATICAL SITUATIONS INVOLVING FRACTIONAL QUANTITIES

In the present study, we describe a participating student’s (Carol’s) distributive partitioning scheme and operations along with Steffe’s and his colleagues’ studies about children’s constructions of fraction knowledge as a particular model of mathematical learning. Analysis of Carol’s mathematical behaviors indicates that an operationally common mathematical behavior (distributive partitioning operation) was revealed in various mathematical problem situations such as fraction multiplication, fraction division, and multiplicative transformation between fractional quantities. It both provides a rationale for why becoming versed in one mathematical subject could facilitate working with another mathematical subject and also implies the necessity of describing and defining students’ mathematical behaviors from an operational view of knowledge, which might lead to building foundations of a substantial cognitive map for students’ mathematical development.     

Knowledge production in a constructed field: reflections on comparative and international education

Adopting Maria Manzon’s theoretical framework, which draws on Foucault and proposes that comparative education as an academic field is socially constructed, I suggest that the field is neither stable nor well defined. To demonstrate this, I conduct a content analysis of the Comparative Education Review, using Klaus Krippendorff’s methodological framework to study comparative and international education (CIE) researchers’ understanding of the national—and of their related knowledge production in the field. Many comparativists express interests in multiple countries, and their knowledge production takes the form of individual country studies. The countries are habitually studied using a “problem approach” focusing on one specific aspect of the country under investigation and using an associated social science methodology deemed appropriate. Few comparativists are making explicit use of or reference to any methodology that is unique to comparative education. Efforts to catalog and systematize CIE research have demonstrated that the field is becoming so inclusive that it hardly is distinguishable from educational studies as a whole. Hence, I suggest that instead of speaking about unifying features of the field, it may be more relevant to speak about frequent elements, such as a focus on the national, and a knowledge production characterized by the academic practitioner who desires to improve the education systems studied. A third frequent element may be the focus on educational development, thus justifying the label of “comparative, international, and development education.” One challenge of the field is its dependence on Western social science discourses, which may be marginalizing other voices.     

Students’ Motivation in the Mathematics Classroom. Revealing Causes and Consequences

Students’ affective domain has been popular in the mathematics education community in an ongoing attempt to understand students’ learning behavior. Specifically, enhancing students’ motivation in the mathematics classroom is an important issue for teachers and researchers, due to its relation to students’ behavior and achievement. This paper utilized achievement goal theory—an important theoretical prospect on students’ motivation in school settings—to investigate the existence of a model presenting the relation between motivation and other affective constructs and students’ performance in mathematics. In this regard, two types of tests were administered to 321 sixth grade students measuring their motivation and other affective constructs and their performance in mathematics. Using structural equation modeling, we examined the associations among the affective constructs, motivation, and the extent to which these constructs influence students’ performance and interest in mathematics. The data revealed that students’ performance and their interest in mathematics were influenced by fear of failure, self-efficacy beliefs, and achievement goals. We discuss these findings in terms of teaching implications in the mathematics classroom.     

Early manifestations of intellectual performance: Evidence that genetic effects on later academic test performance are mediated through verbal performance in early childhood

Intellectual performance is highly heritable and robustly predicts lifelong health and success but the earliest manifestations of genetic effects on this asset are not well understood. This study examined whether early executive function (EF) or verbal performance mediate genetic influences on subsequent intellectual performance, in 561 U.S.-based adoptees (57% male) and their birth and adoptive parents (70% and 92% White, 13% and 4% African American, 7% and 2% Latinx, respectively), administered measures in 2003–2017. Genetic influences on children's academic performance at 7 years were mediated by verbal performance at 4.5 years (β = .22, 95% CI [0.08, 0.35], p = .002) and not via EF, indicating that verbal performance is an early manifestation of genetic propensity for intellectual performance.     

Benefits for immigrant-origin and nonimmigrant-origin youth of discussing immigration in gender and sexuality alliances

In a time of unprecedented polarization in the United States, particularly concerning immigration, schools are uniquely positioned to help students understand the consequences of drastic policy changes. Beyond formal settings such as social studies classes, extracurricular activities may be important for fostering discussions about sociohistorical and policy issues. Such discussions could serve to empower youth from marginalized populations and raise their critical consciousness. Yet the potential outcomes of discussions in these extracurricular settings have not been studied in depth. Using data collected in school-based Gender-and-Sexuality-Alliances (GSAs) throughout Massachusetts during the periods leading up to and following the 2016 US Presidential election, we examined whether discussions of immigration issues in GSAs were associated with greater empowerment and critical consciousness among 580 youth (M _Age = 15.59, range = 10–20 years). Multilevel structural equation models showed that the frequency with which youth discussed immigration, relative to their fellow members, was positively associated with residualized change in perceived peer validation for members in general and with residualized change in hope for immigrant-origin members only. Contrary to our expectations, we did not find significant associations for critical consciousness. Findings suggest how groups addressing issues of equity and justice can promote members' empowerment.     

The scope for using international indicators of inclusive education in Kuwait and GCC countries: A preliminary study involving special education teachers

In both the literature on inclusive education and in international policy development, there has been considerable interest in the use of sets of indicators for the implementation of inclusive education at national and local levels. Drawing on sets of indicators developed in Europe and the Pacific Islands, this study proposes a set of such indicators for Kuwait. These indicators are then presented in a survey of 161 special education teachers working in public elementary mainstream schools across Kuwait. Analysis of the results is used to explore how such indicators could play a role in promoting policy implementation for inclusive education in Kuwait and more widely in Gulf Cooperation Council (GCC) countries.     

Developmental trajectories of behavioral inhibition from infancy to age seven: The role of genetic and environmental risk for psychopathology

The present study leveraged data from a longitudinal adoption study of 361 families recruited between 2003 and 2010 in the United States. We investigated how psychopathology symptoms in birth parents (BP; M_age = 24.1 years; 50.5–62.9% completed high school) and adoptive parents (AP; M_age = 37.8 years; 80.9% completed college; 94% mother–father couples) influenced children's behavioral inhibition (BI) trajectories. We used latent growth models of observed BI at 18 and 27 months, and 4.5 and 7 years in a sample of adopted children (Female = 42%, White = 57%, Black = 11%, Multi-racial = 21%, Latinx = 9%). BI generally decreased over time, yet there was substantial variability in these trajectories. Neither BP nor AP psychopathology symptoms independently predicted systematic differences in BI trajectories. Instead, we found that AP internalizing symptoms moderated the effects of BP psychopathology on trajectories of BI, indicating a gene by environment interaction.     

An efficient solution of hamiltonian boundary value problems by combined gauss pseudospectral method with differential continuation approach

Our paper deals with an effective application of the pseudospectral method to solution of Hamiltonian boundary value problems in optimal control theory. The developed numerical methodology is based on the celebrated Gauss pseudospectral approach. The last one makes it possible to reduce the conventional Hamiltonian boundary value problem to an auxiliary algebraic system. The implementable algorithm we propose is computationally consistent and moreover, involves numerically tractable results for a relative small discretization grids. However, the solution of the obtained algebraic equations system may has a low convergence radius. We next use the differential continuation approach in order to weaken the necessity of the well-defined initial conditions for the above algebraic system. The presented solution procedure can be extremely useful when the generic shooting-type methods fail because of sensitivity or stiffness. We discuss some numerical results and establish the efficiency of the proposed methodology.