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It is well documented that academic achievement of students from families of low socioeconomic status (SES) tends to be below their more socially advantaged peers. Several studies have identified factors and conditions that facilitate academic success for disadvantaged students (i.e., promote academic resilience). However, one of the main criticisms of this body of research is in the set of variables that explain academic success for low-SES students and which is not very different from the variables that would explain academic success for all students. The objectives of this article are dual: firstly, to identify factors and conditions associated with academic success, regardless of student SES, and secondly, to identify factors and conditions associated with academic resilience, that is, exclusively for low-SES students. To this end, we used data from Singapore, South Korea, Hong Kong, Chinese Taipei, and Japan in the Trends in International Mathematics and Science Study (TIMSS) 2011. The study sample covered 23,354 students in 720 schools in the five countries. The strategy for analysis was driven by fit of logistic regression models, first predicting the probability of academic success and then subsequent identification of variables significant as predictors for success within the pool of low-SES students. Results indicated that variables, such as positive student attitude to mathematics, teacher confidence in student performance and the test language being spoken at home, were associated with greater chances of academic success. High academic expectations and time spent on mathematics at home demonstrated a differential effect between disadvantaged and non-disadvantaged students in Singapore. In Korea, being male (gender) and in Taipei, low levels of bullying at school, increased the likelihood of resilience. Results suggested that interventions impacting behavior reflected in differentially associated variables could help disadvantaged students to become academically resilient.

The COVID-19 pandemic has brought a tremendous impact on the pedagogy and learning experience of students in sub-degree education sector of Hong Kong. Online learning has become the “sole” solution to deal with student learning challenges during this chaotic period. In this study, we explore online learning for sub-degree students by using a community of inquiry (CoI). As such, confirmatory factor analysis (CFA) was conducted on survey data gathered from 287 sub-degree students from the business and engineering disciplines. Results indicated that the network speed for online education determines the perceived cognitive presence, social presence, and teaching presence of students, whereas gender and academic disciplines of students are not moderating factors that create a significant difference in perceived cognitive presence, social presence, and teaching presence of students. Our study findings for creating and sustaining a purposeful online learning community are highlighted.

The article employs exploratory structural equation modeling (ESEM) to evaluate constructs of economic, cultural, and social capital in international large-scale assessment (LSA) data from the Progress in International Reading Literacy Study (PIRLS) 2006 and the Programme for International Student Assessment (PISA) 2009. ESEM integrates the theory-generating approach of exploratory factor analysis (EFA) and theory-testing approach of confirmatory factor analysis (CFA). It relaxes the zeroloading restriction in CFA, allowing items to load on different factors simultaneously, and it provides measurement invariance tests across countries not available in EFA. A main criticism of international LSA studies is the extended use of indicators poorly grounded in theory, like socioeconomic status, that prevent the study of mechanisms underlying associations with student outcomes. This article contributes to addressing this criticism by providing statistical criteria to evaluate the fit of well-defined sociological constructs with the empirical data.

European countries were economically and politically separated during the Cold War, but since its end processes of globalization and the formation of the European Union have contributed to blur the borders. Previous studies suggest that the social transformations have affected differently civic participation of youths, but shortage of more recent data has precluded researchers from examining the differences in a country-comparative fashion. Along these lines, this paper has two main objectives: to explore the differences in the levels of expected civic participation across Europe, and to evaluate the fit of a theoretical model of civic participation in regard to the different points in time their democracies were established. To achieve these goals, data from 22 European educational systems (9 post-communist and 13 established democracies) participating in the International Civic and Citizenship Study (ICCS 2009) conducted by International Association for the Evaluation of Educational Achievement (IEA) is used. The results, in accordance with the literature, suggest differentiated patterns of future civic participation between the new and established democracies, but they are not that clear, suggesting that convergence between the two groups is ongoing. However, the tested empirical model of civic participation functions in a better way in the established than in the new democracies. In contrast with previous findings, differences in levels of expected civic participation seem to be related not only with the countries' experience with democracy, but also with their cultural similarities and common history.