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In a nationally representative sample, first-year U.S. college students \"somewhat agree,\" on average, that they feel like they belong at their school. However, belonging varies by key institutional and student characteristics; of note, racialethnic minority and first-generation students report lower belonging than peers at 4-year schools, while the opposite is true at 2-year schools. Further, at 4-year schools, belonging predicts better persistence, engagement, and mental health even after extensive covariate adjustment. Although descriptive, these patterns highlight the need to better measure and understand belonging and related psychological factors that may promote college students' success and well-being.

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with traditional data sources and methodologies. This synthetic review describes the affordances and applications of microlevel (e.g., clickstream data), mesolevel (e.g., text data), and macrolevel (e.g., institutional data) big data. For instance, clickstream data are often used to operationalize and understand knowledge, cognitive strategies, and behavioral processes in order to personalize and enhance instruction and learning. Corpora of student writing are often analyzed with natural language processing techniques to relate linguistic features to cognitive, social, behavioral, and affective processes. Institutional data are often used to improve student and administrational decision making through course guidance systems and early-warning systems. Furthermore, this chapter outlines current challenges of accessing, analyzing, and using big data. Such challenges include balancing data privacy and protection with data sharing and research, training researchers in educational data science methodologies, and navigating the tensions between explanation and prediction. We argue that addressing these challenges is worthwhile given the potential benefits of mining big data in education.

Hispanic-Serving Institutions (HSIs) are colleges and universities that enroll at least 25% Latinx students. Despite being recognized by the federal government since 1992, HSIs lack a historical mission to serve Latinxs. As such the idea of “servingness” has become an elusive concept. An abundance of literature centering HSIs has been published, yet there continues to be a debate about what it means to serve students. We conducted a systematic review of 148 journal articles and book chapters to better understand how researchers conceptualize the idea of servingness at HSIs. We identified four major themes used by researchers to conceptualize servingness: (1) outcomes, (2) experiences, (3) internal organizational dimensions, and (4) external influences. We also found that researchers are often unintentional in their efforts to conceptualize what it means to be an HSI. We offer a multidimensional conceptual framework of servingness to be used in research, policy, and practice.

This study draws upon survey and administrative data on over 9,000 teachers in 336 Miami-Dade County public schools over 2 years to investigate the kinds of collaborations that exist in instructional teams across the district and whether these collaborations predict student achievement. While different kinds of teachers and schools report different collaboration quality, we find average collaboration quality is related to student achievement. Teachers and schools that engage in better quality collaboration have better achievement gains in math and reading. Moreover, teachers improve at greater rates when they work in schools with better collaboration quality. These results support policy efforts to improve student achievement by promoting teacher collaboration about instruction in teams.

In the context of a national conversation about exclusionary discipline, we conducted a multilevel examination of the relative contributions of infraction, student, and school characteristics to rates of and racial disparities in out-of-school suspension and expulsion. Type of infraction; race, gender, and to a certain extent socioeconomic status at the individual level; and, at the school level, mean school achievement, percentage Black enrollment, and principal perspectives all contributed to the probability of out-of-school suspension or expulsion. For racial disparities, however, school-level variables, including principal perspectives on discipline, appear to be among the strongest predictors. Such a pattern suggests that schools and districts looking to reduce racial and ethnic disparities in discipline would do well to focus on school- and classroom-based interventions.

High rates of attrition make it challenging for schools to provide qualified special education teachers for students with disabilities, especially given chronic teacher shortages. We synthesize 30 studies from 2002 to 2017, examining factors associated with special educator attrition and retention, including (a) teacher preparation and qualifications, (b) school characteristics, (c) working conditions, and (d) teacher demographic and nonwork factors. Most studies examined working conditions (e.g., demands, administrative and collegial supports, resources, compensation) among special educators who left teaching, moved to other positions, transferred to general education teaching, or indicated that they intended to stay or leave. The majority of researchers used quantitative methods to analyze national, state, or other survey data, while eight used qualitative methods. Our critique identifies both strengths and weaknesses of this literature, suggests research priorities, and outlines specific implications for policy makers and leaders.

Over the past 20 years, international student mobility has experienced a three-fold increase, as planned and emerging education hubs have attracted increasing numbers of students. The appeal of alternative destinations is strengthened by their cultural, linguistic, and geographic proximity, as well as a growing number of internationally ranked universities. This article quantifies shifts in international student mobility and world university rankings over a consequential 20-year period (1999/2000–2018/2019) at the beginning of the twenty-first century. It examines shifts in the number of county-to-country connections (density), relative country importance in the network (centrality), and network structure (multipolarity). The results indicate the overall network density steadily increased year-to-year, with a three-fold increase in the number of country-to-country connections, as influence was more widely and evenly distributed among a larger number of core countries within the network. As the number of universities in planned and emerging destinations listed in the rankings doubled, the network structure indicated a movement toward multipolarity, where a more diverse set of countries exerted greater relative influence in the overall network. The results suggest that while core-periphery dynamics in international student mobility persist, they also have begun to shift, as a larger and more diverse subset of planned and emerging educational hubs in Asia, South America, Africa, and the Middle East exert increasing influence in the overall network.

According to the internal/external frame of reference model, academic achievement has a strong impact on people's self-concept, both within and between subjects. We conducted a series of meta-analyses of k = 505 data sets containing the six bivariate correlations between achievement and self-concept in two subjects. Negative paths from achievement to noncorresponding self-concept, indicating dimensional comparison effects, were strongest when the subjects were dissimilar with regard to the math-verbal continuum, reduced but still significantly negative when both subjects belonged to the verbal domain, and near-zero when both subjects belonged to the math/science domain. Additionally, we found stronger positive paths from achievements to corresponding self-concepts, indicating social comparison effects, and stronger dimensional comparison effects for grades than for standardized test scores, and for older rather than younger students. We extend dimensional comparison theory by discussing these results with particular regard to the nonexistence of assimilation effects, the effects of subject similarity on dimensional comparison effects, and other moderators of dimensional comparison effects. (ZPID).

This paper focuses on a major challenge facing education systems around the world, that of finding ways of including all children in schools. In economically poorer countries this is mainly about the millions of children who are not able to attend formal education (UNESCO, 2015). Meanwhile, in wealthier countries many young people leave school with no worthwhile qualifications, whilst others are placed in special provision away from mainstream education and some choose to drop out since the lessons seem irrelevant (OECD, 2012). Faced with these challenges, there is evidence of an increased interest in the idea of making education more inclusive and equitable. However, the field remains confused as to the actions needed in order to move policy and practice forward.

The Trump presidency generated concern about democratic backsliding and renewed interest in measuring the national democratic performance of the United States. However, the US has a decentralized form of federalism that administers democratic institutions at the state level. Using 51 indicators of electoral democracy from 2000 to 2018, I develop a measure of subnational democratic performance, the State Democracy Index. I then test theories of democratic expansion and backsliding based in party competition, polarization, demographic change, and the group interests of national party coalitions. Difference-in-differences results suggest a minimal role for all factors except Republican control of state government, which dramatically reduces states’ democratic performance during this period. This result calls into question theories focused on changes within states. The racial, geographic, and economic incentives of groups in national party coalitions may instead determine the health of democracy in the states.