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This paper presents credible and comparable evidence on intergenerational educational mobility in 53 developing countries using sibling correlation as a measure, and data from 230 waves of Demographic and Health Surveys. It is the first paper to provide estimates of sibling correlation in schooling for a large number of developing countries using high quality standardized data. Sibling correlation is an omnibus measure of mobility as it captures observed and unobserved family and neighborhood factors shared by siblings when growing up together. The estimates suggest that sibling correlation in schooling in developing countries is much higher (average 0.59) than that in developed countries (average 0.41). There is substantial spatial heterogeneity across regions, with Latin America and Caribbean having the highest (0.65) and Europe and Central Asia the lowest (0.48) estimates. Country level heterogeneity within a region is more pronounced. The evolution of sibling correlation suggests a variety of mobility experiences, with some regions registering a monotonically declining trend from the 1970s birth cohort to the 1990s birth cohort (Latin America and the Caribbean and East Asia and Pacific), while others remained trapped in stagnancy (South Asia and Sub-Saharan Africa). The only region that experienced monotonically increasing sibling correlation is the Middle East and North Africa. The recent approach of Bingley and Cappellari (2019) is used to estimate the share of sibling correlation due to intergenerational transmission. The estimates show that when the homogeneity and independence assumptions implicit in the standard model of intergenerational transmission are relaxed, the estimated share is much larger. In the sample of countries, on average 74 percent of sibling correlation can be attributed to intergenerational transmission, while there are some countries where the share is more than 80 percent (most in Sub-Saharan Africa). This suggests a dominant role for parents in determining the educational opportunities of their children. Evidence on the evolution of the intergenerational share, however, suggests a declining importance of the intergenerational transmission component in many countries, but the pattern is diverse. In some cases, the trend in the intergenerational share is opposite to the trend in sibling correlation. [This report was prepared by the World Bank Group's Development Research Group, Development Economics.]

Prior work on teacher candidates in Washington State has shown that about two thirds of individuals who trained to become teachers between 2005 and 2015 and received a teaching credential did not enter the state's public teaching workforce immediately after graduation, while about one third never entered a public teaching job in the state at all. In this analysis, we link data on these teacher candidates to unemployment insurance data in the state to provide a descriptive portrait of the future earnings and wages of these individuals inside and outside of public schools. Candidates who initially became public school teachers earned considerably more, on average, than candidates who were initially employed either in other education positions or in other sectors of the state's workforce. These differences persisted at least 10 years into the average career and across transitions into and out of teaching. There is therefore little evidence that teacher candidates who did not become teachers were lured into other professions by higher compensation. Instead, the patterns are consistent with demand-side constraints on teacher hiring during this time period that resulted in individuals who wanted to become teachers taking positions that offered lower wages but could lead to future teaching positions.

The COVID-19 pandemic caused tremendous upheaval in schooling. In addition to its devasting effects on students' academic development, the disruptions to schooling had important consequences for researchers conducting effectiveness studies on educational programs during this era. Given the likelihood of future large-scale disruptions, it is important for researchers to plan resilient studies and think critically about possible adaptations when such turbulence arises. In this article, we utilize qualitative case study analysis to examine how researchers evaluating educational programs in the pandemic period adjusted to turbulent conditions through design pivots to ensure the feasibility of research. We find that researchers struggled to strike a balance between the evaluations that were intended and those that could realistically be accomplished. We identify how the challenges of the pandemic period and design pivots raised potential threats to validity, illuminate some promising practices that arose during the pandemic period, and provide recommendations for future research and evaluation programs focused on studying the effectiveness of educational programs during times of profound disruption.

This paper uses recent evidence from international early grade reading programs to provide guidance about how best to create appropriate targets and more effectively identify improved program outcomes. Recent results show that World Bank and US Agency for International Development-funded large-scale international education interventions in low- and middle-income countries tend to produce larger impacts than do interventions in the United States, as measured by effect sizes. However, these effect sizes rarely translate into large gains in mean oral reading fluency scores and are associated with only small increases in the proportion of students meeting country-level reading benchmarks. The limited impact of these low- and middle-income countries' reading programs on the proportion of students meeting reading benchmarks is in large part caused by right-skewed distributions of student reading scores. In other words, modest impacts on the proportion of students meeting benchmarks are caused by low mean scores and large proportions of nonreaders at baseline. It is essential to take these factors into consideration when setting program targets for reading fluency and comprehension. We recommend that program designers in lower-performing countries use baseline assessment data to develop benchmarks based on multiple performance categories that allow for more ambitious targets focused on reducing nonreaders and increasing beginning readers, with more modest targets aimed at improving oral reading fluency scores and increasing the percentage of proficient readers.

The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning analytics may inadvertently undermine their institutions' core teaching and learning missions. The authors offer a framework for moving forward with learning analytics, organized around three principles: (a) Institutions should take the lead in their conversations with vendors, emphasizing the distinctive values of higher education; (b) Learning analytics data should be balanced with other forms of evidence that analytics cannot capture, especially participant experiences; and (c) Successful implementations will leave room for adaptations by people on the ground--to notice what is working and integrate the tools into their practices. Only by empowering students, faculty, and staff can these tools fulfill their potential in higher education.

Generally speaking, when one writes about their research they are making a contribution to the scientific community and disseminating the results of findings in scientific articles. This means that other researchers have access to the research produced and can examine the subjects raised in greater depth to advance scientific knowledge. This paper discusses the format of papers that are strictly academic. The specific structure of the text will be determined by whether it is for a master's dissertation, a doctoral thesis, a chapter of a specialist book or an article for a scientific journal. In the case of qualitative research, it is necessary, when writing the text, to bear in mind a series of processes that will be explained in this handbook, such as: (1) the justification for the research in terms of its social and educational interest, and in theoretical terms; (2) the gathering of information or data; (3) the treatment and organization of the data; (4) the adoption of a theoretical and methodological framework; (5) data analysis; (6) the interpretation of data in an original and/or creative way, and obtaining the findings; (7) setting out a discussion on the relevance of the results; and (8) setting out the conclusions. Differences between a master's dissertation and a thesis are also described. A discussion of differences between articles in scientific journals and chapters of a book are discussed. [A Catalan version of this chapter is also included in the book. The transcription symbols used in this chapter are based on conventions developed by the GREIP group (see Moore & Llompart, this volume) and are included in the annex.

Drawing on insights from culturally responsive K-12 education frameworks and dual process theory, this qualitative study explores the situated nature of reflective practice among postsecondary faculty and calls for increased critical awareness and institutional support. Through interviews with 21 California research university faculty, this study found that instructors drew on both numeric and non-numeric data forms to engage in reflective practice. This tendency indicates a need for a more holistic, multi-disciplinary, and critical understanding of "data" than what the current accountability movement has imagined. This study's findings also show that although faculty consistently engaged in reflective practice, the outcomes of this reflection were severely limited by both individual bias and institutional constraints. Thus, while we recognize the current budgetary struggles many universities face, we argue that in order to better serve postsecondary students, particularly those from historically underrepresented groups, more institutional support is needed. Postsecondary institutions can play a significant role in facilitating critical examination by providing faculty the necessary space, time, and guidance to engage in critical reflection as well as the appropriate institutional mechanisms to voice concerns and enact change.

This report presents the underlying theory and methodology of the first framework to operationalize culture and culturally responsiveness in the context of Positive Behavioral Interventions and Supports. Created following a systematic review of literature, this framework was created as a cultural artifact to expand the conceptualization of the role of culture in the implementation of PBIS and other education programs. The author hopes the framework will start a movement to address the systemic contradictions that researchers and practitioners in the field experience regarding racial disparities in behavioral and academic opportunities and outcomes and the locally meaningful implementation of PBIS and other top-to-bottom initiatives and programs (e.g., Response to Intervention [RTI]).

Teacher and student sorting within and between schools has historically garnered national attention and controversy. Scholars have recently examined how school leaders make data-driven decisions to create more equitable schools, particularly through teacher and student assignment practices. School leaders use student test scores to strategically sort students into classes to create "balance." Student achievement data is also linked to teacher reassignment, in which ineffective teachers are strategically reassigned to non-tested grades or subjects, while effective teachers may be promoted to leadership positions. Scholars have found that a combination of data-driven strategic staffing, accountability pressures, and micro-politics are prime drivers of assignment strategies within schools. Within the literature on assignment practices, one strand examines the impact of assignment practices on students but does not engage with principals' decision-making strategies despite the central role principals play in school decisions. The second strand of research delves deeply into leadership decision making but seldom provides data on the actual assignment practices. This includes observed data regarding the two types of assignment strategies dominant within the literature: privilege- and learning-centric. A learning-centric assignment is the placement of highly knowledgeable teachers with students who need effective teachers more than do other peers (Donaldson, 2011, In contrast, privilege-centric assignments place experienced teachers in classrooms with higher achieving students. School leaders may also use privilege-centric staffing to appease affluent parents and increase retention of their more experienced teachers. Although privilege-centric assignments may be counterproductive to the student experience, many schools employ this strategy despite principals' reports of using data to increase school equitability. The assignment of teachers to students and classes is presumed to be an entirely local (school-level) decision, with school leaders having substantial authority over this process. The findings of the preceding research underscore the importance of principals in this process, and yet we know little about the ability of leadership to interrupt systems of privilege and institute more equitable staffing arrangements. Because of this potential inconsistency between principals reporting that they make data-driven decisions and their actual assignment practices, we see the need for continued research in this area. The purpose of this study is to fill this gap within the literature by first examining the relationship between principals' reported data-driven decisions and teacher and student assignment strategies within schools, and then looking at the relationship between assignment practices and student learning. This study couples survey data from 213 Florida elementary and middle schools with 8 years of longitudinal, statewide data to address the following questions: (1) To what extent are privilege- and learning-centric assignment practices used within schools? Are these practices changing over time?; (2) How do privilege- and learning-centric assignments impact student-learning gains?; (3) What drives student-assignment practices--is this phenomenon embedded in the culture of a school or do principals dictate assignment practices?; and (4) How are principals' reported uses of data related to observed privilege- and learning-centric sorting?

A defining characteristic of current U.S. educational policy is the use of data to inform decisions about resource allocation, teacher hiring, and curriculum and instruction. Perhaps the biggest challenge to data-driven decision making (DDDM) is that data use alone does not automatically result in improved teaching and learning. Research indicates that translating raw data into useable information and actionable knowledge for teachers requires not only adequate technical and social supports, but also an awareness of how educators in real-world settings actually use information to make decisions. Yet, little is known about DDDM in higher education, in general, and how postsecondary faculty make sense of and use data in their instructional decision-making processes, in particular. In this paper, we use naturalistic decision-making theory to generate practice-based descriptions of how 59 STEM faculty at three large public research universities used data as part of their course planning. Interview transcripts and notes taken while observing planning meetings were analyzed using an inductive approach to content analysis. In practice, respondents used different types of data and other information obtained from, for example, student assessments, end-of-semester evaluations, and conversations with colleagues. Results indicate that faculty generally collect and analyze data in informal, ad hoc scenarios ungoverned by institutional policy. Exceptions include disciplines with accreditation pressures and team-taught courses where structured (and supported) opportunities exist for faculty to collect, analyze, and reflect upon data about student learning. Thus, while numeric data are clearly viewed by this population of faculty as the most rigorous, in practice, even those that use quantitative data also use other sources of information. These results suggest an opportunity for educational leaders to design policies and professional development initiatives that facilitate a more formal collection of and reflection on data by faculty. In pursuing such technical solutions, however, policymakers and educational leaders must carefully negotiate the tension between rigor and relevance, and learn from the challenges experienced in the K-12 sector regarding DDDM.