Institute of Education Sciences

In an effort to provide high-quality preschool education, policymakers are increasingly requiring public preschool teachers to have at least a Bachelor's degree, preferably in early childhood education. Seven major studies of early care and education were used to predict classroom quality and children's academic outcomes from the educational attainment and major of teachers of 4-year-olds. The findings indicate largely null or contradictory associations, indicating that policies focused solely on increasing teachers' education will not suffice for improving classroom quality or maximizing children's academic gains. Instead, raising the effectiveness of early childhood education likely will require a broad range of professional development activities and supports targeted toward teachers' interactions with children.

= 38, respectively), to validate the personality scales and estimate measurement error. This was the first study to test personality stability/change over a 50-year time span in which the same data source was tapped (i.e., self-report). This allowed us to use 4 different methods (rank-order stability, mean-level change, individual-level change, and profile stability) answering different developmental questions. We also systematically tested gender differences. We found that the average rank-order stability was .31 (corrected for measurement error) and .23 (uncorrected). The average mean-level change was half of a standard deviation across personality traits, and the pattern of change showed maturation. Individual-level change also supported maturation, with 20% to 60% of the people showing reliable change within each trait. We tested 3 aspects of personality profile stability, and found that overall personality profile stability was .37, distinctive profile stability was .17, and profile normativeness was .51 at baseline and .62 at the follow-up. Gender played little role in personality development across the life span. Our findings suggest that personality has a stable component across the life span, both at the trait level and at the profile level, and that personality is also malleable and people mature as they age. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Recent years have seen a considerable surge of research on interest-based engagement, examining how and why people are engaged in activities without relying on extrinsic rewards. However, the field of inquiry has been somewhat segregated into three different research traditions which have been developed relatively independently-research on curiosity, interest, and trait curiosity/interest. We identify "long-term development" as a critical factor that links different research traditions, and set out an integrative perspective called the reward-learning framework of knowledge acquisition. This framework takes on the basic premise of existing reward-learning models of information seeking: that knowledge acquisition serves as an inherent reward, which reinforces people's information-seeking behavior through a reward-learning process. Critically, however, the framework reveals how the knowledge-acquisition process is sustained and boosted over a long period of time in real-life settings (i.e., self-boosting effect), allowing us to integrate the different research traditions within reward-learning models. The framework also characterizes the knowledge-acquisition process with three distinct features that are not present in the reward-learning process with extrinsic rewards- (a) selectivity, (b) vulnerability, and (c) under-appreciation. Finally, we discuss implications of the proposed framework regarding the debate over the conceptualization of broad concepts, namely; curiosity, interest, and intrinsic-extrinsic rewards. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Income inequality in educational attainment is a long-standing concern, and disparities in college completion have grown over time. Need-based financial aid is commonly used to promote equality in college outcomes, but its effectiveness has not been established, and some are calling it into question. A randomized experiment is used to estimate the impact of a private need-based grant program on college persistence and degree completion among students from low-income families attending 13 public universities across Wisconsin. Results indicate that offering students additional grant aid increases the odds of bachelor’s degree attainment over four years, helping to diminish income inequality in higher education.

Scalar invariance is an unachievable ideal that in practice can only be approximated; often using potentially questionable approaches such as partial invariance based on a stepwise selection of parameter estimates with large modification indices. Study 1 demonstrates an extension of the power and flexibility of the alignment approach for comparing latent factor means in large-scale studies (30 OECD countries, 8 factors, 44 items, N = 249,840), for which scalar invariance is typically not supported in the traditional confirmatory factor analysis approach to measurement invariance (CFA-MI). Importantly, we introduce an alignment-within-CFA (AwC) approach, transforming alignment from a largely exploratory tool into a confirmatory tool, and enabling analyses that previously have not been possible with alignment (testing the invariance of uniquenesses and factor variances/covariances; multiple-group MIMIC models; contrasts on latent means) and structural equation models more generally. Specifically, it also allowed a comparison of gender differences in a 30-country MIMIC AwC (i.e., a SEM with gender as a covariate) and a 60-group AwC CFA (i.e., 30 countries × 2 genders) analysis. Study 2, a simulation study following up issues raised in Study 1, showed that latent means were more accurately estimated with alignment than with the scalar CFA-MI, and particularly with partial invariance scalar models based on the heavily criticized stepwise selection strategy. In summary, alignment augmented by AwC provides applied researchers from diverse disciplines considerable flexibility to address substantively important issues when the traditional CFA-MI scalar model does not fit the data. (PsycINFO Database Record

This study investigated the interplay of family background and individual differences, such as personality traits and intelligence (measured in a large U.S. representative sample of high school students; N = 81,000) in predicting educational attainment, annual income, and occupational prestige 11 years later. Specifically, we tested whether individual differences followed 1 of 3 patterns in relation to parental socioeconomic status (SES) when predicting attained status: (a) the independent effects hypothesis (i.e., individual differences predict attainments independent of parental SES level), (b) the resource substitution hypothesis (i.e., individual differences are stronger predictors of attainments at lower levels of parental SES), and (c) the Matthew effect hypothesis (i.e., "the rich get richer"; individual differences are stronger predictors of attainments at higher levels of parental SES). We found that personality traits and intelligence in adolescence predicted later attained status above and beyond parental SES. A standard deviation increase in individual differences translated to up to 8 additional months of education, $4,233 annually, and more prestigious occupations. Furthermore, although we did find some evidence for both the resource substitution and the Matthew effect hypotheses, the most robust pattern across all models supported the independent effects hypothesis. Intelligence was the exception, the interaction models being more robust. Finally, we found that although personality traits may help compensate for background disadvantage to a small extent, they do not usually lead to a "full catch-up" effect, unlike intelligence. This was the first longitudinal study of status attainment to test interactive models of individual differences and background factors.

A central and persisting issue in educational technology is the provision of instructional environments and conditions that can comply with individually different educational goals and learn-ing abilities. Instructional approaches and techniques that are geared to meet the needs of the individually different student are called adaptive instruction (Como & Snow, 1986). More specif-ically, adaptive instruction refers to educational interventions aimed at effectively accommodating individual differences in students while helping each student develop the knowledge and skills required to learn a task. Adaptive instruction is generally characterized as an educational approach that incorporates al-ternative procedures and strategies for instruction and resource utilization and has the built-in flexibility to permit students to take various routes to, and amounts of time for, learning (Wang & Lindvall, 1984). Glaser (1977) described three essential in-

This article provides an introduction to critical ethnographic work. Critical ethnography is understood as a form of knowledge production which supports transformative as well as interpretive concerns. Three fundamental conditions for ethnographic work are discussed: (1) a particular “problematic” that defines data and analytic procedures in a way consistent with one's pedagogicall political project: (2) the engagement of such work within a public sphere that allows it to become a starting point for social critique and transformation; and (3) the inclusion of a reflexive inquiry which would identify the limits of its own knowledge claims.

OBJECTIVE: To identify relationships between the health literacy and self-reported preventive health practices of US adults. METHODS: Measured health literacy and preventive health practices for a nationally representative sample of adults (N = 18,100) and conducted probit regression analyses after controlling for age, gender, race/ethnicity, poverty level, insurance status, self-reported health status, and oral reading fluency. RESULTS: Low literacy was associated with a decreased likelihood of using most preventive health measures under study for adults aged 65 and older, but not for adults of 2 younger age groups. CONCLUSION: The relationship between health literacy and preventive health practices varied substantially by adult age group.

Abstract Scholarship on critical consciousness frames how people who are more marginalized deeply analyze, feel empowered to change, and take collective action to redress perceived inequities. These three dimensions correspond to critical reflection, motivation, and action, respectively. In this article, we aim to recenter action in scholarship on critical consciousness, given the disproportionate attention that has been paid to reflection. To achieve this aim, we review empirical associations between critical action and positive developmental consequences among more marginalized youth, highlight promising practices to foster critical action, and identify questions and key areas for inquiry. We hope this article motivates a recentering of critical action in scholarship, policy, and practice on critical consciousness.

Although both conscientiousness and domain-specific interest are believed to be major determinants of academic effort, they have rarely been brought together in empirical studies. In the present research, it was hypothesized that both interest and conscientiousness uniquely predict academic effort and statistically interact with each other to predict academic effort. In 4 studies with 2,557, 415, 1,025, and 1,531 students, respectively, conscientiousness and interest meaningfully and uniquely predicted academic effort. In addition, conscientiousness interacted with interest in a compensatory pattern, indicating that conscientiousness is especially important when a student finds a school subject uninteresting and that domain-specific interest plays a particularly important role for students low in conscientiousness.

This chapter discusses the Groupe Speciale Mobile Association (GSMA) defines mEducation as "the use of individual, portable devices which make use of mobile networks in mainstream education settings, aligning with curriculum objectives or used for high-stakes assessment. Overall, these two key nodal sites GSMA and United Nations Educational, Scientific and Cultural Organization (UNESCO) offer numerous synergies. We do this by looking at a specific instantiation of global governance networks structured around what has been referred as mEducation, or mobile education, with particular attention to key nodal sites that work to fusion and channel these narratives. The United States U.S. Ed-Tech market makes the interdependence between policy and business very apparent. Former Chairman and chief executive officer (CEO) of the Washington Post Company, and presentations from other 190 influential speakers from the "global Ed-Tech ecosystem".

Vocational interests are important aspects of personality that reflect individual differences in motives, goals, and personal strivings. It is therefore plausible that these characteristics have an impact on individuals' lives not only in terms of vocational outcomes, but also beyond the vocational domain. Yet the effects of vocational interests on various life outcomes have rarely been investigated. Using Holland's RIASEC taxonomy (Holland, 1997), which groups vocational interests into 6 broad domains, the present study examined whether vocational interests are significant predictors of life outcomes that show incremental validity over and above the Big Five personality traits. For this purpose, a cohort of German high school students (N = 3,023) was tracked over a period of 10 years after graduating from school. Linear and logistic regression analyses were used to examine the predictive validity of RIASEC interests and Big Five personality traits. Nine outcomes from the domains of work, relationships, and health were investigated. The results indicate that vocational interests are important predictors of life outcomes that show incremental validity over the Big Five personality traits. Vocational interests were significant predictors of 7 of the 9 investigated outcomes: full-time employment, gross income, unemployment, being married, having children, never having had a relationship, and perceived health status. For work and relationship outcomes, vocational interests were even stronger predictors than the Big Five personality traits. For health-related outcomes, the results favored the personality traits. Effects were similar across gender for all outcomes-except 2 relationship outcomes. Possible explanations for these effects are discussed. (PsycINFO Database Record

We explore the role of neoliberalism within portrayals of internationalisation in higher education (HE). Through an analysis of four features of internationalisation, we suggest that they embody a complex entanglement of neoliberal categories and assumptions with other, primarily progressive humanitarian ideals. This framing of internationalisation has three affects. One, humanitarian ideals coupled with neoliberal categories normalise inequalities, turning internationalisation into a meritocratic global race, focusing on celebrating the possibility of the few who can achieve, instead of the embedded inequalities within the system, which disadvantage the many. Two, this allows neoliberal practices to be advanced through the discourse of internationalisation and its association with progressive humanitarian values. Three, this neoliberal framing does not explain the nature of internationalisation of HE in many nations; we demonstrate this by analysing internationalisation in China, Israel and Cuba. We suggest that internationalisation in HE cannot be adequately explained by analyses which rely on neoliberalism.

= 6,309), we address three key questions about the nature, structure, assessment, and outcomes of SEB skills. First, how can SEB skills be defined and distinguished from other kinds of psychological constructs, such as personality traits? We propose that SEB skills represent how someone is capable of thinking, feeling, and behaving when the situation calls for it, whereas traits represent how someone tends to think, feel, and behave averaged across situations. Second, how can specific SEB skills be organized within broader domains? We find that many skill facets can be organized within five major domains representing Social Engagement, Cooperation, Self-Management, Emotional Resilience, and Innovation Skills. Third, how should SEB skills be measured? We develop and validate the Behavioral, Emotional, and Social Skills Inventory (BESSI) to measure individuals' capacity to enact specific behaviors representing 32 skill facets. We then use the BESSI to investigate the nomological network of SEB skills. We show that both skill domains and facets converge in conceptually meaningful ways with socioemotional competencies, character and developmental strengths, and personality traits, and predict consequential outcomes including academic achievement and engagement, occupational interests, social relationships, and well-being. We believe that this work provides the most comprehensive model currently available for conceptualizing SEB skills, as well as the most psychometrically robust tool available for assessing them. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

value). We provide analytic proof and a series of statistical simulations to show the validity and robustness of the summary-statistics-based power analysis and show illustrative examples with real published work. We also developed a web app (https://koumurayama.shinyapps.io/summary_statistics_based_power/) to facilitate the utility of the proposed method. While the proposed method has limited flexibilities compared with the existing methods in terms of the models and designs that can be appropriately handled, it provides a convenient alternative for applied researchers when there is limited information to conduct power analysis. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Diagnosis is a prerequisite for successful professional problem-solving: A physician identifies an appropriate treatment based on a diagnosis of the patient’s disease, and a teacher selects an appropriate learning task based on an assessment of the student’s prior knowledge. Education in academic professions such as medicine or teaching is often focuses on the acquisition of conceptual knowledge from lectures and books; opportunities for students to engage in practical diagnostic situations are typically rare. However, applying such conceptual knowledge in diagnostic activities is regarded as necessary for developing diagnostic competences. In this article, we focus on simulations in which students can actively engage in practicing diagnostic activities concerning cases from professional practice. We review and link research perspectives on diagnostic competences, their components and their development. This is partly done by exploring the commonalities and differences in research on diagnostic competences in medicine and teaching. Then, we present approaches to simulation, followed by different types of instructional support in such simulations. In particular, we focus on different forms of scaffolding during problem-solving, and on the possibly complementary roles of expository forms of instruction in these kinds of environments. Building on the perspectives reviewed, we propose a framework for fostering diagnostic competences in simulations in higher education and outline an interdisciplinary research approach concerning the instructional design of such simulations.

Success in life is influenced by more than cognitive ability and opportunity. Success is also influenced by social, emotional, and behavioral (SEB) skills: a person’s capacities to maintain social relationships, regulate emotions, and manage goal- and learning-directed behaviors. In this article, we propose an integrative model that defines SEB skills as capacities (what someone is capable of doing) rather than personality traits (what someone tends to do) and identifies five major skill domains: social engagement, cooperation, self-management, emotional resilience, and innovation. We then argue that operational measures of SEB skills should reflect rather than obscure the distinction between skills and traits. Finally, we propose an agenda for future work by highlighting open questions and hypotheses about the assessment, development, and outcomes of SEB skills as well as interventions and public policy targeting these skills.

The present study investigated Big Five personality trait development in the transition to early adolescence (from the fifth to eighth grade). Personality traits were assessed in 2,761 (47% female) students over a 3-year period of time. Youths' self-reports and parent ratings were used to test for cross-informant agreement. Acquiescent responding and measurement invariance were established with latent variable modeling. Growth curve models revealed three main findings: (a) Normative mean-level changes occurred for youths' self-report data and parent ratings with modest effects in both cases. (b) Agreeableness and Openness decreased for self-reports and parent ratings, whereas data source differences were found for Conscientiousness (decreased for self-reports and remained stable for parent ratings), Extraversion (increased for self-reports and decreased for parent ratings), and Neuroticism (remained stable for self-reports and decreased for parent ratings). (c) Girls showed a more mature personality overall (self-reports and parent ratings revealed higher levels of Agreeableness, Conscientiousness, and Openness) and became more extraverted in the middle of adolescence (self-reports). Personality changes modestly during early adolescence whereby change does not occur in the direction of maturation, and substantial differences exist between parent ratings and self-reports.

One way to address the leaking pipeline toward STEM-related careers (i.e., science, technology, engineering, and mathematics) is to intervene on students’ STEM motivation in school. However, a neglected question in intervention research is how such interventions affect motivation in subjects not targeted by the intervention. This question was addressed through data from a cluster-randomized study in which a value intervention was successfully implemented in 82 ninth-grade math classrooms. Side effects on value, self-concept, and effort in German as students’ native language and English as a foreign language were assessed 6 weeks and 5 months after the intervention. Negative effects on value for German, but not for English, were found 5 months after the intervention. The theoretical and educational implications of such effects are discussed.