Five Star Teacher: In-Service on the Move

Teachers learned knowledge, skills, values, and dispositions through spending significant amounts of time working with heritage sites as they learned more about social studies. Elementary social studies teachers engaged in teacher in-service to increase their abilities to meet geography standards. Teacher professional development that caused instructors to engage with cultural and historic sites benefited them and should be considered as well as other models of teacher in-service. Teachers used study travel opportunities to engage in geographic investigation and exploration to accomplish inquiry. Teachers determined that extended time was required to experience the place, to value it, and to harbor the disposition to teach about it; they learned in-depth content from spending time on-site, and they learned skills to extract knowledge from site through reading the landscape. Teachers encountered multiple perspectives, technology, and controversial issues through their studies of regions in the Ohio River Valley. Teachers of elementary social studies may wish to consider this type of professional development to understand a sense of place and how it relates to the curriculum they teach.     

Alone and adrift: The association between mass school shootings,school size,and student support

Background

School shootings have approached epidemic levels in recent years. While mental illness is undoubtedly involved in nearly all cases of mass school violence, we sought to determine how environmental context may exacerbate preexisting personal factors. The present study investigated the associations between mass school shootings, school enrollment size, student–teacher ratios, and student transitions.

Analysis of Blogs,Forums, and Social Networks

It is impossible to imagine the contemporary Internet without social media. Government agents, commercial, state, and social organizations, the opposition, and other citizens use social media as a giant turbine. Unfortunately, this turbine can also be used to spread disinformation as well as hostile propaganda on a mass scale. In this article we show how vulnerable social media are to infiltration by botnets with the goal of launching information attacks.     

The Peasant World in the Discourse of Generational Sorrow

This article spells out the methodological considerations and various procedural and methodological subtleties developed over the author's quarter century of sociological field studies of Russia's peasant worlds. Particular attention is paid to “voices from below”—peasant discursive formats that capture, in natural and undiluted form, the evolution of peasant practices constituting the core of everyday life. In particular, the phenomenon of generational sorrow and a special chronological nostalgia that functions as a “social gyroscope” is identified and discursively captured. This phenomenon is noteworthy and useful for its ability to retain a record of the productively longed for past in a rural community's collective memory and thereby influence new peasant worlds taking shape today.     

Family engagement within the context of assessment in child protection practice: The case of Estonia

Engagement in the context of child protection is of significant international interest, as the participation of family is a central notion in child and family social work. Drawing on in‐depth, semistructured interviews with a sample of 26 child protection workers in 1 region in Estonia, this article reports the findings of the participants' perspectives on family engagement in the context of child protection assessment. Child protection workers perceive the engagement related to 3 aspects: first, it is associated to the acts of the worker; second, it is associated to parental part of actions—depending on parents themselves; and third, engagement was seen as “doing together” with the family, referring to partnership. The aim of the engagement was mainly considered in the terms of empowerment—empowering family to cope on their own and to take charge of their lives. The negative image of child protection was recognised as one of the main barriers to the family engagement. Understanding the family and their situation was seen as the basis for a trusting relationship, being the most crucial factor to promoting family engagement.     

Do High School Students in India Gamble? A Study of Problem Gambling and Its Correlates

Studies from the West suggest that significant numbers of high school students gamble, despite it being illegal in this age group. To date, there have been no studies on the prevalence of gambling among senior high school and higher secondary school students in India. This study reports point prevalence of gambling and its psychosocial correlates among high school students in the State of Kerala, India. 5043 high school students in the age group 15–19 years, from 73 schools, were selected by cluster random sampling from the district of Ernakulam, Kerala, South India. They completed questionnaires that assessed gambling, substance use, psychological distress, suicidality, and symptoms of Attention Deficit Hyperactivity Disorder (ADHD). Of a total of 4989 completed questionnaires, 1400 (27.9 %) high school students reported to have ever gambled and 353 (7.1 %) were problem gamblers. Of those who had ever gambled, 25.2 % were problem gamblers. Sports betting (betting on cricket and football) was the most popular form of gambling followed by the lottery. Problem gamblers when compared with non-problem gamblers and non-gamblers were significantly more likely to be male, have academic failures, have higher rates of lifetime alcohol and tobacco use, psychological distress, suicidality, history of sexual abuse and higher ADHD symptom scores. Gambling among adolescents in India deserves greater attention, as one in four students who ever gambled was a problem gambler and because of its association with a range of psychosocial variables.     

Family Caregiver Communication in the ICU: Toward a Relational View of Health Literacy

We interviewed 18 family caregivers about their communication experiences in the ICUs at an urban hospital. Analysis of their narratives suggests health literacy is important in family caregiver/healthcare provider communication, especially as complicated illnesses move the caregiver deeper into decision making. Using the domains of Yuen et al.’s conceptual model of caregiver health literacy (2015), we identified three themes within the context of ICU communication: agency, coordinated communication, and caregiver’s evolving role. We saw family caregivers negotiating domains of health literacy as they built upon knowledge of the patient’s needs, their rights as family caregivers, and the hierarchy of the professional staff. We found that these narratives represent co-created, or relational communication, rather than individual health literacy skills. Conceptualized in the transaction of relationship, health literacy is enacted; it is socially constructed and is the scaffolding upon which family caregivers make decisions, care for their loved one, and care for themselves.     

Comparison of Two Psycho-Educational Interventions Aimed at Preventing HIV and Promoting Sexual Health Among Portuguese Women

This study compares the efficacy of 2 psychoeducational interventions—ACCENT skills-based and didactic information only—to prevent HIV among Portuguese women. At posttest and follow-up, participants in both intervention groups (n = 127) were more knowledgeable about HIV than at baseline. Although both intervention groups showed an increase in self-reported condom use over time, differences were marginally stronger in the ACCENT group. Both intervention groups showed more positive results than the non-intervention control group (n = 33). The study suggests that HIV prevention interventions can produce significant changes when they target a set of knowledge, social, and cognitive variables relevant to sexual behavior change.     

Adaptive multiple importance sampling for Gaussian processes

In applications of Gaussian processes (GPs) where quantification of uncertainty is a strict requirement, it is necessary to accurately characterize the posterior distribution over Gaussian process covariance parameters. This is normally done by means of standard Markov chain Monte Carlo (MCMC) algorithms, which require repeated expensive calculations involving the marginal likelihood. Motivated by the desire to avoid the inefficiencies of MCMC algorithms rejecting a considerable amount of expensive proposals, this paper develops an alternative inference framework based on adaptive multiple importance sampling (AMIS). In particular, this paper studies the application of AMIS for GPs in the case of a Gaussian likelihood, and proposes a novel pseudo-marginal-based AMIS algorithm for non-Gaussian likelihoods, where the marginal likelihood is unbiasedly estimated. The results suggest that the proposed framework outperforms MCMC-based inference of covariance parameters in a wide range of scenarios.     

Layered adaptive importance sampling

Monte Carlo methods represent the de facto standard for approximating complicated integrals involving multidimensional target distributions. In order to generate random realizations from the target distribution, Monte Carlo techniques use simpler proposal probability densities to draw candidate samples. The performance of any such method is strictly related to the specification of the proposal distribution, such that unfortunate choices easily wreak havoc on the resulting estimators. In this work, we introduce a layered (i.e., hierarchical) procedure to generate samples employed within a Monte Carlo scheme. This approach ensures that an appropriate equivalent proposal density is always obtained automatically (thus eliminating the risk of a catastrophic performance), although at the expense of a moderate increase in the complexity. Furthermore, we provide a general unified importance sampling (IS) framework, where multiple proposal densities are employed and several IS schemes are introduced by applying the so-called deterministic mixture approach. Finally, given these schemes, we also propose a novel class of adaptive importance samplers using a population of proposals, where the adaptation is driven by independent parallel or interacting Markov chain Monte Carlo (MCMC) chains. The resulting algorithms efficiently combine the benefits of both IS and MCMC methods.