Identifying Antecedents to Learning Effectively with Digital Media: A Student-Centered Approach

Digital media is becoming more pervasive in the classroom. Even in Germany that has hesitated compared to other OECD countries to implement technology into the classroom, there is increasingly more pressure to use digital media for teaching and learning processes (Gerick, Eickelmann, & Bos, 2017). This effort to equip schools with digital media such as tablets has emerged despite not knowing how regular digital media use in classrooms affects student learning processes. Although research has attempted to keep up with the pace that digital media has entered classrooms, it has tended to emphasize gains in student achievement (Lai & Bower, 2020), with much less attention paid to the factors that precede student learning processes. To understand how students may learn with digital media in classrooms, recent conceptions of learning have highlighted that students arrive in the classroom with a range of learning skills, beliefs, prior knowledge, and experiences that significantly influence how they interpret their learning environments and acquire new knowledge (Bransford, Brown, & Cocking, 2000). Rather than look at student learning outcomes, this dissertation has aimed to build on previous theories and models about how students learn in classrooms to understand the antecedent factors that precede effective learning processes in classrooms with digital media. Following the opportunity to learn model (Seidel, 2014), students’ previous learning environments, including their families, influence students’ individual learning prerequisites, such as students’ cognitive and motivational-affective characteristics, which in turn affect students’ individual learning processes and subsequently learning outcomes (Seidel, 2014). Therefore, I have investigated (1) how parents’ beliefs and behaviors at home affect the development of students’ digital media self-efficacy, (2) how students perceive instructional quality in classrooms with digital media depending on their cognitive and motivational-affective characteristics, and (3) how students’ perceptions compared in classes with and without digital media as well as in classes where teachers had lower or higher technology innovativeness. These questions were addressed in three empirical studies that used data from a school trial investigating the use of digital media in classrooms. In Study 1, I investigated how students’ family environments and experiences at home shape students’ development of digital media self-efficacy. Specifically, using the parent socialization model, one link of the widely used expectancy-value model framework (Eccles et al., 1983), I examined whether parents’ behaviors including modeling and provision of digital media mediated the relation between parents’ value beliefs regarding digital media and students’ digital media self-efficacy (N = 1,206 students and their parents). To assess parents’ beliefs and behaviors regarding digital media, a questionnaire was developed. Results showed though parents’ value beliefs were related to students’ digital media self-efficacy, only parents’ provision of smart phones mediated this relation. Findings indicate the importance of parents’ beliefs regarding digital media and the need for future research into at home factors that influence students’ digital media self-efficacy. In Study 2 and in Study 3, I investigated students’ perceptions of supportive climate and cognitive activation in classes with tablets to understand how the use of tablets may affect how students experience their new learning context and in turn inform students’ learning outcomes. In both studies, I used latent profile analysis to first examine whether students could be grouped into distinct profiles based on their subject-specific motivational and cognitive characteristics and whether these profiles differentially predicted students’ perceptions. In Study 2, I compared students’ profile perceptions of supportive climate in biology classes with (n = 518 students) and without tablets (n = 540 students). After four months of tablet use, the ‘struggling’ and ‘unmotivated’ profiles perceived supportive climate significantly more positively than the same profiles in classes that were not given tablets. Building on these findings, in Study 3, I investigated whether there were differences between students’ perceptions of supportive climate and cognitive activation in math classes with tablets depending on teachers’ beliefs towards using technology (n = 575 students; n = 23 teachers). I found that most students perceived instructional practices more positively in classes where teachers had higher technology innovativeness with the exception of the ‘unmotivated’ profile that perceived instructional practices more negatively. The contribution of this dissertation is that students perceive instruction with digital media differently depending on their cognitive and motivational-affective characteristics. Understanding that not all students will perceive and learn with digital media in the same way has important implications for teachers’ use of digital media in the classroom as well as researchers investigating how digital media facilitates student learning. Furthermore, students’ previous experiences with digital media and characteristics such as digital media self-efficacy can affect how they feel towards and learn with digital media. Moving forward, research exploring how learning with digital media in classrooms takes place should also examine the factors outside the classroom such as students’ experiences with digital media at home

Evolutionary Dynamics of Vibrio cholerae O1 following a Single-Source Introduction to Haiti

ABSTRACT Prior to the epidemic that emerged in Haiti in October of 2010, cholera had not been documented in this country. After its introduction, a strain of Vibrio cholerae O1 spread rapidly throughout Haiti, where it caused over 600,000 cases of disease and >7,500 deaths in the first two years of the epidemic. We applied whole-genome sequencing to a temporal series of V. cholerae isolates from Haiti to gain insight into the mode and tempo of evolution in this isolated population of V. cholerae O1. Phylogenetic and Bayesian analyses supported the hypothesis that all isolates in the sample set diverged from a common ancestor within a time frame that is consistent with epidemiological observations. A pangenome analysis showed nearly homogeneous genomic content, with no evidence of gene acquisition among Haiti isolates. Nine nearly closed genomes assembled from continuous-long-read data showed evidence of genome rearrangements and supported the observation of no gene acquisition among isolates. Thus, intrinsic mutational processes can account for virtually all of the observed genetic polymorphism, with no demonstrable contribution from horizontal gene transfer (HGT). Consistent with this, the 12 Haiti isolates tested by laboratory HGT assays were severely impaired for transformation, although unlike previously characterized noncompetent V. cholerae isolates, each expressed hapR and possessed a functional quorum-sensing system. Continued monitoring of V. cholerae in Haiti will illuminate the processes influencing the origin and fate of genome variants, which will facilitate interpretation of genetic variation in future epidemics

Sex-Specific Genetic Structure and Social Organization in Central Asia: Insights from a Multi-Locus Study

In the last two decades, mitochondrial DNA (mtDNA) and the non-recombining portion of the Y chromosome (NRY) have been extensively used in order to measure the maternally and paternally inherited genetic structure of human populations, and to infer sex-specific demography and history. Most studies converge towards the notion that among populations, women are genetically less structured than men. This has been mainly explained by a higher migration rate of women, due to patrilocality, a tendency for men to stay in their birthplace while women move to their husband's house. Yet, since population differentiation depends upon the product of the effective number of individuals within each deme and the migration rate among demes, differences in male and female effective numbers and sex-biased dispersal have confounding effects on the comparison of genetic structure as measured by uniparentally inherited markers. In this study, we develop a new multi-locus approach to analyze jointly autosomal and X-linked markers in order to aid the understanding of sex-specific contributions to population differentiation. We show that in patrilineal herder groups of Central Asia, in contrast to bilineal agriculturalists, the effective number of women is higher than that of men. We interpret this result, which could not be obtained by the analysis of mtDNA and NRY alone, as the consequence of the social organization of patrilineal populations, in which genetically related men (but not women) tend to cluster together. This study suggests that differences in sex-specific migration rates may not be the only cause of contrasting male and female differentiation in humans, and that differences in effective numbers do matter

The association of serotonin receptor 3A methylation with maternal violence exposure, neural activity, and child aggression

Background Methylation of the serotonin 3A receptor gene (HTR3A) has been linked to child maltreatment and adult psychopathology. The present study examined whether HTR3A methylation might be associated with mothers' lifetime exposure to interpersonal violence (IPV), IPV-related psychopathology, child disturbance of attachment, and maternal neural activity. Methods Number of maternal lifetime IPV exposures and measures of maternal psychopathology including posttraumatic stress disorder (PTSD), major depression and aggressive behavior (AgB), and a measure of child attachment disturbance known as “secure base distortion” (SBD) were assessed in a sample of 35 mothers and children aged 12–42 months. Brain fMRI activation was assessed in mothers using 30-s silent film excerpts depicting menacing adult male-female interactions versus prosocial and neutral interactions. Group and continuous analyses were performed to test for associations between clinical and fMRI variables with DNA methylation. Results Maternal IPV exposure-frequency was associated with maternal PTSD; and maternal IPV-PTSD was in turn associated with child SBD. Methylation status of several CpG sites in the HTR3A gene was associated with maternal IPV and IPV-PTSD severity, AgB and child SBD, in particular, self-endangering behavior. Methylation status at a specific CpG site (CpG2_III) was associated with decreased medial prefrontal cortical (mPFC) activity in response to film-stimuli of adult male-female interactions evocative of violence as compared to prosocial and neutral interactions. Conclusions Methylation status of the HTR3A gene in mothers is linked to maternal IPV-related psychopathology, trauma-induced brain activation patterns, and child attachment disturbance in the form of SBD during a sensitive period in the development of self-regulation

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019 : a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019

Challenges in translational research: the views of addiction scientists.

OBJECTIVES: To explore scientists' perspectives on the challenges and pressures of translating research findings into clinical practice and public health policy. METHODS: We conducted semi-structured interviews with a purposive sample of 20 leading scientists engaged in genetic research on addiction. We asked participants for their views on how their own research translates, how genetic research addresses addiction as a public health problem and how it may affect the public's view of addiction. RESULTS: Most scientists described a direct translational route for their research, positing that their research will have significant societal benefits, leading to advances in treatment and novel prevention strategies. However, scientists also pointed to the inherent pressures they feel to quickly translate their research findings into actual clinical or public health use. They stressed the importance of allowing the scientific process to play out, voicing ambivalence about the recent push to speed translation. CONCLUSIONS: High expectations have been raised that biomedical science will lead to new prevention and treatment modalities, exerting pressure on scientists. Our data suggest that scientists feel caught in the push for immediate applications. This overemphasis on rapid translation can lead to technologies and applications being rushed into use without critical evaluation of ethical, policy, and social implications, and without balancing their value compared to public health policies and interventions currently in place