Comparing Automatic and Manual Measures of Parent–Infant Conversational Turns: A Word of Caution

The Language ENvironment Analysis system (LENA) records children’s language environment and provides an automatic estimate of adult–child conversational turn count (CTC). The present study compares LENA’s CTC estimate to manually coded CTC on a sample of 70 English-speaking infants recorded longitudinally at 6, 10, 14, 18, and 24 months of age. At each age, LENA’s CTC was significantly higher than manually coded CTC (all ps < .001, Cohen’s ds: 0.9–2.05), with the largest discrepancies between the two methods observed at younger ages. The Limits of Agreement Analyses confirm wide disagreements between the two methods, highlighting potential problems with automatic measurement of parent–infant verbal interaction. These findings suggest that future studies should validate LENA’s CTC estimates with manual coding.     

A cultural lens on Yucatec Maya families’ COVID-19 experiences

Health guidance during the COVID-19 pandemic led families around the world to spend more time isolated together, disrupting leisure activities, schooling, social interactions, and family work (UNICEF, 2021). Using the lens of Yucatec Maya families’ cultural values and practices, semi-structured interviews were conducted with 18 Yucatec Maya rural women in Mexico (M_age = 32; and for comparison, 13 middle-class European-American women (M_age = 41)), with children 6–7 years old, to analyze families’ experiences during the pandemic. Faced with the same isolation as in the United States, our exploratory analysis revealed Maya families experienced external stresses but at the same time were generally comfortable with their children's everyday activities and their social-emotional well-being, illuminating consequences of the communities’ cultural theories about development.     

Fish Oil Supplementation in Pregnancy and Neurodevelopment in Childhood—A Randomized Clinical Trial

A double-blind randomized controlled trial of n-3 long-chain polyunsaturated fatty acid (n-3 LCPUFA) supplementation or matching placebo during third trimester of pregnancy was conducted within the COPSAC₂₀₁₀ mother-child cohort consisting of 736 women and their children. The objective was to determine if maternal n-3 LCPUFA pregnancy supplementation affects offspring neurodevelopment until 6 years. Neurodevelopment was evaluated in 654 children assessing age of motor milestone achievement, language development, cognitive development, general neurodevelopment, and emotional and behavioral problems. Maternal n-3 LCPUFA supplementation during pregnancy improved early language development and reduced the impact of emotional and behavioral problems. The n-3 LCPUFA supplementation was in boys associated with the earlier achievement of gross motor milestones, improved cognitive development, and a reduced impact of emotional and behavioral problems.     

Children’s first manifestations of cognitive control in the early years school: the importance of the educational situation and materiality

European Journal of Psychology of Education - Executive functions (EFs) embrace a range of cognitive control processes that allow us to control and direct our own behavior, thoughts, and emotions...     

Handwriting production in Spanish children with dyslexia: spelling or motor difficulties?

Reading and Writing - Spelling and handwriting are different processes; however, they are learned simultaneously, and numerous studies have shown that they interact. Besides the commonly reported...     

Towards Covid-19 Literacy

Covid-19 literacy, induced by the coronavirus disease (2019), is characterized as the understanding of Covid-19 as well as informed decisions based upon this understanding. This type of literacy is closely related to health literacy, scientific literacy, and scientific media literacy. It may be obvious to say that Covid-19 literacy is a key factor for governments to effectively manage the Covid-19 transition. However, lack of literature exists about Covid-19 literacy among university students. Therefore, the current study aimed to determine the Covid-19 literacy level among 4168 students from a Colombian university. The data were derived from students’ responses to a 25–item anonymous online self-reporting questionnaire. We found that 21–25-year age group, graduate students,?students enrolled prior to 2015, and medical students had a significantly higher mean score. Moreover, the Internet (86.8%) was the most popular source of information from which participants gained most information regarding Covid-19. Furthermore, 58.5% of the participants considered health workers as a source that can provide accurate information. Most importantly, the findings reveal the students’ knowledge about (1) the role of an eventual process of vaccination, (2) the test currently used as diagnostic for Covid-19, and (3) the fatality rate, three aspects of Covid-19 literacy that deserve more attention. The findings provide a useful basis for the formulation of policies and concrete actions in improving Covid-19 literacy.

     

Risk Society and Science Education

Science & Education - The current COVID-19 pandemic raises reflection on the new roles of science education in citizen education in a world characterized by civilization risks, derived from the...     

Institutional repository software platforms at undergraduate libraries in the United States

For primarily undergraduate institutions, institutional repositories can become effective tools for communicating and showcasing faculty and student research, facilitating open access initiatives, or supporting new scholarly communication practices. Choosing the right software platform is crucial to the success of a repository initiative. The literature suggests that there are only two or three software platforms heavily used in undergraduate libraries. This article aims to give a landscape of the repository platforms used in sixty-seven undergraduate libraries in the United States in late 2013; it also includes the results of a short survey about current institutional repository software platforms and users/administrators’ satisfaction.     

They have gone,and now what? Understanding re-enrolment patterns in the Catalan public higher education system

Studies of student re-enrolment patterns in higher education constitute, along with traditional studies of persistence and dropout, a key element for improving the quality of higher education institutions. However, these studies tend to be limited as they are centred on a single institution, due to the lack of national-scale data sets for monitoring students between different institutions. Using a longitudinal population-based data set provided by the Catalan University Assurance Agency (AQU), which includes information records on 21,473 undergraduate students, this paper aims to develop and test an exploratory model of student re-enrolment, specifically in the Catalan public university system. We are not only interested in student re-enrolment, but also in whether they do so during the first year after dropout or in the same area of knowledge. Results from logistic regression analysis revealed that although most students return to the university system in the first year after dropout, many of these change to a different area of knowledge, which is clear evidence of dysfunctional and inefficient guidance systems and university entrance. Findings provide a more accurate and complete picture of student re-enrolment behaviour and suggest the need to develop targeted policies to improve the efficiency and effectiveness of our university systems.