Exploring the Functionality of Visual and Non-Visual Strategies in Solving Rotation Problems

This article deals with the solving of rotation problems, and shows that there is an alternative to using mental rotations or their encoding into verbal terms: namely using geometrical properties. The idea is consistent with the theory which distinguishes between visual and analytical individuals, but uses the construct strategies instead of the construct preferred processing mode. Moreover, contrary to many researchers who refer to this distinction, but who often use it to classify students, this researcher introduces a new parameter, namely the nature of the task. The article presents the analysis of the functionality and effectiveness of the different kind of strategies as a function of the task's characteristics. The research, dealing not with individual traits but with solving strategies, offers information that could be helpful for the improvement of geometry teaching.     

From communication to verbalization: Language practices in kindergarten

Most children attend kindergarten very early in western societies; in fact, they are inserted in different contexts of socialization (family, school and/or other day-care). In what are these contexts of socialization different for linguistic abilities that they contribute to develop? How can the young children adapt themselves to these differences? These questions are discussed considering theoretical interactionnist approaches, and some analyses of communication practices in french kindergarten. Perspectives are released for a discussion on a pedagogy of oral language with young children.     

Comparisons of observed process quality in early child care and education programs in five countries

In this cross-national study, observed process quality in preschool classrooms was compared across five countries—Austria (n = 37), Germany (n=103), Portugal (n=88), Spain (n=80), and the U.S.A. (n=390). Process quality was assessed using the Early Childhood Environment Rating Scale (ECERS) and the Caregiver Interaction Scale (CIS). Both instruments had comparable properties when used in the different countries. A MANOVA found overall ECERS differences between countries, with Austria and Germany scoring higher than Spain, and Austria higher than the U.S.A. CIS Sensitivity scale differences showed Austria and Spain with higher scores than the U.S.A. Tests of homogeneity of variance showed U.S.A. with the highest standard deviations. A discriminant analysis, using countries as groups and ECERS items as criterion variables, revealed differences between countries on two discriminant functions: Personalized Care and Availability and Use of Space and Play Materials. Results are discussed in terms of the early childhood traditions and infrastructures found in the five countries.     

Categorising computer science education research

The interdisciplinary nature of Computer Science Education as a field of study is a complicating factor when authors are choosing appropriate journals and conferences for publishing research results. This paper reports a survey of 42 such publications in order to identify the types of paper frequently accepted for publication in each. We review existing taxonomies developed for the general fields of Computer Science and Education, and from this starting point, we develop a novel faceted taxonomy, specifically aimed to help new researchers in the field understand what types of papers are published and where they appear. Our results confirm previous studies indicating the predominance of practice-based, technology-driven reports. We also observe certain differences in educational themes between those found in publications grounded in the Computer Science Education corpus and those emerging from more general Higher Education literature.     

Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results

Governmental initiatives around scientific policy have progressively raised collaboration to priority status. In this context, a need has arisen to broaden the traditional approach to the analysis and study of research results by descending to the group or even the individual scale and supplementing the output-, productivity-, visibility- and impact-based focus with new measures that emphasize collaboration from the vantage of structural analysis. To this end, the present paper proposes new hybrid indicators for the analysis and evaluation of individual research results, popularity and prestige, that combine bibliometric and structural aspects. A case study was conducted of the nine most productive departments in Carlos III University of Madrid. The findings showed hybridization to be a tool sensitive to traditional indicators, but also to the new demands of modern science as a self-organized system of interaction among individuals, furnishing information on researchers’ environments and the behaviour and attitudes adopted within those environments.     

Scientific discovery and topological transitions in collaboration networks

We analyze the advent and development of eight scientific fields from their inception to maturity and map the evolution of their networks of collaboration over time, measured in terms of co-authorship of scientific papers. We show that as a field develops it undergoes a topological transition in its collaboration structure between a small disconnected graph to a much larger network where a giant connected component of collaboration appears. As a result, the number of edges and nodes in the largest component undergoes a transition between a small fraction of the total to a majority of all occurrences. These results relate to many qualitative observations of the evolution of technology and discussions of the “structure of scientific revolutions”. We analyze this qualitative change in network topology in terms of several quantitative graph theoretical measures, such as density, diameter, and relative size of the network's largest component.To analyze examples of scientific discovery we built databases of scientific publications based on keyword and citation searches, for eight fields, spanning experimental and theoretical science, across areas as diverse as physics, biomedical sciences, and materials science. Each of the databases was vetted by field experts and is the result of a bibliometric search constructed to maximize coverage, while minimizing the occurrence of spurious records. In this way we built databases of publications and authors for superstring theory, cosmic strings and other topological defects, cosmological inflation, carbon nanotubes, quantum computing and computation, prions and scrapie, and H5N1 influenza. We also built a database for a classical example of “pathological” science, namely cold fusion. All these fields also vary in size and in their temporal patterns of development, with some showing explosive growth from an original identifiable discovery (e.g. carbon nanotubes) while others are characterized by a slow process of development (e.g. quantum computers and computation).We show that regardless of the detailed nature of their developmental paths, the process of scientific discovery and the rearrangement of the collaboration structure of emergent fields is characterized by a number of universal features, suggesting that the process of discovery and initial formation of a scientific field, characterized by the moments of discovery, invention and subsequent transition into “normal science” may be understood in general terms, as a process of cognitive and social unification out of many initially separate efforts. Pathological fields, seemingly, never undergo this transition, despite hundreds of publications and the involvement of many authors.     

Hierarchical Models of Social Competence in Preschool Children: A Multisite,Multinational Study

The generality of a multilevel factorial model of social competence (SC) for preschool children was tested in a 5‐group, multinational sample (N = 1,540) using confirmatory factor analysis. The model fits the observed data well, and tests constraining paths for measured variables to their respective first‐order factors across samples also fit well. Equivalence of measurement models was found at sample and sex within‐sample levels but not for age within sample. In 2 groups, teachers’ ratings were examined as correlates of SC indicators. Composites of SC indicators were significantly associated with both positive and negative child attributes from the teachers’ ratings. The findings contribute to understanding of both methodological and substantive issues concerning SC in young children.     

Tracking students’ progress through the Spanish university school sector

From individual longitudinal data for a full cohort of first-entering students who embarked on short programs in Spain and were observed over a 7-year period ending in 2003, we analyze the probability that an individual will drop out, transfer, or graduate from a university school program. The statistical analysis is carried out in a competing-risks framework. We find that the system’s internal efficiency is low, with dropout and completion rates averaging 50 and 36%, respectively. However, we find considerable variability in the probabilities of withdrawal, transfer, and graduation among students. In this regard, our results show that preenrollment academic ability, age at enrollment, family characteristics, and secondary educational experience are major influences on student progress.     

The international epidemiology of child sexual abuse: A continuation of Finkelhor (1994)

ObjectiveThe purpose of this paper was to compare the prevalence rates of child sexual abuse reported by [Finkelhor, D. (1994). The international epidemiology of child sexual abuse. Child Abuse & Neglect, 18 (5), 409–417] with those found in recent publications in order to confirm the widespread prevalence of child sexual abuse.MethodsRelevant articles about prevalence of child sexual abuse were identified through searches of computerized databases and a handsearch of Child Abuse & Neglect and the Journal of Child Sexual Abuse.ResultsThirty-eight independent articles were identified, corresponding to 39 prevalence studies; these articles report the prevalence of childhood sexual abuse in 21 different countries, ranging from 0 to 53% for women and 0 to 60% for men.ConclusionsComparison of the present study with that of [Finkelhor, D. (1994). The international epidemiology of child sexual abuse. Child Abuse & Neglect, 18 (5), 409–417] shows a similarity between prevalence distributions; there appears to be a general pattern that remains more or less constant over the years, especially in women.Practice implicationsTwelve years after the first revision study about the international prevalence of child sexual abuse, there is still a need for new data about this topic. The present study shows child sexual abuse is still a widespread problem in the society. In this research, carried out on 38 independent studies, there is new data for 21 countries over the world, being especially relevant the results obtained from other countries different from those pertaining to North America or Europe. It is important to point out the high prevalence found in most of the countries, so this information could be a new warning to make society and governments aware of this problem and undertake actions to prevent sexual abuse in childhood.