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.     

Web-enhanced case-based activity in teacher education: a case study

Recent work in case-based reasoning (CBR) reinforces the importance of situated learning, expert cases, and authentic tasks and activities for novice learners. As novices engage CBR environments, they apprentice in the experts’ practices while developing the understanding, knowledge and skill of a given community. This study examined how prospective teachers, as novices in a semester-long course, engaged and developed expert-like practices using the case knowledge of experienced teachers who teach with technology. By engaging experienced teachers’ knowledge and skill via Web-enhanced cases, prospective teachers refined their understanding of teaching culture and teaching with technology as they transitioned to the teaching community.     

Listening to ‘the thick bunch’: (mis)understanding and (mis)representation of young people in jobs without training in the South West of England

Young people in jobs without training are ubiquitous but invisible, working in shops, cafes, and other low‐waged, low‐status occupations. Commonly elided with young people who are not in education, employment or training, they are positioned as the ‘thick bunch’ with empty and meaningless working lives. The main purpose of the research was to explore the experiences of this group of marginalised and socially disadvantaged young people through a deeper understanding of their interests and enthusiasms inside and outside work. These young people have been (mis)understood and (mis)represented. A more holistic and nuanced approach that is not uncritically founded upon a set of neo‐liberal stereotypes and assumptions, and instead recognises the complexity of their lives, would offer new opportunities for understanding and representation of their interests. Our findings challenge the conflation of identity with work and the notion that only certain forms of employment create meaning.     

Summer Professional Development in Chemistry for Inservice Teachers Using OWL Quick Prep

Secondary teachers participating in summer professional development chemistry workshops in Texas used an online chemistry tutoring program, OWL Quick Prep (Day et al. in OWL: Online Web-based Learning, Brooks-Cole Cengage Learning, Florence, KY, 1997) as a part of the inservice training. Self-reported demographic data were used to identify factors in preparation and practice that affected pretest and posttest scores. Data from the pretests and posttests indicate that nomenclature and problems requiring calculations were the most challenging topics for the cohort. The participants who correctly completed 90% of the questions in the tutoring modules showed significant improvement in content mastery.     

The impact of after-school programs on educational equality and private tutoring expenses

The purpose of this study was to examine how the implementation of after-school programs in Korea’s public schools is related to educational equality and private tutoring expenses. The analyzed data was from the Survey on the Status of Private Tutoring and the Study of the Policy Measures to Reduce Private Tutoring Expenses conducted by KEDI (Korea Education Development Institute) in (International conference for exploring the ways to activate the after-school program, KEDI, Seoul, 2007). The Chi-square test was employed to investigate (a) the relationship between after-school participation and family income and residential location of students (b) the association between after-school engagement and the reduction in private tutoring expenses. The study found that: (a) in general, low-income and rural students participated more than higher income and urban peers in after-school programs and (b) after-school participation was generally negatively associated with private tutoring engagement and the impact of after-school participation on the reduction in private tutoring expenses was stronger for low-income students in elementary and high schools and rural students in high schools. The overall findings provide further research issue regarding whether after-school programs can help foster educational equality by offering more opportunities for learning and achievement improvement for disadvantaged students. The results also imply the potential of after-school programs in reducing private tutoring expenses, particularly for low-income families.     

Young adolescents' metacognition and domain knowledge as predictors of hypothesis‐development performance in a computer‐supported context

Recently, the importance of ill‐structured problem‐solving in real‐world contexts has become a focus of educational research. Particularly, the hypothesis‐development process has been examined as one of the keys to developing a high‐quality solution in a problem context. The authors of this study examined predictive relations between young adolescents' metacognition, prior domain knowledge, and hypothesis‐development performance in a computer‐supported environment. Data were collected from 11‐ and 12‐year‐old Korean students (N = 101). A hypothesised model in predicting hypothesis‐development performance was evaluated using structural equation modelling. Both metacognition and prior domain knowledge significantly predicted young adolescents' hypothesis‐development performance. Implications and limitations of the present study and issues, including the experimental design, are discussed.     

Data-informed curriculum reform: Which data,what purposes,and promoting and hindering factors

Schools face a lot of data on the functioning of their school which they can use to make improvements in teaching, learning and the organization. For data use to lead to improvement, it is important to further research the concept data-driven decision making. The results of this explorative study in the Netherlands show that teachers mainly use classroom level data for making instructional decisions at classroom level, and school leaders mainly use school level data for policy development decisions. This article ends with suggestions with regard to enhancing the effectiveness of data-driven decision making, for example by stressing the importance of developing teachers' competence in the use of data.     

A destination development by building a brand image and sport event tourism: a case of Sport City USA

Abstract

While visitors look for a complete ‘experience’ and select travel destinations on the basis of the total set of destination attributes, individual suppliers that operate independently usually market offer in fragmented pieces. A destination brand with strong equity leads to greater commitment in the form of loyalty and willingness to revisit the destination. As one of the key components for destination characteristics, the sports industry has rapidly developed in recent years. Two cities were discussed as the known for sport city case and Frisco, Texas was examined for the current study. The results of this study show that the economic impact is significant for a destination. Some critical factors (e.g. sustainability) should be discussed in future study.     

Using an R shiny to enhance the learning experience of confidence intervals

Many students find understanding confidence intervals difficult, especially because of the amalgamation of concepts such as confidence levels, standard error, point estimates and sample sizes. An R Shiny application was created to assist the learning process of confidence intervals using graphics and data from the US National Basketball Association.