Permanency planning for children and youth: out-of-home placement decisions

This article advocates the extension of "permanency planning" in out-of-home placements to include those children and youth with developmental disabilities. It discusses permanency planning and notes its promise in improving the opportunities of all children and youth to grow up in a stable family environment. There is a need for major initiatives in this area: 78% of children and youth with developmental disabilities who are placed in long-term care have no such protections. Though some states currently operate programs according to the principles of permanency planning, significant changes in existing federal policy are recommended to require permanency planning in federally supported out-of-home care for all children, including those with severe disabilities.     

Multimodal learning analytics for game-based learning

A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning analytics informed by multimodal data captured during students’ interactions with game-based learning environments hold significant promise for developing a deeper understanding of game-based learning, designing game-based learning environments to detect maladaptive behaviors and informing adaptive scaffolding to support individualized learning. This paper introduces a multimodal learning analytics approach that incorporates student gameplay, eye tracking and facial expression data to predict student posttest performance and interest after interacting with a game-based learning environment, Crystal Island . We investigated the degree to which separate and combined modalities (ie, gameplay, facial expressions of emotions and eye gaze) captured from students (n = 65) were predictive of student posttest performance and interest after interacting with Crystal Island . Results indicate that when predicting student posttest performance and interest, models utilizing multimodal data either perform equally well or outperform models utilizing unimodal data. We discuss the synergistic effects of combining modalities for predicting both student interest and posttest performance. The findings suggest that multimodal learning analytics can accurately predict students’ posttest performance and interest during game-based learning and hold significant potential for guiding real-time adaptive scaffolding.     

A “Grand Challenge”: Measuring Information Societies

Even though there has been a proliferation of e-society measures in recent years, analyses of the metrics of the “information society” are still far from responsive to the needs of many stakeholders and continue to suffer from a number of serious limitations. Issues in eight critical areas are briefly presented. They include: definition of the universe to be measured; definition of the objects and phenomena to include in the universe; need to establish measurements based upon solid theories; units of measurements; data sources and collection; methods of analysis and construction of indicators; target audiences; and purpose and utilization of measurements. An organized collective effort, which could provide the impetus for the development of a coherent academic field of study, is called for to address this “grand challenge.”     

The wigner distribution in speech processing applications

Recently the Wigner distribution has been shown to be a potentially useful tool for analysing the time varying frequency domain phenomenon. In this paper, some of the salient features of the Wigner distribution are presented; properties of this important discrete distribution are derived, and an efficient digital implementation is presented. Effective Wigner throughput rates, in excess of those obtainable with an equivalent length FFT, are shown to be feasible. In particular, the Wigner distribution is studied in the context of enhancing speech analysis and recognition systems. It is suggested that this class of distribution is consistent with the mechanics of human speech and, using experimentation, produces a very robust spectral signature. This enriched data space can be used to uncover some frequency domain attributes of human speech which may be lost using a discrete Fourier transform.     

The impact of enhancing students' social and emotional learning: a meta-analysis of school-based universal interventions

This article presents findings from a meta-analysis of 213 school-based, universal social and emotional learning (SEL) programs involving 270,034 kindergarten through high school students. Compared to controls, SEL participants demonstrated significantly improved social and emotional skills, attitudes, behavior, and academic performance that reflected an 11-percentile-point gain in achievement. School teaching staff successfully conducted SEL programs. The use of 4 recommended practices for developing skills and the presence of implementation problems moderated program outcomes. The findings add to the growing empirical evidence regarding the positive impact of SEL programs. Policy makers, educators, and the public can contribute to healthy development of children by supporting the incorporation of evidence-based SEL programming into standard educational practice.     

Development and reliability of the comprehensive crisis plan checklist

It is of vital importance that children are educated in a safe environment. Every school needs to have a well‐developed crisis management document containing plans for prevention, intervention, and postvention. We developed the Comprehensive Crisis Plan Checklist (CCPC) to serve as a valuable tool that can be used to assist practitioners with evaluation of their school crisis management plans. To use the CCPC, school personnel should match the items on the checklist to elements in their developing or existing crisis plan to determine missing elements. By comparing a school or district crisis plan to the CCPC, practitioners or school personnel will be able to determine strengths and weaknesses of the plan as well as provide feedback for making their plans more complete and comprehensive. In this study, we describe the development of the CCPC and report on reliability data using this checklist. © 2010 Wiley Periodicals, Inc.     

What will I be when I grow up? An analysis of childhood expectations and career outcomes

In this paper, we utilise the British National Child Development Study to explore the determinants of career expectations formed at the age of 16. We analyse the influence of careers advice and resources at school on career expectations as well as the influence of education. In addition, we explore the accuracy of occupational expectations as compared to the occupation that the respondents subsequently become employed in. Throughout our findings, human capital and gender play a pivotal role in explaining career expectations as well as explaining the accuracy of the occupational forecast. Interestingly, the level of school resources available for careers guidance in terms of the number of teachers who are qualified to give careers advice and the amount of specific careers guidance training received by these teachers both have relatively small effects upon career expectations.