Examining preservice teacher content and pedagogical content knowledge needed to teach reading in elementary school

Recently, increased attention has been placed on the importance of having knowledgeable and skilled teachers in order to influence reading achievement. Yet many international reports suggest that large numbers of children are not learning to read. How can we better prepare teachers with the necessary knowledge to teach reading? The current study examined the reading instructional knowledge of elementary education preservice teachers (N = 87) from two teacher education programmes. Programme A required five reading methods courses and Programme B required two methods courses. Findings indicate that the preservice teachers presented fairly robust levels of knowledge in the areas of phonological awareness, phonics, comprehension and vocabulary. However, we found statistically significant differences in knowledge based on the programme attended and the number of courses completed. Suggestions for improving reading teacher education are provided.     

Science,technology and regional economic development

In recent years it has become clear that a firm's competitive position is significantly influenced by its capacity to innovate. This paper explores the hypothesis that if there are factors operating at the regional level which inhibit this capacity, then firms located in particular regions may suffer. One such factor might be a lack of centralized scientific services. Regions under-represented in terms of a viable scientific infrastructure may find difficulty in attrating new science-based firms, and firms already in the region may find themselves at a comparative disavantage compared with firms located elsewhere. Social forces of this kind might be playing an important part in enhancing the social and economic problems of underdeveloped regions.     

Whole-body vibration effects on the muscle activity of upper and lower body muscles during the baseball swing in recreational baseball hitters

The purpose of this study was to evaluate the effects of whole-body vibration (WBV) on the muscle recruitment of selected upper and lower body muscles during the baseball swing. Participants were recreationally trained males (n = 16, 22 +/- 2 years, 181.4 +/- 7.4 cm, 84.7 +/- 9.0 kg), with previous baseball experience. Subjects participated in three randomized sessions on separate days, consisting of three sets of five swings offa hitting tee. Exercises (upper and lower body dynamic and static movements) with or without WBVexposure were performed between swing sets. During each swing, the gastrocnemius, biceps femoris, gluteus maximus, pectoralis major, latissimus dorsi, and triceps brachii were evaluated for electromyographic (EMG) activity. EMG values were normalized to EMG measured during maximal voluntary isometric contraction. Statistical analysis revealed no significant differences in EMG activity across the three treatments. In addition, the results displayed a specific muscle recruitment order during the swing, starting with the lower body followed by the upper body muscles. This study was the first to report the recruitment order during the baseball swing. Although acute exposure to WBV did not significantly alter the muscle recruitment, these results may prove useful for practitioners looking to enhance baseball swing performance.     

The effect of acceleration signal processing for head impact numeric simulations

Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modeling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8–30g) and rotational measures (1000–4000 rad/s²), but little effect on the finite element strain result (approximately 2–6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.     

Students with autism in regular classes: a long-term follow-up study of a satellite class transition model

Students with autism spectrum disorders (ASDs) are increasingly being educated within mainstream schools. While there is often an assumption that students with ASD who are academically capable will succeed in an inclusive educational placement, previous research has indicated that this is not always the case. Indeed, it seems that students with ASDs are often not equipped to cope with the social and communication demands of a mainstream classroom. Autism Spectrum Australia's (Aspect) satellite class programme aims to address this gap by blending specialised intervention with strategies to prepare students and receiving schools for transition to more inclusive educational placements. A long-term follow-up study comprising a parent survey of satellite class graduates and four detailed case studies was undertaken to determine whether these classes led to successful placement of students with ASD in more inclusive educational settings. Results indicated that a majority of graduates remained placed in more inclusive educational settings. Overall, parents were satisfied with the programme. Attendance at a satellite class was just one of a number of factors associated with positive outcomes in late adolescence. These findings are discussed in terms of their implications for teachers and school staff planning for and supporting students with ASDs in their transition to inclusive educational settings.     

Higher education as a self‐guiding society

Abstract

Over the last two decades, there has been a significant change in the financing of higher education in the United States. A decrease in student and institutional support in real terms, tuition increases at all types of institutions, along with the view that students are the primary beneficiaries of higher education has resulted in policies that reduce the proportion of higher education costs borne by the federal and state governments. This paper will describe this financing shift in the United States, and analyse its impact on college participation with a particular focus on equity and opportunity. It will also provide an analysis of some questions that European countries should address as they implement their own policies that shift the burden of paying for college from the government to individuals, and as they consider various forms of financial assistance to help students pay for college.     

Models and Strategies for Factor Mixture Analysis: An Example Concerning the Structure Underlying Psychological Disorders

The factor mixture model (FMM) uses a hybrid of both categorical and continuous latent variables. The FMM is a good model for the underlying structure of psychopathology because the use of both categorical and continuous latent variables allows the structure to be simultaneously categorical and dimensional. This is useful because both diagnostic class membership and the range of severity within and across diagnostic classes can be modeled concurrently. Although the conceptualization of the FMM has been explained in the literature, the use of the FMM is still not prevalent. One reason is that there is little research about how such models should be applied in practice and, once a well-fitting model is obtained, how it should be interpreted. In this article, the FMM is explored by studying a real data example on conduct disorder. By exploring this example, this article aims to explain the different formulations of the FMM, the various steps in building a FMM, and how to decide between an FMM and alternative models.