Methodological Synergy in a National Project: The VITAE Story

VITAE was a four-year research project designed to explore the work and lives of a purposive sample of 300 Key Stage 1, 2 and 3 (English and maths) teachers at different phases of their careers in 100 primary and secondary schools in different socioeconomic contexts, drawn from seven local authorities in England. Its focus was upon identifying variations in different aspects of teachers' lives and work and examining possible connections between these and their effects on pupils as perceived by the teachers themselves and as measured by value-added national test scores. An integrated mixed-method approach was developed in addressing the research questions. The results showed that there were associations between teachers' work, lives and identities, that teachers' perceived and relative (valueadded) effectiveness varied within each of six professional life phases, and that this variation depended upon their capacity to manage a number of moderating and mediating factors. Statistically significant relationships were found between teacher commitment, resilience and the value-added pupil test scores. The findings from the study shed new light upon the meanings and measurement of teacher effectiveness and the complex nature and trajectories of teachers' work, lives and effectiveness in different school contexts.

Virtual Worlds for Learning

This chapter examines four papers that have been influential in the use of virtual worlds for learning, but also draws on a range of other research and literature in order to locate virtual world learning across the landscape of higher education. Whilst there is sometimes a misconception that research into learning in virtual worlds is very new, the field began to develop in the late 1990’s and has continued since then. Typical examples of the first iterations of virtual worlds include Second Life, Active Worlds, and Kaneva, which have been available for up to 20 years. The second generation is currently being developed, examples being High Fidelity and Project Sansar. The chapter reviews the literature in this field and suggests central themes that emerge are: Socialisation; Presence and immersion in virtual world learning; Learning collaboratively and Trajectories of participation

Back-trajectories Show Export of Airborne Fungal Spores (Ganoderma sp.) From Forests to Agricultural and Urban Areas in England

We propose here the hypothesis that all of United Kingdom (UK) is likely to be affected by Ganoderma sp. spores, an important plant pathogen. We suggest that the main sources of this pathogen, which acts as a bioaerosol, are the widely scattered woodlands in the country, although remote sources must not be neglected. The hypothesis is based on related studies on bioaerosols and supported by new observations from a non-forest site and model calculations to support our hypothesis. Hourly concentrations of Ganoderma sp. spores were measured from 2006 to 2010 using a 7-day volumetric spore trap at the city of Worcester. The concentrations peak during the night and early in the morning. This suggests that the main spore sources are located a few hours away with respect to air masses transport and reach urban areas thanks to air masses transport. The back-trajectory analysis was applied to determine the location of Ganoderma sp. spore sources. The analysis of back-trajectories demonstrated that 78% of the air masses reached Worcester from a 180° arc direction from the East to West. Three episodes were selected for detailed investigation and they revealed that during the episodes air masses always passed main UK woodlands before the arrival in Worcester, independently of their origin, but the long distance transport under certain conditions might be possible. Our studies suggest that the sources of UK Ganoderma sp. spores are mainly to be found in UK. Hence our studies suggest that research and mitigation strategies in UK should give their main attention to national sources, without neglecting the contribution from long distance transport.

Improvement in the Accuracy of Back Trajectories Using WRF to Identify Pollen Sources in Southern Iberian Peninsula

Airborne pollen transport at micro-, meso-gamma and meso-beta scales must be studied by atmospheric models, having special relevance in complex terrain. In these cases, the accuracy of these models is mainly determined by the spatial resolution of the underlying meteorological dataset. This work examines how meteorological datasets determine the results obtained from atmospheric transport models used to describe pollen transport in the atmosphere. We investigate the effect of the spatial resolution when computing backward trajectories with the HYSPLIT model. We have used meteorological datasets from the WRF model with 27, 9 and 3 km resolutions and from the GDAS files with 1 ° resolution. This work allows characterizing atmospheric transport of Olea pollen in a region with complex flows. The results show that the complex terrain affects the trajectories and this effect varies with the different meteorological datasets. Overall, the change from GDAS to WRF-ARW inputs improves the analyses with the HYSPLIT model, thereby increasing the understanding the pollen episode. The results indicate that a spatial resolution of at least 9 km is needed to simulate atmospheric flows that are considerable affected by the relief of the landscape. The results suggest that the appropriate meteorological files should be considered when atmospheric models are used to characterize the atmospheric transport of pollen on micro-, meso-gamma and meso-beta scales. Furthermore, at these scales, the results are believed to be generally applicable for related areas such as the description of atmospheric transport of radionuclides or in the definition of nuclear-radioactivity emergency preparedness.