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It is suggested that Euro managers must, in addition to possessing
the competences we would associate with any effective manager, be able
to understand and appreciate the differences between people of different
cultures. In developing European managers competence must be addressed.
The most effective way of developing managerial competences is through
learning opportunities such as projects, secondments, distance learning
and computer‐based training.

This paper investigates the complex factors that lead to early career teachers (ECTs) deciding to leave the profession. It extends prior studies to show the associations that different elements of preservice education (PSE), early career support, and on-the-job satisfaction have with the intention to leave the profession. The study uses data from 2,144 Australian ECTs to explore these relationships. Results highlight the importance of teachers' collegial relationships with their peers, and replicate prior findings showing the significance of mentoring and induction programs. Results show that elements of job satisfaction are strongly associated with intention to leave the profession, leading to a number of implications for achieving the twin goals of higher teacher retention and job satisfaction. ; This research was partly supported by the Australian Government's Collaborative Research Network (CRN) program, by the Queensland College of Teachers, and by the OLT project 'Step Up' MS13-3184.

This paper derives from the 'Hit2Gap' project as funded under the European Union's Horizon 2020 R&D programme (Hit2Gap 2015). The aim of this project is to reduce the gap between design intent and the operational performance of large building estates. To this end, a data exchange platform is being established that is able to collect and store data from disparate sources, and deliver subsets of these data to a range of applications (services) intended to support facilities management. The ultimate aim is to identify physical interventions that will alleviate operational problems and so reduce the performance gap. This paper addresses the role of building performance simulation (BPS) within the Hit2Gap project, specifically: the fetching of an input model, its automated calibration, and its use in scripted applications for HVAC system fault detection and diagnosis, upgrade options appraisal, indoor environment quality improvement, energy demand reduction, renewable energy systems integration and control system refinement. The paper summarises the Hit2Gap architecture, the procedure for the automatic calibration of BPS models, and the invocation of cloud-based performance assessments in response to observed problems.

The ability to capture large amounts of data that describe the interactions of learners becomes useful when one has a framework in which to make sense of the processes of learning in complex learning environments. Through the analysis of such data, one is able to understand what is happening in these networks; however, deciding which elements will be of most interest in a specific learning context and how to process, visualize, and analyze large amounts of data requires the use of analytical tools that adequately support the phases of the research process. In this article, we discuss the selection, processing, visualization, and analysis of multiple elements of learning and learning environments and the links between them. We discuss, using the cases of two learning environments, how structure affects the behavior of learners and, in turn, how that behavior has the potential to affect learning. This approach will allow us to suggest possible ways of improving future designs of learning environments.