Supporting active database learning and training through interactive multimedia

The learning objectives of a database course include aspects from conceptual and theoretical knowledge to practical development and implementation skills. We present an interactive educational multimedia system based on the virtual apprenticeship model for the knowledge- and skills-oriented Web-based education of database course students. Combining knowledge learning and skills training in an integrated environment is a central aspect of our system. We show that tool-mediated independent learning and training in an authentic setting is an alternative to traditional classroom-based approaches

Performative ontologies. Sociomaterial approaches to researching adult education and lifelong learning

Sociomaterial approaches to researching education, such as those generated by actornetwork theory and complexity theory, have been growing in significance in recent years, both theoretically and methodologically. Such approaches are based upon a performative ontology rather than the more characteristic representational epistemology that informs much research. In this article, we outline certain aspects of sociomaterial sensibilities in researching education, and some of the uptakes on issues related to the education of adults. We further suggest some possibilities emerging for adult education and lifelong learning researchers from taking up such theories and methodologies. (DIPF/Orig.

Clinical Pathways to Ethically Substantive Autonomy

There is no shortage of support for the idea that ethics should be incorporated into the academic and professional curriculum. There is a difference, however, between, on the one hand, teaching professionals about ethics, and, on the other, demanding that they give ethical expression to the range of professional skills they are expected to apply daily in their work. If this expression is not to be perfunctory, ethical judgement must be genuinely integrated into the professional skill set. The mark of integration in this regard is the capacity for autonomous judgement. Ethical autonomy cannot be achieved by a mechanical, rule-bound and circumstance-specific checklist of ethical do’s and don’ts, and it is only partially achieved by a move from mechanistic rules to ‘outcome based’ processes. Rather, professional ethical autonomy presupposes not only a formal understanding of the requirements of an ethical code of conduct, but a genuine engagement with the substantive values and techniques that enable practitioners to interpret and apply principles confidently over a range of circumstances. It is not then, that ethical skill is not valued by the legal profession or legal education, or that the shortfall of ethical skill goes unacknowledged, it is rather that the language of professional ethics struggles to break free from the cautious circularity that is the mark of its formal expression. To require a professional to ‘act in their client’s interests’, or ‘act in accordance with the expectations of the profession’ or act ‘fairly and effectively’ are formal, infinitely ambiguous and entirely safe suggestions; to offer a substantive account of what, specifically, those interests might be, or what expectations we should have, are rather more contentious. Fears of dogma and a narrowing of discretion do, of course, accompany the idea of a search for ethical substance, and caution is to be expected in response to it. Notwithstanding these anxieties, there would appear to be no coherent alternative to the aspiration to substantive autonomy, and this must remain the goal of teaching legal ethics. In light of this, the problem facing educationalists is then perhaps expressed more diplomatically in terms of how ethical skill might be substantively developed, imparted, and integrated into a genuinely comprehensive conception of professional skill. Clinical education can go a long way to solving this problem: exposure to the practical tasks of lawyering is the surest and best way of raising consciousness in this regard: ‘Hands-on’ is good - and consciousness-raising is a step in the direction of autonomy, but raw experience and elevated awareness is not enough. We know that our most influential theories of learning tells us that it is in the process of reflection upon problem solving that the practitioner begins to take autonomous control of skill development. In the view of the author, reflection, requires content and direction, and in this paper, with the aid of three models of skill integration inspired by Nigel Duncan’s detailed analysis and video reconstruction of the ethical and technical skill deficiencies brought to light by R v Griffiths, we attempt to specify what might be understood in this regard: Reflective content refers to the discrete interests and values that compete to produce tension in what we will refer to the ‘matrix’ of concerns that feature in all forms of dispute resolution; reflective direction points to an engagement with the resources and techniques that can empower critical and autonomous judgment. In the context of a clinical process broadly structured by the insights of Wenger and by Rest’s model of ethical skill, guided reflection so specified thus serves as an interface between on the one hand, indeterminate ethical form, and, on the other, the substantive ethical wisdom to be found in the repository of values that underpin the very idea of the legal enterprise

Proceedings of International Workshop "Global Computing: Programming Environments, Languages, Security and Analysis of Systems"

According to the IST/ FET proactive initiative on GLOBAL COMPUTING, the goal is to obtain techniques (models, frameworks, methods, algorithms) for constructing systems that are flexible, dependable, secure, robust and efficient. The dominant concerns are not those of representing and manipulating data efficiently but rather those of handling the co-ordination and interaction, security, reliability, robustness, failure modes, and control of risk of the entities in the system and the overall design, description and performance of the system itself. Completely different paradigms of computer science may have to be developed to tackle these issues effectively. The research should concentrate on systems having the following characteristics: • The systems are composed of autonomous computational entities where activity is not centrally controlled, either because global control is impossible or impractical, or because the entities are created or controlled by different owners. • The computational entities are mobile, due to the movement of the physical platforms or by movement of the entity from one platform to another. • The configuration varies over time. For instance, the system is open to the introduction of new computational entities and likewise their deletion. The behaviour of the entities may vary over time. • The systems operate with incomplete information about the environment. For instance, information becomes rapidly out of date and mobility requires information about the environment to be discovered. The ultimate goal of the research action is to provide a solid scientific foundation for the design of such systems, and to lay the groundwork for achieving effective principles for building and analysing such systems. This workshop covers the aspects related to languages and programming environments as well as analysis of systems and resources involving 9 projects (AGILE , DART, DEGAS , MIKADO, MRG, MYTHS, PEPITO, PROFUNDIS, SECURE) out of the 13 founded under the initiative. After an year from the start of the projects, the goal of the workshop is to fix the state of the art on the topics covered by the two clusters related to programming environments and analysis of systems as well as to devise strategies and new ideas to profitably continue the research effort towards the overall objective of the initiative. We acknowledge the Dipartimento di Informatica and Tlc of the University of Trento, the Comune di Rovereto, the project DEGAS for partially funding the event and the Events and Meetings Office of the University of Trento for the valuable collaboration

An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development

Digital technologies are becoming more pervasive and industrial companies are exploiting them to enhance the potentialities related to Prognostics and Health Management (PHM). Indeed, PHM allows to evaluate the health state of the physical assets as well as to predict their future behaviour. To be effective in developing PHM programs, the most critical assets should be identified so to direct modelling efforts. Several techniques could be adopted to evaluate asset criticality; in industrial practice, criticality analysis is amongst the most utilised. Despite the advancement of artificial intelligence for data analysis and predictions, the criticality analysis, which is built upon both quantitative and qualitative data, has not been improved accordingly. It is the goal of this work to propose an ontological formalisation of a multi-attribute criticality analysis in order to i) fix the semantics behind the terms involved in the analysis, ii) standardize and uniform the way criticality analysis is performed, and iii) take advantage of the reasoning capabilities to automatically evaluate asset criticality and associate a suitable maintenance strategy. The developed ontology, called MOCA, is tested in a food company featuring a global footprint. The application shows that MOCA can accomplish the prefixed goals; specifically, high priority assets towards which direct PHM programs are identified. In the long run, ontologies could serve as a unique knowledge base that integrate multiple data and information across facilities in a consistent way. As such, they will enable advanced analytics to take place, allowing to move towards cognitive Cyber Physical Systems that enhance business performance for companies spread worldwide