Information Handling and Adaptive Expertise

The purpose of this paper is to argue the case for investigating the culture of information in primary schools. Recent technological change has altered the relationship between the individual and information, yet this change appears not to be reflected in the culture of schools, especially primary schools. To this end the area of the primary ICT curriculum which is categorised as “information handling” is examined, to investigate the current likely manifestation of this culture in schools. Using Hatano’s concept of Adaptive Expertise as its theoretical perspective, the curriculum is analysed from the point of view of how well it is likely to prepare children for a life in which the ability to evaluate information will become a generically crucial skill needing to be applied in many varied and unforeseeable circumstances. Educational researchers have argued the case for change in the way we teach children to deal with information in schools; however this paper suggests that the existing culture of schools needs to be understood and opportunities for change identified if these skills are successfully to be introduced

Optimization in Knowledge-Intensive Crowdsourcing

We present SmartCrowd, a framework for optimizing collaborative knowledge-intensive crowdsourcing. SmartCrowd distinguishes itself by accounting for human factors in the process of assigning tasks to workers. Human factors designate workers' expertise in different skills, their expected minimum wage, and their availability. In SmartCrowd, we formulate task assignment as an optimization problem, and rely on pre-indexing workers and maintaining the indexes adaptively, in such a way that the task assignment process gets optimized both qualitatively, and computation time-wise. We present rigorous theoretical analyses of the optimization problem and propose optimal and approximation algorithms. We finally perform extensive performance and quality experiments using real and synthetic data to demonstrate that adaptive indexing in SmartCrowd is necessary to achieve efficient high quality task assignment.Comment: 12 page

Toward a unified PNT, Part 1: Complexity and context: Key challenges of multisensor positioning

The next generation of navigation and positioning systems must provide greater accuracy and reliability in a range of challenging environments to meet the needs of a variety of mission-critical applications. No single navigation technology is robust enough to meet these requirements on its own, so a multisensor solution is required. Known environmental features, such as signs, buildings, terrain height variation, and magnetic anomalies, may or may not be available for positioning. The system could be stationary, carried by a pedestrian, or on any type of land, sea, or air vehicle. Furthermore, for many applications, the environment and host behavior are subject to change. A multi-sensor solution is thus required. The expert knowledge problem is compounded by the fact that different modules in an integrated navigation system are often supplied by different organizations, who may be reluctant to share necessary design information if this is considered to be intellectual property that must be protected

How career variety promotes the adaptability of managers: a theoretical model

This paper presents a theoretical model showing how managerial adaptability develops from career variety over the span of the person’s career. By building on the literature of career theory, adult learning and development, and career adjustment, we oVer a new conceptualization of managerial adaptability by identifying its behavioral, cognitive, and socio-emotional dimensions, discuss how these competencies can develop from the variety of managers’ cumulative career experiences, and propose several individual and career-related factors that moderates the relationship between managerial career variety and adaptability

Run-time risk management in adaptive ICT systems

We will present results of the SERSCIS project related to risk management and mitigation strategies in adaptive multi-stakeholder ICT systems. The SERSCIS approach involves using semantic threat models to support automated design-time threat identification and mitigation analysis. The focus of this paper is the use of these models at run-time for automated threat detection and diagnosis. This is based on a combination of semantic reasoning and Bayesian inference applied to run-time system monitoring data. The resulting dynamic risk management approach is compared to a conventional ISO 27000 type approach, and validation test results presented from an Airport Collaborative Decision Making (A-CDM) scenario involving data exchange between multiple airport service providers

Expert systems and finite element structural analysis - a review

Finite element analysis of many engineering systems is practised more as an art than as a science . It involves high level expertise (analytical as well as heuristic) regarding problem modelling (e .g. problem specification,13; choosing the appropriate type of elements etc .), optical mesh design for achieving the specified accuracy (e .g . initial mesh selection, adaptive mesh refinement), selection of the appropriate type of analysis and solution13; routines and, finally, diagnosis of the finite element solutions . Very often such expertise is highly dispersed and is not available at a single place with a single expert. The design of an expert system, such that the necessary expertise is available to a novice to perform the same job even in the absence of trained experts, becomes an attractive proposition. 13; In this paper, the areas of finite element structural analysis which require experience and decision-making capabilities are explored . A simple expert system, with a feasible knowledge base for problem modelling, optimal mesh design, type of analysis and solution routines, and diagnosis, is outlined. Several efforts in these directions, reported in the open literature, are also reviewed in this paper

Opinion Leaders in Real Estate Markets

The purpose of this research paper is to examine the influence of opinion leaders in real estate markets. First, we provide a literature review of opinion leaders and real estate markets in India. Secondly, the variables that influence the opinion leaders are established and their measurement is well defined. Thirdly, a survey has been conducted by using a self-administered questionnaire, which was sent to 234 individuals who are responsible for handling real estate firms. The research model is empirically tested in a sample of 128 respondents by using a chi-square analysis. This study finds that opinion leaders in real estate markets possess significantly higher levels in exposure to media sources, social involvement, product knowledge, innovativeness, and computer usage than non-leaders. Opinion leaders also possess a higher degree of social networking and have used the internet more frequently for longer sessions than non-leaders. Finally, we identify the key implications, conclude the research finding and explore potential avenues for future research.Financial leverage; Asset valuation; Taxation

Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements