Computer Mediated Communications and Communities of Practice

Within the Knowledge Management context, there is growing interest in computer support for group knowledge sharing and the role that Communities of Practice play in this. Communities of Practice are groups of individuals with a common purpose and who share some background, language or experience. The community is regenerated as newcomers join the group and old-timers leave. The newcomers have access to the old- timers and learn from them. This generally takes place through situated learning. New group knowledge is also created as members of the community have a problem to solve and swap experiences and anecdotes to solve the problem, possibly arriving at a novel solution. This may then be further shared through anecdotes so that it eventually becomes part of the group's store of collective knowledge. Communities of Practice provide an excellent forum for knowledge sharing and a vital question is whether the new communications media, which provide new possibilities for collaboration and distributed working, could support the existence of such groups in a distributed environment. This question takes on an added relevance with the rapid internationalization of business that can spread the distribution over national boundaries posing problems of cultural and temporal as well as physical distance. This paper reports on a case study which was the first stage in exploring whether Computer Mediated Communications technologies (CMCs) can support distributed international Communities of Practice. The aim of the case study was to explore the possible existence of Communities of Practice in an international organization, to identify such groups and to ascertain the media used.Computer Mediated Communications technologies, CMC, Communities of Practice, CoP, Knowledge Management, KM

Knowledge Management and Information Systems based on Workflow Technology

Knowledge management is critical for the success of virtual communities, especially in the case of distributed working groups. A representative example of this scenario is the distributed software development, where it is necessary an optimal coordination to avoid common problems such as duplicated work. In this paper the feasibility of using the workflow technology as a knowledge management system is discussed, and a practical use case is presented. This use case is an information system that has been deployed within a banking environment. It combines common workflow technology with a new conception of the interaction among participants through the extension of existing definition languages

Product Models in Network Based Co-operation in Structural Engineering

The Priority Programme ‘Network Based Co-operation in Structural Engineering’ of the ‘German Research Foundation’ (DFG) has been established in the year 2000. This paper describes and discusses the main research directions and first results of the workgroup ‘Distributed Product Models’. The five projects of the workgroup have developed completely different solutions for specific application domains. Each solution concept deals with a consistent product modeling and knowledge processing in a distributed environment in the planning process. The individual solution approaches of the projects are described and the underlying basic assumptions are discussed. A unified system architecture is described for all projects of the workgroup. Two different approaches (object-oriented and graph-based models) have been introduced for product and knowledge modeling. The common structure of these models will be explained to fully understand the differences of these modeling approaches. Finally the concepts for co-operative work and conflict management in a distributed environment are described: The solution approaches will be distinguished by classifying the supported co-operation according to time. A final scientific summary describes the state-of-the-art in network based co-operation in structural engineering: The role of research directions like knowledge modeling, standard product modeling and versioning in the distributed planning process will be explained

Extracting Information from Qubit-Environment Correlations

Most works on open quantum systems generally focus on the reduced physical system by tracing out the environment degrees of freedom. Here we show that the qubit distributions with the environment are essential for a thorough analysis, and demonstrate that the way that quantum correlations are distributed in a quantum register is constrained by the way in which each subsystem gets correlated with the environment. For a two-qubit system coupled to a common dissipative environment $\mathcal{E}$, we show how to optimise interqubit correlations and entanglement via a quantification of the qubit-environment information flow, in a process that, perhaps surprisingly, does not rely on the knowledge of the state of the environment. To illustrate our findings, we consider an optically-driven bipartite interacting qubit $AB$ system under the action of $\mathcal{E}$. By tailoring the light-matter interaction, a relationship between the qubits early stage disentanglement and the qubit-environment entanglement distribution is found. We also show that, under suitable initial conditions, the qubits energy asymmetry allows the identification of physical scenarios whereby qubit-qubit entanglement minima coincide with the extrema of the $A\mathcal{E}$ and $B\mathcal{E}$ entanglement oscillations.Comment: 4 figures, 9 page

Active Perception by Interaction with Other Agents in a Predictive Coding Framework: Application to Internet of Things Environment

Predicting the state of an agent\u27s partially-observable environment is a problem of interest in many domains. Typically in the real world, the environment consists of multiple agents, not necessarily working towards a common goal. Though the goal and sensory observation for each agent is unique, one agent might have acquired some knowledge that may benefit the other. In essence, the knowledge base regarding the environment is distributed among the agents. An agent can sample this distributed knowledge base by communicating with other agents. Since an agent is not storing the entire knowledge base, its model can be small and its inference can be efficient and fault-tolerant. However, the agent needs to learn -- when, with whom and what -- to communicate (in general interact) under different situations.This dissertation presents an agent model that actively and selectively communicates with other agents to predict the state of its environment efficiently. Communication is a challenge when the internal models of other agents is unknown and unobservable. The proposed agent learns communication policies as mappings from its belief state to when, with whom and what to communicate. The policies are learned using predictive coding in an online manner, without any reinforcement. The proposed agent model is evaluated on widely-studied applications, such as human activity recognition from multimodal, multisource and heterogeneous sensor data, and transferring knowledge across sensor networks. In the applications, either each sensor or each sensor network is assumed to be monitored by an agent. The recognition accuracy on benchmark datasets is comparable to the state-of-the-art, even though our model has significantly fewer parameters and infers the state in a localized manner. The learned policy reduces number of communications. The agent is tolerant to communication failures and can recognize the reliability of each agent from its communication messages. To the best of our knowledge, this is the first work on learning communication policies by an agent for predicting the state of its environment

An analysis of the learning outcomes of the 2018 geography curriculum for 9th and 10th grades according to Webb’s depth of knowledge

There are many taxonomies in education related to the cognitive learning domain. This study aimed to analyze the learning outcomes in the 9th and 10th grade 2018 geography curriculum according to Webb's depth of knowledge. Document analysis was used in the study. The geography curriculum was analyzed by considering the four levels of Webb’s depth of knowledge and the scope of the acts and learning outcomes identified for social sciences. In this context, the levels of 56 learning outcomes in the 2018 geography curriculum were analyzed by grade and unit. It was found that the learning outcomes in Webb's depth of knowledge were not distributed evenly across grades, units and levels. Half of the 9th and 10th grade outcomes were at Level 2, while the other half were distributed between Level 1 and Level 3. At Level 4, there was only one outcome in Grade 9. Level 2 was predominant in the learning outcomes of the Natural Systems unit in Grade 9 and of the Human Systems unit in Grade 10. Tasks with a high level of complexity were more common in Grade 10. "The Environment and Society" and "The Global Environment: Regions and Countries" units did not have learning outcomes at all levels. The characteristics of the course content were effective in determining the level of the learning outcomes. For a holistic evaluation of the 2018 geography curriculum in terms of Webb's Depth of Knowledge, it is recommended to examine how the 11th and 12th-grade outcomes were distributed

Parental Awareness and Lead Poisoning: a Suburban Analysis

Lead poisoning is one of the most common pediatric health problems in the United States. A direct result of industrialization, the toxic substance lead has contaminated our environment. Parents of young children should be aware of the hazards of lead, the environmental sources, the need for annual screening. the implications of screening results. and steps to reduce the chances of exposure. Questionnaires were distributed at a pediatrician\u27s office. Parents with children under six years of age were asked to complete the survey. Sixty-two questionnaires were completed and returned. It was determined that parents have a good understanding of the pathways for exposure and general knowledge about lead, but their knowledge was minimal about less common lead hazards, prevention and the role of nutrition in helping to prevent lead poisoning