Experience and Educationis the best concise statement on education ever published by John Dewey, the man acknowledged to be the pre-eminent educational theorist of the twentieth century. Written more than two decades after Democracy and Education(Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received. Analysing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeped and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, on that offers a true learning situation that is both historical and social, both orderly and dynamic.

经验与教育 = Experience and education

This book provides an in-depth description of event-based systems, covering topics ranging from local event matching and distributed event forwarding algorithms, through a practical discussion of software engineering issues raised by the event-based style, to state-of-the-art research in event-based systems like composite event detection and security. The authors offer a comprehensive overview, and show the power of event-based architectures in modern system design, encouraging professionals to exploit this technique in next generation large-scale distributed applications like information dissemination, network monitoring, enterprise application integration, or mobile systems.

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Distributed event-based systems

Social media has been established in many larger emergencies and crises. This process has not started just a few years ago, but already 15 years ago in 2001 after the terrorist attacks of 9/11. In the following years, especially in the last 10, sometimes summarized under the term crisis informatics, a variety of studies focusing on the use of ICT and social media before, during or after nearly every crisis and emergency has arisen. This article aims to recapitulate 15 years of social media in emergencies and its research with a special emphasis on use patterns, role patterns and perception patterns that can be found across different cases in order to point out what has been achieved so far, and what future potentials exist.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-5973.12196

Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics

Social Networks in Urban Situations: Analyses of Personal Relationships in Central African Towns

Reinhardt, W., Schmidt, B., Sloep, P. B., & Drachsler, H. (2011). Knowledge Worker Roles and Actions - Results of Two Empirical Studies. Knowledge and Process Management, 18(3), 150–174. doi: 10.1002/kpm.378 Online: http://onlinelibrary.wiley.com/doi/10.1002/kpm.378/abstract

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Knowledge Worker Roles and Actions— Results of Two Empirical Studies

Social networks reflect communication, cooperation and loose acquaintances in networked communities. Numerous metrics allow to expose connections, important persons or clusters within these communities. Furthermore, networks can be spanned to connect documents, blog entries or wiki articles. We call such a network an artefact network. In this paper we introduce the approach of Artefact-Actor-Networks that tries to connect social networks and artefact networks in order to make claims on the semantical connections between persons and manifold artefacts. We present practical use cases for Artefact-Actor-Networks and discuss generic and specific semantical requirements and added values through the existence of Artefact-Actor-Networks.

Artefact-Actor-Networks as tie between social networks and artefact networks

People are using social media to a greater extent, particularly in emergency situations. However, approaches for processing and analyzing the vast quantities of data produced currently lag far behind. In this paper we discuss important steps, and the associated challenges, for processing and analyzing social media in emergencies. In our research project EmerGent, a huge volume of low-quality messages will be continuously gathered from a variety of social media services such as Facebook or Twitter. Our aim is to design a software system that will process and analyze social media data, transforming the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. Therefore, suitable techniques are needed to extract and condense key information from raw social media data, allowing detection of relevant events and generation of alerts pertinent to emergency personnel.

Strategy for processing and analyzing social media data streams in emergencies

The convergence of social networking and mobile media technology is shifting the way how people communicate and gain or share information. People are using social media to a greater extent, also in emergency situations. During disasters throughout the world, such as the 2010 Haiti earthquake, the 2013 European floods, or the terror attacks 2015 in Paris and 2016 in Brussels, this has been illustrated again. Often information about disasters even finds its way faster to social media than it reaches regular news companies and emergency services. However, approaches for processing and analyzing the vast quantities of data produced have even more potential. Yet many emergency services still have not found a way to put this potential to an effective use. Within our project EmerGent we are developing a system to process and analyse information from social media particularly tailored for the specific needs of emergency services. The aim is to transform the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. In the first part of this paper we present our approach from a user interface perspective. The second part deals with the evaluation of the approach and the derivation of future potentials of the approach.

Semi-Automatic Alerts and Notifications for Emergency Services based on Cross-Platform Social Media Data - Evaluation of a Prototype

In order to perform serious research on reliable data from emergency operations and trainings, technological support is essential. Therefore we present an architecture for distributed, event-driven systems for the collection and analysis of data in emergency operations and trainings. The logical as well as the technical architecture will be presented. Most important design decisions, e.g. regarding extensibility, will be described. The architecture has been implemented as a system, which is composed out of a core server and distributed sensors sending data. The system is running since two years in two big European cities.

An architecture for distributed, event-driven systems to collect and analyze data in emergency operations and training exercises

Social interaction between people has peerlessly changed with the availability of the Internet and the World Wide Web. The Internet brought new ways of communication technologies to live and enhanced people’s reachability, augmented possibilities for personal presence and the sharing of information objects. People are engaging in social networks in a steadily growing manner and share information objects within their communities. The high initial amount of data in such networks can serve as foundation of serious investigations towards social interactions of communities of learners. In this paper we introduce the technological foundation and architecture to model, obtain and store such user and object information in so-called Artefact-Actor-Networks. Artefact-Actor-Networks combine classical social networks with artefact networks that are constructed by the use of the information objects and their connections.

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Matthias Moi

Papers

Artefact-Actor-Networks as tie between social networks and artefact networks

Strategy for processing and analyzing social media data streams in emergencies

Semi-Automatic Alerts and Notifications for Emergency Services based on Cross-Platform Social Media Data - Evaluation of a Prototype

An architecture for distributed, event-driven systems to collect and analyze data in emergency operations and training exercises

Modeling, obtaining and storing data from social media tools with Artefact-Actor-Networks