Legal crowdsourcing and relational law : what the semantic web can do for legal education

Crowdsourcing and Relational Law are interrelated concepts that can be successfully applied to the legal domain and, more specifically, to the field of legal education. 'Crowdsourcing' means 'participation of people (crowds)' and refers theoretically to the aggregated production of a common knowledge in a global data space. 'Relational law' refers to the regulatory link between Web 2.0 and 3.0, based on trust and dialogue, which emerges from the intertwining of top-down existing legal systems and bottom-up participation (the Web of People). Legal education today has a major role to play in the broad space opened up in terms of future potential of the Semantic Web. The following paper places a lens on the educational value of crowdsourcing and the relational approach to governance and law

Distributed Processes, Distributed Cognizers and Collaborative Cognition

Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing (“know-how”) This is called the Turing Test. It cannot test whether a process can generate feeling, hence thinking -- only whether it can generate doing. The processes that generate thinking and know-how are “distributed” within the heads of thinkers, but not across thinkers’ heads. Hence there is no such thing as distributed cognition, only collaborative cognition. Email and the Web have spawned a new form of collaborative cognition that draws upon individual brains’ real-time interactive potential in ways that were not possible in oral, written or print interactions

Distributed Processes, Distributed Cognizers and Collaborative Cognition

Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing (“know-how”) This is called the Turing Test. It cannot test whether a process can generate feeling, hence thinking -- only whether it can generate doing. The processes that generate thinking and know-how are “distributed” within the heads of thinkers, but not across thinkers’ heads. Hence there is no such thing as distributed cognition, only collaborative cognition. Email and the Web have spawned a new form of collaborative cognition that draws upon individual brains’ real-time interactive potential in ways that were not possible in oral, written or print interactions

Ask Them—They’ll Tell You! Eliciting Student Perspectives to Improve Services

Most people avoid doing qualitative research because they think it is not scientifically rigorous and requires time and lots of money. In fact, there is a lot one can do with little overhead that reaps immediate benefits for improving services and gaining unexpected valuable insights. This study uses a web redesign and assessment project to showcase some simple ways to get useful information from students. Library web pages provide the main access point to many of the library’s services and resources, which also continue to change and accrue. Does the web site really serve students\u27 research needs today? Where do you focus energy on needed improvements? How do you integrate new services? What resources do you need to do it? In this essay, discover how to use quick and inexpensive methods to grab student feedback in order to help revise and assess web pages and other services. Learn how to identify common issues for focused improvements. Gain insight on research deficiencies perhaps better addressed through teaching and other services. The researcher presents findings on several methods used to gain students\u27 perspectives before a major web page redesign and after “improvements” some months later

Why People Search for Images using Web Search Engines

What are the intents or goals behind human interactions with image search engines? Knowing why people search for images is of major concern to Web image search engines because user satisfaction may vary as intent varies. Previous analyses of image search behavior have mostly been query-based, focusing on what images people search for, rather than intent-based, that is, why people search for images. To date, there is no thorough investigation of how different image search intents affect users' search behavior. In this paper, we address the following questions: (1)Why do people search for images in text-based Web image search systems? (2)How does image search behavior change with user intent? (3)Can we predict user intent effectively from interactions during the early stages of a search session? To this end, we conduct both a lab-based user study and a commercial search log analysis. We show that user intents in image search can be grouped into three classes: Explore/Learn, Entertain, and Locate/Acquire. Our lab-based user study reveals different user behavior patterns under these three intents, such as first click time, query reformulation, dwell time and mouse movement on the result page. Based on user interaction features during the early stages of an image search session, that is, before mouse scroll, we develop an intent classifier that is able to achieve promising results for classifying intents into our three intent classes. Given that all features can be obtained online and unobtrusively, the predicted intents can provide guidance for choosing ranking methods immediately after scrolling

Visual literacy and visual communication for global education: innovations in teaching e-learning in art, design and communication

This paper presents the (student) proceedings of a successful inter-university co-operation between a research university and a university of applied sciences, in the field of Visual Literacy and Visual Communication. The origin lays in the international symposium “Digital Communities for Global Education” (Enschede NL, 2006) and the start was a web-based course in Informational Graphic Design. The ongoing development is an experimental master course in which students of both institutes work together. The participating professors are also involved in European Co-operative networks as well as Trans Atlantic- and Euro-Asian ones. Participating students are coming from all over the world so give the course a multi cultural character.\ud Research questions for the project are 1) what is the universal content of a message and 2) how can this message be encoded? 3) what factors do influence the interaction processes in networked education

Models of technology and change in higher education: an international comparative survey on the current and future use of ICT in higher education

The aim of this study is to investigate which scenarios are emerging with respect to the use of ICT in higher education and how future developments can be predicted and strategic choices can be based on that. It seeks to answer the following questions:\ud What strategic responses do institutions make with respect to the use of ICT; Which external conditions and developments influence these choices; Which external and internal conditions and measures are taken in order to achievestrategic targets; What are the implications for technology use, teaching and learning processes and staff? \ud The study applies an international comparative methodology and is carried out in the Netherlands, Germany, Norway, the United Kingdom, Australia, Finland and the USA. Data were collected through Web-based questionnaires tailored to three different response groups: decision makers, support staff and instructors. In total 693 persons responded to the questionnaire. This implies that between 20 and 50 percent of the institutions in the various countries responded (institutional data were also gathered), with the exception of the USA where the response was much lower

Discovery and Communication of Important Marketing Findings: Evidence and Proposals

My review of empirical research on scientific publication led to the following conclusions. Three criteria are useful for identifying whether findings are important: replication, validity, and usefulness. A fourth criterion, surprise, applies in some situations. Based on these criteria, important findings resulting from academic research in marketing seem to be rare. To a large extent, this rarity is due to a reward system that is built around subjective peer review. Rather than using peer review as a secret screening process, using an open process likely will improve papers and inform readers. Researchers, journals, business schools, funding agencies, and professional organizations can all contribute to improving the process. For example, researchers should do directed research on papers that contribute to principles. Journals should invite papers that contribute to principles. Business school administrators should reward researchers who make important findings. Funding agencies should base decisions on researchers' prior success in making important findings, and professional organizations should maintain web sites that describe what is known about principles and what research is needed on principles