Verkkokurssilla : Opiskelijoiden kokemuksia toiminnasta yhteisöllisessä oppimisprosessissa Fle2-ympäristössä ja kokemusten näkyminen toimintaan osallistumisessa

The study examines one case of students' experiences from the activity in a collaborative learning process in a networked learning environment, and explores whether or not the experiences explain the participation or lack of participation in the activities. As a research task the students' experiences in the database of the networked learning environment, participating in its construction, and the ways of working needed to build the database, were examined. To contrast the students' experiences, their actual participation in the building of the database was clarified. Based on actual participation, groups more active and more passive than average were separated, and their experiences were compared to each other. The research material was collected from the course Cognitive and Creative Processes, which was offered to studentsof the Department of Textile Teacher Education in University of Helsinki, and students of the Departments of Teacher Education Units giving textile education in Turku, Rauma and Savonlinna in the beginning of 2001. In this course, creativity was examined from a psychological and sosiocultural context with the aim of realizing a collaborative progressive inquiry process. The course was held in a network-based Future Learning Environment (Fle 2) except for the starting lecture and training the use of the learning environment. This study analyzed the learning diaries that the students had sent to the tutor once a week for four weeks, and the final thoughts written into the database of the learning environment. Content analysis was applied as the research method. The case was enriched from another point of view by examining the messages the students had written into the learning environment with the social network analysis. The theoretical base of the study looks at the research of computer-supported collaborative learning, the conceptions of learning as a process of participation and knowledge building, and the possibilities and limitations of network-based learning environments. The research results show, that both using the network-based learning environment and collaborative ways of studying were new to the students. The students were positively surprised by the feedback and support provided by the community. On the other hand, they also experienced problems with facelessness and managing the information in the learning environment. The active students seemed to be more ready for a progressive inquiry process. It can be seen from their attitudes and actions that they have strived to participate actively and invested into the process both from their own and the community's point of view. The more passive students reported their actions to get credits and they had a harder time of perceiving the thoughts presented in the net as common progression. When arranging similar courses in the future, attention should be paid to how to get the students to act in ways necessary for knowledge building, and different from more traditional ways of studying. The difficulties of students used to traditional studying methods to adapt to collaborative knowledge building were evident on the course Cognitive and Creative Processes. Keywords: computer supported collaborative learning, knowledge building, progressive Inquiry, participation

Publishing in the Networked World: Transforming the Nature of Communication, 14th International Conference on Electronic Publishing 16-18 June 2010, Helsinki, Finland

The title of the 14th International Conference on Electronic Publishing (ELPUB), “Publishing in the networked world: Transforming the nature of communication”, is a timely one. Scholarly communication and scientific publishing has recently been undergoing subtle changes. Published papers are no longer fixed physical objects, as they once were. The “convergence” of information, communication, publishing and web technologies along with the emergence of Web 2.0 and social networks has completely transformed scholarly communication and scientific papers turned to living and changing entities in the online world. The themes (electronic publishing and social networks; scholarly publishing models; and technological convergence) selected for the conference are meant to address the issues involved in this transformation process. We are pleased to present the proceedings book with more than 30 papers and short communications addressing these issues. What you hold in your hands is a by-product and the culmination of almost a Year long work of many people including conference organizers, authors, reviewers, editors and print and online publishers. The ELPUB 2010 conference was organized and hosted by the Hanken School of Economics in Helsinki, Finland. Professors Turid Hedlund of Hanken School of Economics and Yaşar Tonta of Hacettepe University Department of Information Management (Ankara, Turkey) served as General Chair and Program Chair, respectively. We received more than 50 submissions from several countries. All submissions were peer-reviewed by members of an international Program Committee whose contributions proved most valuable and appreciated. The 14th ELPUB conference carries on the tradition of previous conferences held in the United Kingdom (1997 and 2001), Hungary (1998), Sweden (1999), Russia (2000), the Czech Republic (2002), Portugal (2003), Brazil (2004), Belgium (2005), Bulgaria (2006), Austria (2007), Canada (2008) and Italy (2009). The ELPUB Digital Library, http://elpub.scix.net serves as archive for the papers presented at the ELPUB conferences through the years. The 15th ELPUB conference will be organized by the Department of Information Management of Hacettepe University and will take place in Ankara, Turkey, from 14-16 June 2011. (Details can be found at the ELPUB web site as the conference date nears by.) We thank Marcus Sandberg and Hannu Sääskilahti for copyediting, Library Director Tua Hindersson – Söderholm for accepting to publish the online as well as the print version of the proceedings. Thanks also to Patrik Welling for maintaining the conference web site and Tanja Dahlgren for administrative support. We warmly acknowledge the support in organizing the conference to colleagues at Hanken School of Economics and our sponsors.

Vision based indoor positioning in a retail environment

Modern smart phones often come with a significant amount of computational power and an integrated digital camera making them an ideal platform for intelligents assistants. This work is restricted to retail environments, where users could be provided with for example navigational in- structions to desired products or information about special offers within their close proximity. This kind of applications usually require information about the user's current location in the domain environment, which in our case corresponds to a retail store. We propose a vision based positioning approach that recognizes products the user's mobile phone's camera is currently pointing at. The products are related to locations within the store, which enables us to locate the user by pointing the mobile phone's camera to a group of products. The first step of our method is to extract meaningful features from digital images. We use the Scale- Invariant Feature Transform SIFT algorithm, which extracts features that are highly distinctive in the sense that they can be correctly matched against a large database of features from many images. We collect a comprehensive set of images from all meaningful locations within our domain and extract the SIFT features from each of these images. As the SIFT features are of high dimensionality and thus comparing individual features is infeasible, we apply the Bags of Keypoints method which creates a generic representation, visual category, from all features extracted from images taken from a specific location. A category for an unseen image can be deduced by extracting the corresponding SIFT features and by choosing the category that best fits the extracted features. We have applied the proposed method within a Finnish supermarket. We consider grocery shelves as categories which is a sufficient level of accuracy to help users navigate or to provide useful information about nearby products. We achieve a 40% accuracy which is quite low for commercial applications while significantly outperforming the random guess baseline. Our results suggest that the accuracy of the classification could be increased with a deeper analysis on the domain and by combining existing positioning methods with ours.