OCTANT: Digital platform for interdisciplinary and collaborative learning and research

OCTANT is designed to become an online digital platform integrating both pedagogical and research features combining open and restricted accesses. It will initially focus on the humanities and social sciences, but aims to make itself available to the whole academic community. OCTANT will open up new virtual spaces of learning that juxtapose time and space graphically through the interactive association of timelines and maps. It will also allow for the visualization of text areas and of a diversity of links to bibliographies, websites, Moodle pages, open archives, scientific newsfeeds. This online pedagogical space is intended to encourage successful learning strategies, student autonomy, critical thinking, and collaborative learning. With its focus on interdisciplinary research, it encourages students to open their perspectives and to conceive of original research objects through the organization and analysis of personalized databases

Fostering Open Sensemaking Communities by Combining Knowledge Maps and Videoconferencing

In this paper, our aim is to investigate the role of Compendium maps for both learners and educators to share and debate interpretations in FlashMeetingTM (FM) videoconferences in the context of OpenLearn, an online environment for open learning. This work is based on a qualitative study of knowledge maps and web videoconferencing interactions, and quantitative data presented in diagnostic reports about both tools. Our theoretical approach is based on the sensemaking concept and an existing framework for three learning scenarios. Our findings describe four applications of knowledge maps in videoconferencing: (i) Mind Maps for a FM virtual lecture (transmission scenario); (ii) Learning Path Map which integrates a FM conference (studio scenario); (iii) Concept Maps during a peer-to-peer event (negotiation scenario) and (iv) Web Maps for a FM replay (assessment scenario)

Interactive tag maps and tag clouds for the multiscale exploration of large spatio-temporal datasets

'Tag clouds' and 'tag maps' are introduced to represent geographically referenced text. In combination, these aspatial and spatial views are used to explore a large structured spatio-temporal data set by providing overviews and filtering by text and geography. Prototypes are implemented using freely available technologies including Google Earth and Yahoo! 's Tag Map applet. The interactive tag map and tag cloud techniques and the rapid prototyping method used are informally evaluated through successes and limitations encountered. Preliminary evaluation suggests that the techniques may be useful for generating insights when visualizing large data sets containing geo-referenced text strings. The rapid prototyping approach enabled the technique to be developed and evaluated, leading to geovisualization through which a number of ideas were generated. Limitations of this approach are reflected upon. Tag placement, generalisation and prominence at different scales are issues which have come to light in this study that warrant further work

Google Maps to collect spatial responses in a survey environment

This paper examines the use of Google Maps-based tools to collect spatial responses from participants during academic research surveys conducted via the Internet. Using two recent examples from the University of East Anglia it discusses the online survey context and how Google Maps was used, issues surrounding the technical implementation of these tools, processing and use of the collected data, and concludes with considerations for future research that might employ similar methods

User preferences on route instruction types for mobile indoor route guidance

Adaptive mobile wayfinding systems are being developed to ease wayfinding in the indoor environment. They present wayfinding information to the user, which is adapted to the context. Wayfinding information can be communicated by using different types of route instructions, such as text, photos, videos, symbols or a combination thereof. The need for a different type of route instruction may vary at decision points, for example because of its complexity. Furthermore, these needs may be different for different user characteristics (e.g., age, gender, level of education). To determine this need for information, an online survey has been executed where participants rated 10 different route instruction types at several decision points in a case study building. Results show that the types with additional text were preferred over those without text. The photo instructions, combined with text, generally received the highest ratings, especially from first-time visitors. 3D simulations were appreciated at complex decision points and by younger people. When text (with symbols) is considered as a route instruction type, it is best used for the start or end instruction

Merging Special Collections with GIS Technology to Enhance the User Experience

This analysis evaluates how PhillyHistory.org merged their unique special collection materials with geospatial-based progressive technology to challenge and educate the global community. A new generation of technologically savvy researchers has emerged that expect a more enhanced user experience than earlier generations. To meet these needs, collection managers are collaborating with community and local institutions to increase online access to materials; mixing best metadata practices with custom elements to create map mashups; and merging progressive GIS technology and geospatial based applications with their collections to enhance the user experience. The PhillyHistory.org website was analyzed to explore how they used various geospatial technology to create a new type of digital content management system based on geographical information and make their collections accessible via online software and mobile applications