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George Bradford

Data Visualization: Modern Approaches - Smashing Magazine | Smashing Magazine - 0 views

  • 2. Displaying News
  • Digg Stack 15: Digg stories arrange themselves as stack as users digg them. The more diggs a story gets, the larger is the stack.
  • Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools.
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  • an application that visually reflects the constantly changing landscape of the Google News news aggregator. The size of data blocks is defined by their popularity at the moment.
  • Digg stories arrange themselves as stack as users digg them. The more diggs a story gets, the larger is the stack.
  • a typographic book search, collects the information from Amazon and presents it in the form of keyword you’ve provided.
  • uses visual hills (spikes) to emphasize the density of American population in its map.
  • lets you explore the behavior of your visitors with a heat map. More popular sections, which are clicked more often, are highlighted as “warm” – in red color.
  • Eric Blue provides some references to unusual Data Visualization methods.
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    Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
George Bradford

50 most stunning examples of data visualization and infographics | Richworks - 0 views

  • The terms Data visualization and Infographics are used interchangeably, the former means the study of visual representation of data and the latter is its representation per se.
  • 42) Geological Time Spiral
  • 40) Map of online communities
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  • 44) Global distribution of water?
  • 43) 1 hour in front of the TV
  • 36) Evolution of Storage
  • 33) The Life of a web article
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    50 MOST STUNNING EXAMPLES OF DATA VISUALIZATION AND INFOGRAPHICS Posted by Richie on Thursday, April 15, 2010 "A picture is worth a thousand words", if I had a penny for every time I heard that!! There is so much data in the world today that it has become impossible for us to analyze them with patience. Data as we perceive it, need not be boring, bland and cumbersome to remember. To make complex things seem simple, is Creativity and using pictures to represent data has been an age old method to analyze data in a fun way. From navigating the web in an entirely new dimension to understanding how the human brain works; from peeking into how Google has evolved to analyzing the inner working of the geeky mind, Infographics has completely changed the way we view content and visualize data.
George Bradford

Eric Blue's Blog » Dataesthetics: The Power and Beauty of Data Visualization - 0 views

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    One of my areas of interest that has grown over the last couple years has been data visualization. I'm a visually-oriented learner, and I look forward to seeing any techniques, illustrations, or technologies that: 1) Allow people to assimilate information as fast as possible. 2) Deepen understanding of knowledge by visually illustrating data in new and interesting ways. There is nothing like having an intellectual epiphony after looking at a picture for a few seconds (pictures can definitely be worth a thousand words). 3) Present information in an aesthetically pleasing way. Or, in extreme examples, inspire a sense of awe!
George Bradford

Attention please! - 0 views

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    Attention please!: learning analytics for visualization and recommendation Full Text: PDF Author: Erik Duval Katholieke Universiteit Leuven, Leuven, Belgium This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.
George Bradford

Many Eyes - 0 views

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    Try yourself: Explore ::Visualizations :: Data sets :: Comments :: Topic centers Participate :: Create a visualization :: Upload a data set :: Create a topic center Learn more :: Quick start :: Visualization types :: About Many Eyes :: Privacy :: Blog
George Bradford

Stunning Infographics and Data Visualization - Noupe - 1 views

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    Creating an effective infographic requires both artistic sense and a clear vision of what to tell the audience. The following are some cool infographics we have collected. Some are colorful, some are simple, but all are informative and visually pleasing. Not only do they provide information in a format that is easy to understand, but they are also artistic creations in their own right.
George Bradford

Many Eyes : Browsing visualizations - 0 views

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    Listing visualizations of data. IBM Research and the IBM Cognos experiment.
George Bradford

Features | Gephi, open source graph visualization software - 0 views

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    Features Gephi is a tool for people that have to explore and understand graphs. Like Photoshop but for data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden properties. The goal is to help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. It is a complementary tool to traditional statistics, as visual thinking with interactive interfaces is now recognized to facilitate reasoning. This is a software for Exploratory Data Analysis, a paradigm appeared in the Visual Analytics field of research.
George Bradford

Cohere >>> make the connection - 0 views

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    About Cohere The Web is about IDEAS+PEOPLE. Cohere is a visual tool to create, connect and share Ideas. Back them up with websites. Support or challenge them. Embed them to spread virally. Discover who - literally - connects with your thinking. Publish ideas and optionally add relevant websites Weave webs of meaningful connections between ideas: your own and the world's Discover new ideas and people We experience the information ocean as streams of media fragments, flowing past us in every modality. To make sense of these, learners, researchers and analysts must organise them into coherent patterns. Cohere is an idea management tool for you to annotate URLs with ideas, and weave meaningful connections between ideas for personal, team or social use. Key Features Annotate a URL with any number of Ideas, or vice-versa. Visualize your network as it grows Make connections between your Ideas, or Ideas that anyone else has made public or shared with you via a common Group Use Groups to organise your Ideas and Connections by project, and to manage access-rights Import your data as RSS feeds (eg. bookmarks or blog posts), to convert them to Ideas, ready for connecting Use the RESTful API services to query, edit and mashup data from other tools Learn More Subscribe to our Blog to track developments as they happen. Read this article to learn more about the design of Cohere to support dialogue and debate.
George Bradford

About | SNAPP - Social Networks Adapting Pedagogical Practice - 3 views

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    "The Social Networks Adapting Pedagogical Practice (SNAPP) tool performs real-time social network analysis and visualization of discussion forum activity within popular commercial and open source Learning Management Systems (LMS). SNAPP essentially serves as a diagnostic instrument, allowing teaching staff to evaluate student behavioral patterns against learning activity design objectives and intervene as required a timely manner. Valuable interaction data is stored within a discussion forum but from the default threaded display of messages it is difficult to determine the level and direction of activity between participants. SNAPP infers relationship ties from the post-reply data and renders a social network diagram below the forum thread. The social network visualization can be filtered based upon user activity and social network data can be exported for further analysis in NetDraw. SNAPP integrates seamlessly with a variety of Learning Management Systems (Blackboard, Moodle and Desire2Learn) and must be triggered while a forum thread is displayed in a Web browser."
George Bradford

Threadz - License - 0 views

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    "Built as a Learning Tools Interoperability (LTI) integration for the learning management system Canvas, Threadz is a discussion visualization tool that adds graphs and statistics to online discussions. Online discussions provide valuable information about the dynamics of a course and its constituents. Much of this information is found within the content of the posts, but other elements are hidden within the social network connection and interactions between students and between students and instructors. Threadz is a tool that extracts this hidden information and puts it on display. The visual representations created from social network connections and interactions between students and instructors in a discussion assist in identifying specific behaviors and characteristics within the course, such as: learner isolation, non-integrated groups, instructor-centric discussions, and key integration (power) users and groups. By identifying these behaviors and characteristics, the instructor can affect change in these interactions to help make the discussions and classroom discourse more accessible to all."
George Bradford

Information graphics - Wikipedia, the free encyclopedia - 0 views

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    Information graphics or infographics are graphic visual representations of information, data or knowledge. These graphics present complex information quickly and clearly,[1] such as in signs, maps, journalism, technical writing, and education. With an information graphic, computer scientists, mathematicians, and statisticians develop and communicate concepts using a single symbol to process information.
George Bradford

Browse Maps - Places & Spaces: Mapping Science - 0 views

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    Data Visualizations - Organized by KATY BÖRNER
George Bradford

Open Research Online - Learning dispositions and transferable competencies: pedagogy, m... - 0 views

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    Theoretical and empirical evidence in the learning sciences substantiates the view that deep engagement in learning is a function of a complex combination of learners' identities, dispositions, values, attitudes and skills. When these are fragile, learners struggle to achieve their potential in conventional assessments, and critically, are not prepared for the novelty and complexity of the challenges they will meet in the workplace, and the many other spheres of life which require personal qualities such as resilience, critical thinking and collaboration skills. To date, the learning analytics research and development communities have not addressed how these complex concepts can be modelled and analysed, and how more traditional social science data analysis can support and be enhanced by learning analytics. We report progress in the design and implementation of learning analytics based on a research validated multidimensional construct termed "learning power". We describe, for the first time, a learning analytics infrastructure for gathering data at scale, managing stakeholder permissions, the range of analytics that it supports from real time summaries to exploratory research, and a particular visual analytic which has been shown to have demonstrable impact on learners. We conclude by summarising the ongoing research and development programme and identifying the challenges of integrating traditional social science research, with learning analytics and modelling.
George Bradford

Learning Dispositions and Transferable Competencies: Pedagogy, Modelling, and Learning ... - 0 views

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    Simon Buckingham Shum Ruth Deakin Crick 2012 (In review) Theoretical and empirical evidence in the learning sciences  substantiates the view that deep engagement in learning is a  function of a  combination of learners' dispositions,  values,  attitudes and skills. When these are fragile, learners struggle to  achieve their potential in conventional assessments, and critically,  are not prepared for the novelty and complexity of the challenges  they will meet in the workplace, and the many other spheres of  life which require personal qualities such as resilience, critical  thinking and collaboration skills. To date, the learning analytics  research and development communities have not addressed how  these complex concepts can be modelled and analysed. We report  progress in the design and implementation of learning analytics  based on an empirically validated  multidimensional construct  termed  "learning power". We describe a  learning analytics  infrastructure  for gathering data at scale, managing stakeholder  permissions, the range of analytics that it supports from real time  summaries to exploratory research, and a particular visual analytic which has been shown to have demonstrable impact on learners.  We conclude by  summarising the ongoing research and  development programme.
George Bradford

Where everyone in the world is migrating-in one gorgeous chart - Quartz - 1 views

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    "Where everyone in the world is migrating-in one gorgeous chart By Nick Stockton @StocktonSays March 28, 2014"
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(7) Eli 2012 Sensemaking Analytics - 0 views

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    George Siemens's PPT at ELI focus group
George Bradford

Open Research Online - Contested Collective Intelligence: rationale, technologies, and ... - 0 views

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    We propose the concept of Contested Collective Intelligence (CCI) as a distinctive subset of the broader Collective Intelligence design space. CCI is relevant to the many organizational contexts in which it is important to work with contested knowledge, for instance, due to different intellectual traditions, competing organizational objectives, information overload or ambiguous environmental signals. The CCI challenge is to design sociotechnical infrastructures to augment such organizational capability. Since documents are often the starting points for contested discourse, and discourse markers provide a powerful cue to the presence of claims, contrasting ideas and argumentation, discourse and rhetoric provide an annotation focus in our approach to CCI. Research in sensemaking, computer-supported discourse and rhetorical text analysis motivate a conceptual framework for the combined human and machine annotation of texts with this specific focus. This conception is explored through two tools: a social-semantic web application for human annotation and knowledge mapping (Cohere), plus the discourse analysis component in a textual analysis software tool (Xerox Incremental Parser: XIP). As a step towards an integrated platform, we report a case study in which a document corpus underwent independent human and machine analysis, providing quantitative and qualitative insight into their respective contributions. A promising finding is that significant contributions were signalled by authors via explicit rhetorical moves, which both human analysts and XIP could readily identify. Since working with contested knowledge is at the heart of CCI, the evidence that automatic detection of contrasting ideas in texts is possible through rhetorical discourse analysis is progress towards the effective use of automatic discourse analysis in the CCI framework.
George Bradford

[!!!] Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review) | EDUC... - 0 views

  • Continued growth in the amount of data creates an environment in which new or novel approaches are required to understand the patterns of value that exist within the data.
  • learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.
  • Academic analytics, in contrast, is the application of business intelligence in education and emphasizes analytics at institutional, regional, and international levels.
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  • Course-level:
  • Educational data-mining
  • Intelligent curriculum
  • Adaptive content
  • the University of Maryland, Baltimore County (UMBC) Check My Activity tool, allows learners to “compare their own activity . . . against an anonymous summary of their course peers.
  • Mobile devices
  • social media monitoring tools (e.g., Radian6)
  • Analytics in education must be transformative, altering existing teaching, learning, and assessment processes, academic work, and administration.
    • George Bradford
       
      See Bradford - Brief vision of the semantic web as being used to support future learning: http://heybradfords.com/moonlight/research-resources/SemWeb_EducatorsVision 
    • George Bradford
       
      See Peter Goodyear's work on the Ecology of Sustainable e-Learning in Education.
  • How “real time” should analytics be in classroom settings?
  • Adaptive learning
  • EDUCAUSE Review, vol. 46, no. 5 (September/October 2011)
  • Penetrating the Fog: Analytics in Learning and Education
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    Attempts to imagine the future of education often emphasize new technologies-ubiquitous computing devices, flexible classroom designs, and innovative visual displays. But the most dramatic factor shaping the future of higher education is something that we can't actually touch or see: big data and analytics. Basing decisions on data and evidence seems stunningly obvious, and indeed, research indicates that data-driven decision-making improves organizational output and productivity.1 For many leaders in higher education, however, experience and "gut instinct" have a stronger pull.
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