By Alexandra Okada, Simon J. Buckingham Shum, Tony Sherborne

specializes in the method through which manually crafting interactive, hypertextual maps clarifies one’s personal knowing, communicates it to others, and permits collective intelligence. The authors see mapping software program as visible instruments for studying and writing in a networked age. In a data ocean, the problem is to discover significant styles round which we will be able to weave believable narratives. Maps of recommendations, discussions and arguments make the connections among principles tangible - and seriously, disputable. With 22 chapters from best researchers and practitioners (5 of them new for this edition), the reader will locate the present state of the art within the box. half 1 makes a speciality of wisdom maps for studying and educating in colleges and universities, earlier than half 2 turns to wisdom maps for info research and information administration in specialist groups, yet with many cross-cutting subject matters: · reflective practitioners documenting the simplest how you can map · conceptual frameworks for comparing representations · actual global case experiences exhibiting extra price for execs · extra experimental case stories from examine and schooling · visible languages, lots of which paintings on either paper and with software program · wisdom cartography software program, a lot of it freely on hand and open resource · stopover at the significant other web site for added assets: books.kmi.open.ac.uk/knowledge-cartography wisdom Cartography could be of curiosity to inexperienced persons, educators, and researchers in all disciplines, in addition to coverage analysts, situation planners, wisdom managers and group facilitators. Practitioners will locate new views and instruments to extend their repertoire, whereas researchers will locate wealthy adequate conceptual grounding for additional scholarship.

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Extra info for Knowledge Cartography: Software Tools and Mapping Techniques

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The forms of guidance included Belvedere’s graphical representations of evidential relations, and assessment rubrics. The Belvedere graphs relate data and hypothesis objects (represented by distinct shapes) with consistency and inconsistency relations (represented by links labeled “ + ” and “−”). The assessment rubrics were paper-based charts that included detailed criteria for progress in data collection, evaluation of information collected, quality of reports, and quality of peer presentations.

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