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M&L 2012 - Scientific Imagery in Higher Education - by Ruth Kerr, Ilaria Merciai


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M&L 2012 - Scientific Imagery in Higher Education - by Ruth Kerr, Ilaria Merciai

  1. 1. Scientific Imagery in Higher Education Ruth Kerr & Ilaria Merciai Campus Virtuale - Federica Web Learning Università di Napoli Federico II Media & Learning Conference 2012 Flemish Ministry of Education Headquarters Bruxelles, November 15, 2012 P.O. FESR 2007-2013 Asse V, O.O. 5.1 e-government ed e-inclusion - Progetto: Campus Virtuale
  2. 2. Images engageVisuals can arousepeople’s interest,curiosity and motivation(Richard Mayer, 2001)Memory and recallfor visuals tends to ck /Shutterstobe better thanmemory and recall ggsphotofor words re Source: g(Clark and Lyons, 2004)
  3. 3. Images inform Coffee Drinks IllustratedSource:
  4. 4. Images in educationTheory of Learning = “The child iscontinually interacting with theworld around him/her solvingproblems that are presented bythe environment”(Jean Piaget)“To understand is to discover”(Jean Piaget)Constructivism = “a combination of Source: David Castillo Dominici/Shutterstockphilosophy, psychology andcybernetics”(E. von Glasersfeld)
  5. 5. Digital convergence Media Technology Working to produce creative, stimulating, elastic and appealing Source: Max Griboedov/Shutterstock learning content. Langer’s Mindful Learning (1997)
  6. 6. Imagery as a bridge Printed Word Digital Literacy Source: Michael D Brown/Shutterstock
  7. 7. Digital imagery in instructionaldesign ? Instructional design
  8. 8. Classification of imagesSeveral researchers haveclassified the instructionalfunctions of visuals intotaxonomies or categories.(Alesandrini, 1984; Clark & Lyons, 2004; Levin,1981; Levie and Lentz, 1982; Rieber, 1994) Source: Dima Groshev/Shutterstock
  9. 9. Lyons and Clark’s classification ofvisuals Clark, Lyons 2004
  10. 10. User interfaceUse of graphics to create an appealinginterface is not decorative – it serves tomake machine more human and toencourage interaction between computers,people and culture. - University of NottinghamFederica - University of Naples Federico II Source: Tanewpix/ShutterstockGoogle Drive:
  11. 11. Different types ofgraphics/images Clark and Lyons ClassificationStatic Art Illustration Photographic Line drawnings Graphs and diagramsDynamic AnimationArt Video Virtual Reality
  12. 12. Microscopephoto Nikon Small Words Nasa Images
  13. 13. Satellite photo Nasa Images
  14. 14. Infographics Green Report Green Report, IL - Il maschile del Sole 24 ORE - an easy tool to create infographics
  15. 15. Interactive mindmaps Text2mindmap: an easy tool to create mindmaps
  16. 16. Learning Analytics Source:
  17. 17. Source: GIS Technology
  18. 18. Video Lectures
  19. 19. 3D Imagery Source:
  20. 20. Extemporaneous drawnings
  21. 21. Edcanvas
  22. 22. Taxonomy continued A Taxonomy of the Image: On the Classification of Content for Image Retrieval Bryan Burford, Pam Briggs, John P.Eakins Institute for Image Data Research, University of NorthumbriaImage database (IDB) systems are at present often designed to test technology and the efficacy of retrieval algorithms, rather than being oriented towards delivering functionality to users.
  23. 23. From the Internet to Weblearning Source: Bruce Rolff/Shutterstock Huge bedrock of visuals availableQuality & credentialing How to tap into it Copyright
  24. 24. Image Library on Federica WebLearning
  25. 25. Main selection criteria: copyrightlaw CC images (Creative Commons): images can be used for educational purposes but not commercially FR images (Free Royalty): these images have to be paid for but, once acquired, can be used however the purchaser wants with no time restriction RM images (Rights Management): publishing rights are decided by the owner.
  26. 26. Archive providers The archives that have beenincluded and reviewed fall into three distinct categories: Amateur archives (eg. Flickr);Institutional archives (eg. Plos);Commercial archives (eg. Gettyimages).
  27. 27. Using the Image Library
  28. 28. Example: 3D imagery use
  29. 29. Example: graphs use
  30. 30. Example: The Ruins ofPaestum
  31. 31. Image Library numbers From the enormous wealth of photo archives available on the net we have chosen 99 that we consider valid forinclusion in the Image Library.
  32. 32. What’s Next?Images in the instagram era
  33. 33. From homo sapiens to student videns Homo Videns Giovanni Sartori,Bari, Laterza, 2000 Source: njaj/Shutterstock
  34. 34. We need to become a nation or nations of netcontributors rather than net plunderers (Chris Anderson)more open, more learning…
  35. 35. Thanks!Ruth Kerr & Ilaria Merciai