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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
Images engage

Visuals can arouse
people’s interest,
curiosity and motivation
(Richard Mayer, 2001)



Memory and recall
for visuals tends to




                                                 ck
                                      /Shuttersto
be better than
memory and recall




                              ggsphoto
for words




                                    re
                           Source: g
(Clark and Lyons, 2004)
Images inform
                                                 Coffee Drinks Illustrated




Source: http://lokeshdhakar.com/coffee-drinks-illustrated/
Images in education

Theory of Learning = “The child is
continually interacting with the
world around him/her solving
problems that are presented by
the environment”
(Jean Piaget)

“To understand is to discover”
(Jean Piaget)

Constructivism = “a combination of   Source: David Castillo Dominici/Shutterstock
philosophy, psychology and
cybernetics”
(E. von Glasersfeld)
Digital convergence


 Media Technology

  Working to produce
 creative, stimulating,
 elastic and appealing




                                       Source: Max Griboedov/Shutterstock
    learning content.
    Langer’s Mindful Learning (1997)
Imagery as a bridge




   Printed Word                               Digital Literacy
                  Source: Michael D Brown/Shutterstock
Digital imagery in instructional
design


                         ?
                    Instructional
                       design
Classification of images


Several researchers have
classified the instructional
functions of visuals into
taxonomies or categories.

(Alesandrini, 1984; Clark & Lyons, 2004; Levin,
1981; Levie and Lentz, 1982; Rieber, 1994)




                                                  Source: Dima Groshev/Shutterstock
Lyons and Clark’s classification of
visuals




                               Clark, Lyons 2004
User interface

Use of graphics to create an appealing
interface is not decorative – it serves to
make machine more human and to
encourage interaction between computers,
people and culture.

http://www.webdesignerdepot.com/2009/03/operating-system-
interface-design-between-1981-2009/


Xerte - University of Nottingham
Federica - University of Naples Federico II


                                                            Source: Tanewpix/Shutterstock

Google Drive:
http://www.google.com/intl/it/drive/start/apps.html#drawi
ngs
Different types of
graphics/images

     Clark and Lyons Classification
Static Art     Illustration
               Photographic
               Line drawnings
               Graphs and diagrams
Dynamic        Animation
Art
               Video
               Virtual Reality
Microscope
photo




             Nikon Small Words
                                 Nasa Images
Satellite photo




                  Nasa Images
Infographics




                  Green Report




                                    Green Report, IL - Il maschile del Sole 24 ORE


     Infogr.am - an easy tool to create infographics
Interactive mindmaps




    Text2mindmap: an easy tool to create mindmaps
Learning Analytics




                     Source: https://it.uoregon.edu/node/2805
Source:http://www.colorado.edu   GIS Technology
Video Lectures
3D Imagery




             Source: http://www.pymol.org/
Extemporaneous drawnings
Edcanvas




           http://www.edcanvas.com/lessons/RGwAsKtUU_2mXA
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 Northumbria




Image 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.
From the Internet to Weblearning




                                                           Source: Bruce Rolff/Shutterstock
           Huge bedrock of visuals available


Quality & credentialing   How to tap into it   Copyright
Image Library on Federica Web
Learning
Main selection criteria: copyright
law

       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.
Archive providers


 The archives that have been
included and reviewed fall into
   three distinct categories:

  Amateur archives (eg.
         Flickr);

Institutional archives (eg.
           Plos);

Commercial archives (eg.
    Gettyimages).
Using the Image Library
Example: 3D imagery use
Example: graphs use
Example: The Ruins of
Paestum
Image Library numbers


  From the enormous
    wealth of photo
 archives available on
    the net we have
  chosen 99 that we
   consider valid for
inclusion in the Image
        Library.
What’s Next?
Images in the instagram era
From homo sapiens to student videns



  Homo Videns
 Giovanni Sartori,
Bari, Laterza, 2000




                           Source: njaj/Shutterstock
We need to
 become a nation
 or nations of net
contributors rather
     than net
    plunderers
    (Chris Anderson)




more open, more learning…
Thanks!
Ruth Kerr & Ilaria Merciai
              federica@unina.it
        ruthlizkerr@gmail.com
        ilaria.merciai@unina.it

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

  • 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. Images engage Visuals can arouse people’s interest, curiosity and motivation (Richard Mayer, 2001) Memory and recall for visuals tends to ck /Shuttersto be better than memory and recall ggsphoto for words re Source: g (Clark and Lyons, 2004)
  • 3. Images inform Coffee Drinks Illustrated Source: http://lokeshdhakar.com/coffee-drinks-illustrated/
  • 4. Images in education Theory of Learning = “The child is continually interacting with the world around him/her solving problems that are presented by the environment” (Jean Piaget) “To understand is to discover” (Jean Piaget) Constructivism = “a combination of Source: David Castillo Dominici/Shutterstock philosophy, psychology and cybernetics” (E. von Glasersfeld)
  • 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. Imagery as a bridge Printed Word Digital Literacy Source: Michael D Brown/Shutterstock
  • 7. Digital imagery in instructional design ? Instructional design
  • 8. Classification of images Several researchers have classified the instructional functions of visuals into taxonomies or categories. (Alesandrini, 1984; Clark & Lyons, 2004; Levin, 1981; Levie and Lentz, 1982; Rieber, 1994) Source: Dima Groshev/Shutterstock
  • 9. Lyons and Clark’s classification of visuals Clark, Lyons 2004
  • 10. User interface Use of graphics to create an appealing interface is not decorative – it serves to make machine more human and to encourage interaction between computers, people and culture. http://www.webdesignerdepot.com/2009/03/operating-system- interface-design-between-1981-2009/ Xerte - University of Nottingham Federica - University of Naples Federico II Source: Tanewpix/Shutterstock Google Drive: http://www.google.com/intl/it/drive/start/apps.html#drawi ngs
  • 11. Different types of graphics/images Clark and Lyons Classification Static Art Illustration Photographic Line drawnings Graphs and diagrams Dynamic Animation Art Video Virtual Reality
  • 12. Microscope photo Nikon Small Words Nasa Images
  • 13. Satellite photo Nasa Images
  • 14. Infographics Green Report Green Report, IL - Il maschile del Sole 24 ORE Infogr.am - an easy tool to create infographics
  • 15. Interactive mindmaps Text2mindmap: an easy tool to create mindmaps
  • 16. Learning Analytics Source: https://it.uoregon.edu/node/2805
  • 19. 3D Imagery Source: http://www.pymol.org/
  • 21. Edcanvas http://www.edcanvas.com/lessons/RGwAsKtUU_2mXA
  • 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 Northumbria Image 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. From the Internet to Weblearning Source: Bruce Rolff/Shutterstock Huge bedrock of visuals available Quality & credentialing How to tap into it Copyright
  • 24. Image Library on Federica Web Learning
  • 25. Main selection criteria: copyright law 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. Archive providers The archives that have been included and reviewed fall into three distinct categories: Amateur archives (eg. Flickr); Institutional archives (eg. Plos); Commercial archives (eg. Gettyimages).
  • 27. Using the Image Library
  • 30. Example: The Ruins of Paestum
  • 31. Image Library numbers From the enormous wealth of photo archives available on the net we have chosen 99 that we consider valid for inclusion in the Image Library.
  • 32. What’s Next? Images in the instagram era
  • 33. From homo sapiens to student videns Homo Videns Giovanni Sartori, Bari, Laterza, 2000 Source: njaj/Shutterstock
  • 34. We need to become a nation or nations of net contributors rather than net plunderers (Chris Anderson) more open, more learning…
  • 35. Thanks! Ruth Kerr & Ilaria Merciai federica@unina.it ruthlizkerr@gmail.com ilaria.merciai@unina.it