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

17. Source:http://www.colorado.edu GIS Technology

18. Video Lectures

19. 3D Imagery
Source: http://www.pymol.org/

20. Extemporaneous drawnings

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

28. Example: 3D imagery use

29. Example: graphs use

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