This document discusses gender- and diversity-sensitive design of mobile and distributed elearning approaches. It describes learning networks as groups of people who use the web to communicate, collaborate, and build knowledge. It notes characteristics of effective learning networks, including being open, transparent, willing to make mistakes, and always trying to make contact. It also provides demographic information about typical Twitter users in Germany, noting most are around 30 years old and 60-70% are male.

1. GENDER- AND DIVERSITY-SENSITIVE DESIGN
OF A MOBILE, DISTRIBUTED APPROACH TO
ELEARNING SUPPLIES
Mostafa Akbari
Computer Supported Learning Group
RWTH Aachen University
mosworld

2. GENDER- AND DIVERSITY-SENSITIVE
DESIGN OF A MOBILE, DISTRIBUTED
APPROACH TO ELEARNING SUPPLIES

3. GENDER- AND DIVERSITY-SENSITIVE
DESIGN OF A MOBILE, DISTRIBUTED
APPROACH TO ELEARNING
SUPPLIES

4. Learning Networks

5. Learning Networks are groups of
people who use the web in
autonomous and self-determined
ways and/or meet face to face to
communicate and collaborate in
order to build and share knowledge.

7. • Neurons are open and transparent.
• Neurons share their knowledge immediately.
They don't try to become famous, and they are
not egocentric.
• Neurons are not afraid of making mistakes nor of
making a fool of themselves - they just quot;firequot;
immediately.
• Neurons react immediately when they are
stimulated.
• Neurons always try to get in contact with other
neurons. They are not afraid of being obtrusive.
• Neurons don't take offence.
• Neurons don't pause. They take time off only
when their project is finished.

9. • Twitter User round about 30 years old
• 60-70% men 40%-30% women users
• Twitter-User are so calles „early
adopters“
• in Germany round 50000 to 90000 users

10. http://twitter.mailana.com/

11. http://bit.ly/G8qZJ
mosworld

12. http://bit.ly/12BZmj
ldl

13. http://bit.ly/12BZmj
ldl

14. http://bit.ly/fw16B
web2.0

15. http://bit.ly/hIIvA
love

16. http://bit.ly/Rru0I bayern

17. http://bit.ly/Har92
wahlkampf

18. http://bit.ly/o6FPC
gntm