Unraveling Multimodality with Large Language Models.pdf
From Learning Networks to Digital Ecosystems
1. From L e a r n i n g N e t wo r k s
to Digital Ecosystems
03.09.2010 Tallinn University, Estonia
Dr. Hendrik Drachsler
Centre for Learning Sciences and Technology
@ Open University of the Netherlands
1
5. Centre for Learning Sciences
and Technologies (CELSTEC)
• 100 employees (R. Koper)
• 3 R&D program’s
• Learning and Cognition (P. Kirschner)
• Learning Media (M. Specht, & W. Westera)
• Learning Networks (P. Sloep)
• Master Active Learning (E. Boshuisen)
2
6. Whoami
• Assistant Professor at the
Learning Networks Program
• Research topics:
Learning Networks,
Technology Enhanced
Learning, Recommender
Systems, Personalisation,
Mash-Ups and widget
technology, e-health
3
9. Overview
• Introduction to Learning Networks
• Introduction to Digital Ecosystems
• Differences between Learning Networks
and Digital Ecosystems
• A Future Research Agenda
5
10. Overview
• Introduction to Learning Networks
• Introduction to Digital Ecosystems
• Differences between Learning Networks
and Digital Ecosystems
• A Future Research Agenda
5
11. Overview
But before we start...
• Introduction to Learning Networks
• Introduction to Digital Ecosystems
• Differences between Learning Networks
and Digital Ecosystems
• A Future Research Agenda
5
13. Twitter
Ecosystem nt
Please use the
Are there any
following hashtag for
Twitter users?
the backchannel.
You can post your
remarks and questions
during the presentation
and we get back to
them later on.
6
14. Twitter
Ecosystem nt
Please use the
following hashtag for
the backchannel.
You can post your
remarks and questions
during the presentation
and we get back to
them later on.
6
15. Twitter
Ecosystem nt
Hashtag: #LNDE
Please use the
following hashtag for
the backchannel.
You can post your
remarks and questions
during the presentation
and we get back to
them later on.
6
16. Twitter
Ecosystem nt
Hashtag: #LNDE
Please use the
If you are not a twitter
users surf hashtag for
following to:
the backchannel.
http://backnoise.com/?LNDE
You can post your
You just have questions
remarks and to enter
during the presentation
a user name and can
and we get back to
contribute and discuss
in the later on.
them backchannel.
6
18. We live in a decade of
industrial change
Change picture
8
19. The challenge
“The biggest challenge businesses face
today is unlearning what was successful in
the industrial age and learning how to
prosper in the network era.”
Jay Cross (2006)
9
21. G
L O C A L I S AT I O N
O
B
A
L
I
S
A
T Graphic by Alex Guerten, 2008
I
O
N 10
22. G L O C A L I S AT I O N
Graphic by Alex Guerten, 2008
10
23. G L O C A L I S AT I O N
P
R
O
D
U
C
Graphic by Alex Guerten, 2008
E
CONSUMERS
S
10
24. G L O C A L I S AT I O N
Graphic by Alex Guerten, 2008
PROSUMERS
10
25. The Glocalisation / Prosumers world
by Zohar Manor-Abel http://flickr.com/photos/zoharma/97214235/sizes/l/
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26. Learning Networks
• Explicitly address informal
learning
• Users can publish, share, rate,
tag and adjust knowledge
resources in Learning
Networks
• Open Corpus that emerges
form the bottom upwards (Koper & Sloep, 2002)
12
27. Learning Networks
• Explicitly address informal
learning
• Users can publish, share, rate,
tag and adjust knowledge
resources in Learning
Networks
• Open Corpus that emerges
form the bottom upwards (Koper & Sloep, 2002)
12
29. Julie, a medical doctor from Germany
Julie is a medical doctor at the Gannon University who wants
to become specialized as cardiologist.
She participates in the International Cardiology Qualification
Network and shares her experiences on the medical cases with
colleagues from hospitals world wide. She also gets informed
about new cases available in the network.
14
30. Julie, a medical doctor from Germany
Julie is a medical doctor at the Gannon University who wants
to become specialized as cardiologist.
She participates in the International Cardiology Qualification
Network and shares her experiences on the medical cases with
colleagues from hospitals world wide. She also gets informed
about new cases available in the network.
14
31. Limbourgs Public Library in the Netherlands
Limbourgs public library in
the Netherlands needs to
rethink its role in society
and retrain its personnel in
the process.
Therefore they want to
create an Innovation
Network with their
employees and their target
groups to innovate and
train their personnel
towards the network era.
15
32. Limbourgs Public Library in the Netherlands
Limbourgs public library in
the Netherlands needs to
rethink its role in society
and retrain its personnel in
the process.
Therefore they want to
create an Innovation
Network with their
employees and their target
groups to innovate and
train their personnel
towards the network era.
15
35. R&D for Learning Networks
• Mashups, Personal Environments
• Indicators on Learning Interactions
• Reflection Support on Social Learning
• Personalisation of Information
• Distributed Innovation
• Prior Knowledge Assessment
• Recommender Systems
• Network Analysis
17
63. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
64. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
2006
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
65. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
66. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
2007 Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
67. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
68. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
2008 Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
69. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
70. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
2009
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
71. Recommender System Research
Prototype:
Recommender
Practical
System for Learning
Networks
Study 3: Learning Networks
Simulation
Study 2: Psychology Experiment
Study 1: Theoretical Background
Theoretical
2006 2007 2008 2009
26
73. Try it your self ...
Sign up at
remashed.ou.nl
27
74. Try it your self ...
Sign up at
remashed.ou.nl
Enter your favorite
Web 2.0 potatoes.
27
75. Try it your self ...
Sign up at
remashed.ou.nl
Enter your favorite
Web 2.0 potatoes.
Join the
Community.
27
76. Try it your self ...
Sign up at Let ReMashed
remashed.ou.nl start mashing.
Enter your favorite
Web 2.0 potatoes.
Join the
Community.
27
77. Try it your self ...
Sign up at Let ReMashed
remashed.ou.nl start mashing.
Enter your favorite Taste your
Web 2.0 potatoes. personal
flavor of
Web 2.0.
Join the
Community.
27
79. Learning Networks
“A Learning Network is an online, social network
designed to support and facilitate lifelong
learning (a learning ‘ecosystem’)”
(Peter Sloep, 2009)
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82. Digital Ecosystems
But before we Go on...
Let’s have a look at our
Twitter experiment
30
83. What is an Ecosystem ?
“An ecosystem is
generally an area within
the natural environment
in which physical factors
of the environment, such
as rocks and soil, function
together along with
interdependent
organisms, such as plants
and animals, within the
same habitat.”
http://en.wikipedia.org/wiki/Ecosystem
31
84. What is a Digital
Ecosystem ?
“A Digital Ecosystem is
any distributed adaptive
open socio-technical
system, with properties
of self-organisation,
scalability and
sustainability, inspired by
natural ecosystems.”
http://en.wikipedia.org/wiki/Digital_ecosystem
32
85. What is a Digital
Ecosystem ?
“Digital Ecosystems were
made possible by the
emergence of three
networks: ICT networks,
social networks, and
knowledge networks.
Nachira, F., Dini, P., Nicolai, A. (2007)
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86. What is a Digital
Ecosystem ?
Nachira, F., Dini, P., Nicolai, A. (2007)
34
87. What is a Digital
Ecosystem ?
Learning Ecosystems
Nachira, F., Dini, P., Nicolai, A. (2007)
34
88. Another Definition
“... often a group of applications complementing a specific
product or platform is considered to form a digital
ecosystem; the ICT companies form a “digital ecosystem
community.”
“But, in order to make sense in large scale concepts such as
the Information Society they [the digital ecosystems] need to
be useful to many facets of the economic life of the individual
economic player. “
Nachira, F., Dini, P., Nicolai, A. (2007)
35
89. Another Definition
Company Ecosystems
“... often a group of applications complementing a specific
product or platform is considered to form a digital
ecosystem; the ICT companies form a “digital ecosystem
community.”
Digital Ecosystems
“But, in order to make sense in large scale concepts such as
the Information Society they [the digital ecosystems] need to
be useful to many facets of the economic life of the individual
economic player. “
Nachira, F., Dini, P., Nicolai, A. (2007)
35
101. A Learning Network can become
a Digital Ecosystem when...
...it applies distributed tools, communities, or
services from different providers whereby
these sources interrelated in very specific
ways by open API’s and standards in order to
serve a greater overall purpose for its
community.
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102. Extend tools
Biosphere Organisations
Create
Create Consume
Innovate Digital Ecosystem Extend
Mashup
Consume community Community
New services Innovators Content
Providers
f
Position Glocalisation ProSumers
Use
Target offers Contribute / Enrich
Alliance Consume
Advertise Search
Target Groups Validate
Emerge data
143. Grow new niche services
Consequently use services from the biosphere and
intertwine student projects with these services
• Google ecosystem (forms, database, Google API)
• Yahoo ecosystem (Yahoo pipes, and web services)
• Reuters Open Calais and Semantic Enrichment
• Open data from twitter and other ecosystems
• Open API’s, Protocols, Standards -> Interoperability
• Empower the users to connect, enrich and combine
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145. Many Thanks for your
interests
Your questions are welcome
and what is happening in
the #LNDE backchannel?
56
146. References
Anderson, C. 2004. “The long tail.” Wired Magazine 12 (10). Available: http://www.wired.com/wired/archive/12.10/tail.html
Cross, J., (2006) Informal learning: Rediscovering the natural pathways that inspire innovation and performance. Pfeifer
Drachsler, H., Hummel, H., & Koper, R. (2008a). Personal recommender systems for learners in lifelong learning: requirements,
techniques and model. International Journal of Learning Technology 3(4), 404 - 423.
Drachsler, H., Hummel, H., & Koper, R. (2008b). Using Simulations to Evaluate the Effects of Recommender Systems for Learners in
Informal Learning Networks. Paper presented at the EC-TEL conference, 2nd Workshop on Social Information Retrieval in
Technology Enhanced Learning (SIRTEL08). September, 16-19, 2008, Maastricht, The Netherlands: CEUR Workshop
Proceedings
Drachsler, H., Hummel, H., & Koper, R. (2009). Identifying the Goal, User model and Conditions of Recommender Systems for
Formal and Informal Learning. Journal of Digital Information.
Drachsler, H., Hummel, H., van den Berg, B., Eshuis, J., Berlanga, A., Nadolski, R., Waterink, W., Boers, N., & Koper, R. (accepted).
Effects of the ISIS Recommender System for navigation support in self-organised Learning Networks. Journal of Educational
Technology and Society.
Drachsler, H., Dries, E., Arts, T., Rutledge, L.,Van Rosmalen, P., Hummel, H. G. K., & Koper, R. (submitted). ReMashed –
Recommendations for Mash-Up Personal Learning Environments. 4th European Conference on Technology Enhanced
Learning, EC-TEL 2009. Learning in the Synergy of Multiple Disciplines, September, 29, 2009, Nice, Italy
Iyer, B., & Davenport, T. H. (2008). Reverse engineering Google's innovation machine. Harvard Business Review.
Kalz, M.,Van Bruggen, J., Giesbers, B., & Koper, R. (2007). Prior Learning Assessment with Latent Semantic Analysis. In F. Wild,
M. Kalz, J.Van Bruggen & R. Koper (Eds.). Proceedings of the First European Workshop on Latent Semantic Analysis in
Technology Enhanced Learning (pp. 24-25). Heerlen, The Netherlands: Open University of the Netherlands.
Gahn, C., Specht, M., & Koper, R. (2007). Smart Indicators on Learning Interactions. In E. Duval, R. Klamma, & M. Wolpers
(Eds), Creating New Learning Experiences on a Global Scale: LNCS 4753. Second European Conference on Technology
Enhanced Learning, EC-TEL 2007 (pp. 56-70). Berlin, Heidelberg: Springer.
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147. This silde is available at:
http://www.slideshare.com/Drachsler
Email: hendrik.drachsler@ou.nl
Skype: celstec-hendrik.drachsler
Blogging at: http://www.drachsler.de
Twittering at: http://twitter.com/HDrachsler
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