Final BOOST Conference, St. Augustin, September 10, 2015

1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1
Learning
Layers
A Short Swim through
the Personal Learning Pool
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Final BOOST Conference, Schloss Birlinghoven, St. Augustin, September 10, 2015

2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
2
Learning
Layers
Outline
Different Learning Cycles
Collecting Experience
with Personal Learning
Designs
Some Lessons learnt
ECIS’98

3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
3
Learning
Layers
The Self-Regulated Learning Cycle
Based on [Fruhmann, Nussbaumer & Albert, 2010]
Learner profile
information is
defined or
revised
Learner finds
and selects
learning
resources
Learner works
on selected
learning
resources
Learner reflects
and reacts on
strategies,
achievements
and usefulness
plan
learnreflect
The Horizon Report – 2011 Edition

4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
4
Learning
Layers
11.09.154.-6.
Juni 1998
ECIS’98
The Organizational Learning Cycle
adapted from [Nonaka’94]
Use of metaphors and analogies, Models
Observation,
Imitation,
Practice,
Shared
experiencies
Reasoning,
Programming,
Data mining,
Exchanging
information
Shared mental models, Work practice, Re-experience, learning
Externalization
Combination
Internalization
Socialization
tacit
explicit
tacit
explicit
How to create new knowledge?
What kind of knowledge?

5. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
5
Learning
Layers
11.09.154.-6.
Juni 1998
ECIS’98
Organisational Memory in an
Organisational Learning Cycle
Externalization
Combination
Internalization
Socialization
tacit
explicit
tacit
explicit
Customer
Failure detection
Organizational Learning: [Argyris and Schön’78, Duncan and Weiss’79, Huber’91]
Knowledge Context Modeling: [Choo’96, Wargitsch et al.’97, Klamma et al.’98]
Explicit
representation
of OM parts

6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
6
Learning
Layers
11.09.154.-6.
Juni 1998
ECIS’98
Use of Organisational Memory Tools
Case-based navigation
of failures [Ackermann ‘92]
l Simple technology
l Ease-of-use
l Distribution of
failure knowledge
l Construction of
search paths & email
(informational and
technological barriers)
Internet:
http://www-i5.informatik.rwth-
aachen.de/FOQUS

7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
7
Learning
Layers
E-Learning
Expo
2003
Virtual Entrepreneurship Lab:
Semantic Zapping

8. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
8
Learning
Layers
MECCA
Movie E-learning Combination and Categorization Application
■ Media exploration in
MECCA via:
– Ontology driven
Media screenings
(„Semantic zapping“)
– Relationships between
media
(„Hypermedia graphs“)
– Combinable and
annotatable multimedia
artifacts („Media
collections“)
Java / JMF
eXist XML-DB
central FTP-Server for media

9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
9
Learning
Layers
Bubble Annotation Tool:
Storytelling with Fun
Anna Hannemann, Christian Hocken, Ralf Klamma
Community Driven Elicitation of Requirements with Entertaining Social Software
Software Engineering 2009 Workshop-Band, Germany, Kaiserslautern, March 2-6, 2009

10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
10
Learning
Layers
IKYDA: Non-linear Digital Storytelling
for the Battleship “G. Averof”
■ Targeted at (semi-) professional cultural heritage management:
Battleship Averof (managed by Greek Navy)
■ A great amount of multimedia material with insufficient
management expertise
■ Story template based storytelling
■ GIS integrated multimedia storytelling with 3D media
E. Gadolou, H. Papadaki, E. Stefanakis, G. Kritikos, Y. Cao, A. Hannemann, R. Klamma, D. Kovachev
Storytelling, Spatial Standards and Cultural Heritage Management
13th AGILE International Conf. on Geographic Information Science: Geospatial Thinking, Guimaraes, Portugal, May 10-14, 2010

11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
11
Learning
Layers
SeViAnno: Video Annotation for
Cultural Heritage Management
Meso
Micro
Macro
Spatial
Metadata
Access right
Granularity Time
Expertise
§ Context uncertainty: map-based tagging and geo tagging
§ Semantics uncertainty: MPEG-7 metadata standard-based tagging with multi-granularity
Introduction
Related work
Concepts
Realization
Evaluation
Conclusions

12. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
12
Learning
Layers
Development of Interfaces

13. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
13
Learning
Layers
Space (shared by multiple users)
SeViAnno 2.0 & ROLE Framework
Web application (composed of widgets)
Widget (collaborative web
component)
EU FP7 ROLE Project
http://role-sandbox.eu/

14. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
14
Learning
Layers
ROLE Technical Infrastructure
Nussbaumer, A., Kravcik, M., Renzel, D., Klamma, R., Berthold, M., & Albert, D. (2014). A Framework for Facilitating Self-Regulation in Responsive Open Learning
Environments. arXiv preprint arXiv:1407.5891.

15. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
15
Learning
Layers
Anatomy 2.0
ICWL 2015
IEEE Computer
http://dbis.rwth-aachen.de/3dnrt/Anatomy2.0/src/views/welcome.php
http://dbis.rwth-aachen.de/3dnrt/Anatomy2.0-test/src/views/model_viewer.php?id=172
http://role-sandbox.eu/spaces/hsakdjfhskjdf

16. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
16
Learning
Layers
Anatomy 2.0 Annotations

17. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
17
Learning
Layers
BOOST
SME Learning - Employee Area

18. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
18
Learning
Layers
User Interface Distribution
Limited space and
interaction
possibilities
Trend to using
multiple personal
devices
Lack of tools and
methodologies for
Web-based DUIs

19. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
19
Learning
Layers
Delivery Models of
Informal Learning Solutions
Name ROLE BOOST/Anatomy 2.0 Learning Layers
Platform ROLE SDK ROLE SDK Layers Box
Store ROLE Widget Store - LAPPS
Digital Ecosystem Many spaces – many
widgets – bundles
One space – small set
of widgets
Many apps
Runtime Environment Public ROLE sandbox ROLE SDK installation Cloud-based Layers
Box
Translations No translations Translations Translations
Process OSSD + ReqBaz OSSD + Commercial
exploitation
OSSD + DevOps
Target Self-regulated learning Micro companies Small and Medium
Sized Enterprises
19

20. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
20
Learning
Layers
Paradigm Shift in the Web:
From Server-Side to Client-Side
Web
Requirements
• Scalable
• Customizable
• Reusable
• Collaborative
• Near realtime
• …
Infrastructure
(P2P, Cloud)
(Micro) Services
(REST)
Frontends
Architectural choices
Methodologies
User Guidance
Rapid Prototyping
Abstraction/Modeling
Collaborative editing
Server-side Architecture / Components Client-side

21. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
21
Learning
Layers
Conclusions
Yjs
Nudges Editor Nudges Viewer
las2peer
Application
Properties
Code
Generation
Service
Model
Persistence
Service
Application
Generator