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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
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
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
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?
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
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
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke 7
Learning Layers
E-Learning Expo 2003
Virtual Entrepreneurship Lab: Semantic Zapping
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
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
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
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
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke 12
Learning Layers
Development of Interfaces
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/
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.
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
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke 16
Learning Layers
Anatomy 2.0 Annotations
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke 17
Learning Layers
BOOST SME Learning - Employee Area
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
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
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
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
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