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Johannes Magenheim 28/07/ / 28 Consortium Coordinator Research & Technology Partners Application Partners + Associa te Partner Networ k MATURE – Overview
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University of Paderborn - Germany Presenter: Johannes Magenheim
Developing the AGORA Road Map –
9th WCCE July 27th – 31st, 2009 Bento Gonçalves, Brazil
Ateliers and Studios THE EU MATURE Project
EU IP Project FP7http://mature-ip.eu
Slides from different presentations of consortium Partners
28/07/2009 2 / 28
Johannes Magenheim
Outline
MATURE – Short Overview SER – Maturing Processes Knowledge Maturing Model Requirements for a PLME and OLME Conclusions
28/07/2009 3 / 28
Johannes Magenheim
Consortium
Coordinator
Research & Technology Partners
Application Partners
+
Associate
Partner Networ
k
MATURE – Overview
28/07/2009 4 / 28
Johannes Magenheim
Demands of Industrial Partners:Knowledge Maturing Process
Source: Project LearnKnowMat
MATURE - Overview
28/07/2009 5 / 28
Johannes Magenheim
Motivation
Agility of enterprises as a key success factor requires– continuous individual competence development– continuous learning of the organization and harvesting of the
employees‘ creativity and competency to act
Today‘s problems:– separation of working and learning– lack of passing on learned knowledge of individuals within the
organization– disruptions between different organizational systems– transition of emerging topics into organizational scope is not
well supported
MATURE - Overview
28/07/2009 6 / 28
Johannes Magenheim
Main Idea
Cumbersome organizational top-down approaches to supporting or „managing“ learning have largely failed to deliver
Web 2.0 bottom-up approaches have motivated people to engage in informal learning and knowledge sharing activities
Why not combine the two:– how to leverage intrinsic motivation to contribute to learning
efforts– how to foster effective contribution of individual learning
activities to organizational goals and thus enable sustainable impact
MATURE - Overview
28/07/2009 7 / 28
Johannes Magenheim
Objectives of MATURE
an analysis of real-world maturing practices and development of a sound general conceptual model – including ways to overcome barriers to it – including motivational and social barriers
a Personal Learning & Maturing Environment
an Organisational Learning & Maturing Environment
reusable Maturing Services – for seeding and reseeding,– and creating awareness of maturing-relevant activities
MATURE - Overview
28/07/2009 8 / 28
Johannes Magenheim
Need for service-oriented infrastructure
Such mashup toolsets like the PLME and OLME have to be flexible and extensible
This will only work with a service-oriented infrastructure that provides basic and rather generic functionality
But how should such an infrastructure look like?What are conceptual foundations?
MATURE - Overview
28/07/2009 9 / 28
Johannes Magenheim
Seeding – Evolutionary Growth - Reseeding
Model for design processes in communities by Fischer
Seeding Evolutionary Growth Reseeding
maturingprocess
knowledge of maturity
level n seeding
reseeding
knowledge of maturity level n+1seedingXOR
evolutionary growth
MATURE – SER / Maturing Processes
28/07/2009 10 / 28
Johannes MagenheimMATURE - Continuous Social Learning in Knowledge Networks
Knowledge Maturing Process Model v1
MATURE – SER / Maturing Processes
28/07/2009 11 / 28
Johannes Magenheim
Knowledge Maturing Process Model v1 (2)
content
maturing
ontologymaturing
(incl. competencies)
processmaturing
MATURE – SER / Maturing Processes
28/07/2009 12 / 28
Johannes Magenheim
SI - symbolic interactionism
12
MATURE – Knowledge Maturing Model
28/07/2009 13 / 28
Johannes Magenheim
Notion of Knowledge MaturingSeparating different issues
MATURE – Knowledge Maturing Model
28/07/2009 14 / 28
Johannes Magenheim
Maturing Services
We need services that– Interconnect different tools for different types of knowledge assets– Support the flow between the different levels
We call such services maturing services.
process modelstask patternstasksProcesses
global ontologieslocal ontologiestags, conventionsSemantics
manufactured contentswiki pages, blogscontacts, notes, draftsContents
OrganisationCommunityIndividualDimensionsLevels of Interaction Knowledge Assets
process modelstask patternstasksProcesses
global ontologieslocal ontologiestags, conventionsSemantics
manufactured contentswiki pages, blogscontacts, notes, draftsContents
OrganisationCommunityIndividualDimensionsLevels of Interaction Knowledge Assets
MATURE – Knowledge Maturing Model
28/07/2009 15 / 28
Johannes Magenheim
Knowledge Instantiations - Levels
MATURE – Knowledge Maturing Model
28/07/2009 16 / 28
Johannes Magenheim
Maturing Services: Seeding Service
enable the user to set up and initialize knowledge units and structures within a community
– associative network based on document similarities
– user models based on social network analysis
– recommendation based on user model and associative network
MATURE – Requirements for PLME / OLME
28/07/2009 17 / 28
Johannes Magenheim
Maturing Services: Growth Services
Allows users– to add new knowledge units (e.g. documents or users), – to adapt their characteristics (e.g. the users’ competencies) – to provide comments – to change the system behaviour.
based on the Web2.0 paradigm • User-generated content• Exploiting collective usage data
MATURE – Requirements for PLME / OLME
28/07/2009 18 / 28
Johannes Magenheim
Maturing Services: Reseeding Services
allow the user
– to analyse and visualize the collective activities of the community
– to negotiate between conceptualizations of different users and
– to change the underlying structures and functionalities.
MATURE – Requirements for PLME / OLME
28/07/2009 19 / 28
Johannes Magenheim
The MATUREVision
MATURE – Requirements for PLME / OLME
28/07/2009 20 / 28
Johannes Magenheim
Two levels of activities in OLME & PLME
PLME: personal view on activities– Single user at front end (personal environment)– Support of individual learning by fostering the understanding of
processes, contents, relations to other entities– The user searches for and creates artefacts & sociofacts– Support a person in communication and collaboration
OLME: organisational view on activities– Monitoring organisational activities– Providing (many) employees with valuable information by e.g.
connecting artefacts to sociofacts– Guiding the users to improve artefacts, sociofacts & cognifacts through
collaboration– Make implicit knowledge explicit by dissemination
MATURE – Requirements for PLME / OLME
28/07/2009 21 / 28
Johannes Magenheim14
Activities in PLMEPLME
MATURE – Requirements for PLME / OLME
28/07/2009 22 / 28
Johannes Magenheim14
Activities in PLME
Artefacts Artefacts
Sociofacts Cognifacts
PLME
MATURE – Requirements for PLME / OLME
28/07/2009 23 / 28
Johannes Magenheim
OLME concept – service classes
Services supporting organisational knowledge maturing by– Monitoring:
• which particular capacity do we need to reach a goal?
• which knowledge assets need to be developed?
– Integration: coordinate individual contributions
– Refinement: guide individuals towards closing knowledge gaps
– Dissemination: make new information available
– Negotiation: establish a consensus for maturing processes
OLME
MATURE – Requirements for PLME / OLME
28/07/2009 24 / 28
Johannes Magenheim24
Phases of Knowledge Maturing
AchievementRefinement
Dissemination
MATURE – Requirements for PLME / OLME
28/07/2009 25 / 28
Johannes Magenheim
Relation between PLME & OLME
25
Personally Motivated Learning
Organisational Learning Driven by Individuals
Organisationally Motivated
LearningDisseminatio
n
Personal View
PLME
Communities
Achievemen
t Improvemen
t
OLME
MATURE – Requirements for PLME / OLME
28/07/2009 26 / 28
Johannes Magenheim
Motivational factors
Individual
Work Context
Motivation to engage in
Know ledge MaturingActivity
InterpersonalContext
CapabilityInterests
Aff ective
Cooperative
Enablers
Organizational
MATURE – Requirements for PLME / OLME
28/07/2009 27 / 28
Johannes Magenheim
Conclusions
Maturing services enable the creation of learning environments as a set of loosely coupled tools.
The knowledge maturing process model – structures the learning landscape (from informal to formal) and– focuses on the dynamics, the interaction and transitions between different
forms of learning and knowledge. The SER model inspires types of system invention The approach
– create a flexible and dynamic knowledge and learning architecture– combines bottom-up, end-user driven activities with organizational
guidance.
MATURE – Conclusions
28/07/2009 28 / 28
Johannes Magenheim
Thanks for your attention !