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University of Paderborn - GermanyPresenter: Johannes Magenheim Developing the AGORA Road Map – 9 th WCCE July 27 th – 31 st, 2009 Bento Gonçalves, Brazil.

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Presentation on theme: "University of Paderborn - GermanyPresenter: Johannes Magenheim Developing the AGORA Road Map – 9 th WCCE July 27 th – 31 st, 2009 Bento Gonçalves, Brazil."— Presentation transcript:

1 University of Paderborn - GermanyPresenter: Johannes Magenheim Developing the AGORA Road Map – 9 th WCCE July 27 th – 31 st, 2009 Bento Gonçalves, Brazil Ateliers and Studios THE EU MATURE Project EU IP Project FP7 http://mature-ip.eu Slides from different presentations of consortium Partners

2 Johannes Magenheim 28/07/2009 2 / 28 Outline  MATURE – Short Overview  SER – Maturing Processes  Knowledge Maturing Model  Requirements for a PLME and OLME  Conclusions

3 Johannes Magenheim 28/07/2009 3 / 28 Consortium Coordinator Research & Technology Partners Application Partners + Associa te Partner Networ k MATURE – Overview

4 Johannes Magenheim 28/07/2009 4 / 28 Demands of Industrial Partners: Knowledge Maturing Process Source: Project LearnKnowMat MATURE - Overview

5 Johannes Magenheim 28/07/2009 5 / 28 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

6 Johannes Magenheim 28/07/2009 6 / 28 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

7 Johannes Magenheim 28/07/2009 7 / 28 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

8 Johannes Magenheim 28/07/2009 8 / 28 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

9 Johannes Magenheim 28/07/2009 9 / 28 Seeding – Evolutionary Growth - Reseeding  Model for design processes in communities by Fischer  Seeding  Evolutionary Growth  Reseeding MATURE – SER / Maturing Processes

10 Johannes Magenheim 28/07/2009 10 / 28 MATURE - Continuous Social Learning in Knowledge Networks Knowledge Maturing Process Model v1 MATURE – SER / Maturing Processes

11 Johannes Magenheim 28/07/2009 11 / 28 Knowledge Maturing Process Model v1 (2) content maturing ontology maturing (incl. competencies) ontology maturing (incl. competencies) process maturing MATURE – SER / Maturing Processes

12 Johannes Magenheim 28/07/2009 12 / 28 SI - symbolic interactionism 12 MATURE – Knowledge Maturing Model

13 Johannes Magenheim 28/07/2009 13 / 28 Notion of Knowledge Maturing Separating different issues MATURE – Knowledge Maturing Model

14 Johannes Magenheim 28/07/2009 14 / 28 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. MATURE – Knowledge Maturing Model

15 Johannes Magenheim 28/07/2009 15 / 28 Knowledge Instantiations - Levels MATURE – Knowledge Maturing Model

16 Johannes Magenheim 28/07/2009 16 / 28 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

17 Johannes Magenheim 28/07/2009 17 / 28 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

18 Johannes Magenheim 28/07/2009 18 / 28 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

19 Johannes Magenheim 28/07/2009 19 / 28 The MATURE Vision MATURE – Requirements for PLME / OLME

20 Johannes Magenheim 28/07/2009 20 / 28 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

21 Johannes Magenheim 28/07/2009 21 / 28 14 Activities in PLME PLMEPLME MATURE – Requirements for PLME / OLME

22 Johannes Magenheim 28/07/2009 22 / 28 14 Activities in PLME Artefacts Sociofacts Cognifacts PLMEPLME MATURE – Requirements for PLME / OLME

23 Johannes Magenheim 28/07/2009 23 / 28 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 OLMEOLME MATURE – Requirements for PLME / OLME

24 Johannes Magenheim 28/07/2009 24 / 28 24 Phases of Knowledge Maturing Achievement Refinement Dissemination MATURE – Requirements for PLME / OLME

25 Johannes Magenheim 28/07/2009 25 / 28 Relation between PLME & OLME 25 Personally Motivated Learning Organisational Learning Driven by Individuals Organisationally Motivated Learning Dissemination Personal View PLMEPLME Communities Achievement Improvement OLMEOLME MATURE – Requirements for PLME / OLME

26 Johannes Magenheim 28/07/2009 26 / 28 Motivational factors MATURE – Requirements for PLME / OLME

27 Johannes Magenheim 28/07/2009 27 / 28 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 Johannes Magenheim 28/07/2009 28 / 28 Thanks for your attention !


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