27
MATURE Continuous Social Learning in Knowledge Networks What we have learnt Scientific Coordinator Andreas Schmidt [email protected] Associate Partner Meeting Karlsruhe, February 3, 2012 http://mature-ip.eu

MATURE - What we have learnt

Embed Size (px)

DESCRIPTION

Presentation at Associate Partner Event in Karlsruhe, February 3, 2002

Citation preview

Page 1: MATURE - What we have learnt

MATUREContinuous Social Learning in Knowledge

Networks

What we have learnt

Scientific CoordinatorAndreas Schmidt

[email protected]

Associate Partner Meeting

Karlsruhe, February 3, 2012

http://mature-ip.eu

Page 2: MATURE - What we have learnt

2MATURE - Continuous Social Learning in Knowledge Networks

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

Page 3: MATURE - What we have learnt

3MATURE - Continuous Social Learning in Knowledge Networks

Main Idea

Cumbersome organizational top-down approaches to supporting 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

Page 4: MATURE - What we have learnt

4MATURE - Continuous Social Learning in Knowledge Networks

The Project

Page 5: MATURE - What we have learnt

5

Four Strands of Research and Development

Empirical Strand• Ethnographically informed studies• Large-scale interview study• In-Depth study

Conceptual Strand• Knowledge Maturing Model Landscape

Technical Strand• Development of a toolbox for content, process, people,

and semantic aspects

Evaluation Strand

MATURE - Continuous Social Learning in Knowledge Networks

Page 6: MATURE - What we have learnt

6MATURE - Continuous Social Learning in Knowledge Networks

Consortium

Coordinator

Research & Technology Partners

Application Partners

Page 7: MATURE - What we have learnt

Associate Partner Network

plus a very

active and

engaged

associate

partner

network

plus a very

active and

engaged

associate

partner

network

Page 8: MATURE - What we have learnt

Knowledge Maturing Model Landscape

Page 9: MATURE - What we have learnt

9MATURE - Continuous Social Learning in Knowledge Networks

Knowledge Maturing Phase Model

Page 10: MATURE - What we have learnt

10MATURE - Continuous Social Learning in Knowledge Networks

Knowledge Maturing Phase Model (2)

content

maturin

gco

ntent

maturin

g

ontologymaturing

(incl. competencies)

ontologymaturing

(incl. competencies)

processmaturingprocessmaturing

Page 11: MATURE - What we have learnt

11

Knowledge Maturing Model Landscape

Knowledge Maturing Phase Model• Describing knowledge maturing

Knowledge Maturing Activities• Contributing to knowledge maturing

Knowledge Maturing Indicators• Measuring knowledge maturing

Motivational Aspects• Overcoming barriers to knowledge maturing

MATURE - Continuous Social Learning in Knowledge Networks

find

keepup-to-date

familarise

reorganisereflect

create

share

communicate

assess

restrict

em

Page 12: MATURE - What we have learnt

12

KM Activities

1. Find relevant digital resources2. Embed information at individual or organisational level3. Keep up-to-date with organisation-related knowledge4. Familiarise oneself with new information5. Reorganise information at individual or organisational level6. Reflect on and refine work practices or processes

7. Create and co-develop digital resources8. Share and release digital resources9. Restrict access and protect digital resources10. Find people with particular knowledge or expertise11.Communicate with people12.Assess, verify and rate information

find

keepup-to-date

familarise

reorganisereflect

create

share

communicate

assess

restrict

em

Page 13: MATURE - What we have learnt

13

KM Indicators

Purpose: Make knowledge maturing traceable

Goals• Evaluate support of knowledge maturing and reflect on

its effects (scorecard)• Assess maturity of artefacts

Based on • Automated metrics on artefacts• User activities captured in log data• Dedicated evaluation activities

MATURE - Continuous Social Learning in Knowledge Networks

Page 14: MATURE - What we have learnt

MATURE - Continuous Social Learning in Knowledge Networks

Page 15: MATURE - What we have learnt

15

Motivational Aspects: Analysis framework

Page 16: MATURE - What we have learnt

16

Benefits of the KMM Landscape

Knowledge Maturing Model Landscape• empirically grounded• practically relevant• illustrated by real-world narratives

Usage

• Analysis instruments for consulting projects

• Conceptual basis for developing socio-technical solutions

MATURE - Continuous Social Learning in Knowledge Networks

Page 17: MATURE - What we have learnt

17MATURE - Continuous Social Learning in Knowledge Networks

Designing for Knowledge Maturing

Page 18: MATURE - What we have learnt

18

Vision

Create a Learning & Maturing Environment that creates learning rich workplaces

Principles

• Enable participation through easy-to-use work-integrated tools

• Align artefacts with knowledge maturity

• Design for sustained evolution

MATURE - Continuous Social Learning in Knowledge Networks

Page 19: MATURE - What we have learnt

19

Iterative Approach

Page 20: MATURE - What we have learnt

20

Integration into the design process

Page 21: MATURE - What we have learnt

21

Three interrelated solutions

Assuring Quality in Content Networks(SIMPLE)

Maturing Process Knowledge & Learning Support in Business Processes(KISSMIR)

People Tagging for Organizational Development(SOBOLEO)

MATURE - Continuous Social Learning in Knowledge Networks

Content

Semanti

csPeople

Processe

s

Page 22: MATURE - What we have learnt

22

How to move on

Page 23: MATURE - What we have learnt

23

Large-scale evaluation

Large-scale evaluation under way that collects experiences from longer term usage in real work environments

• at career guidance institutions with ~200 users

• at training provider for construction industry with ~70 users

• at university for student immatriculation

MATURE - Continuous Social Learning in Knowledge Networks

Page 24: MATURE - What we have learnt

24

Next steps

Knowledge Maturing Model Landscape• Concise and integrated description as an open book

Training & consulting offering by MATURE partners• Knowledge Maturing Model Landscape and how to apply it

for knowledge management problems in company contexts• Training courses and consulting projects

Open source model for SOBOLEO and SIMPLE• accompanying hosted services and

customization/integration or further development

MATURE - Continuous Social Learning in Knowledge Networks

Page 25: MATURE - What we have learnt

25

http://knowledge-maturing.com

MATURE - Continuous Social Learning in Knowledge Networks

Page 26: MATURE - What we have learnt

MATUREContinuous Social Learning in Knowledge

Networks

Scientific CoordinatorAndreas Schmidt

FZI, Germany

Administrative Coordinator

Pablo FranzoliniCIMNE, Spain

http://mature-ip.eucoordinator@mature-

ip.eu

Large-scale Integrating Project Budget: 9.5 Mio €04/2008-05/2012

Page 27: MATURE - What we have learnt

27

Agenda

MATURE - Continuous Social Learning in Knowledge Networks