Knowledge Management and

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Nov 6, 2013 (3 years and 8 months ago)

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Knowledge Management and

Virtual Learning


Learning machines support learning individuals


Prof. dr. Walter R. J. Baets

Director Graduate Programs Euromed Marseille


Ecole de Management

Professor Information, Innovation and Knowledge

Universiteit Nyenrode, The Netherlands Business School

NOTION

The Nyenrode Institute for Knowledge

Management and Virtual Education


Achmea

Microsoft

Atos/Origin

Philips

Sara Lee/DE

Wanderer, your footprints are

the path, and nothing more;

Wanderer, there is no path,

it is created as you walk.

By walking,

you make the path before you,

and when you look behind

you see the path which after you

will not be trod again.

Wanderer, there is no path,

but the ripples on the waters.

Antonio Machado,

Chant XXIX Proverbios y cantares,


Campos de Castilla, 1917

A very great musician came and stayed in our house,

He made one big mistake …

He was determined to teach me music

and consequently, no learning took place.

Nevertheless, I did casually pick up from him

a certain amount of stolen knowledge.

Rabindranath Tagore

You don’t know what you don’t know

The problem

You only know what you don’t know when you need it

… then, all classical learning comes too late

Just
-
in
-
time

Hence

Just
-
enough

Learning
-
by
-
doing

Learning
-
while
-
doing

Learning from past (corporate) experiences

It has to do with the pedagogical metaphor

By the way

Empty Ship’s metaphor

versus

Traveler's metaphor

Just like the optimal process does not exist

The optimal learning solution does not exist either

Strive for a 60 % solution

The advantage of e
-
learning technologies





Communicative tools on a wider (flexible) scale


Search engines

Origin of Taylor’s thinking in Management

The computer: attempt to automate human thinking

Manipulating symbols


Modelling the brain


Represent the world


Simulate interaction of





neurones


Intelligence = problem solving

Intelligence = learning


0
-
1 Logic and mathematics

Approximations, statistics


Rationalist, reductionist


Idealised, holistic



Became the way of building computers


Became the way of looking at minds





Some principles that apply to knowledge

1. Complex Adaptive Systems: unpredictability


2. Irreversibility of time principle (Prigogine)

3. Behavior far away from equilibrium (Prigogine)

4. Autopoiese (Varela)

5. Embodied mind (Varela)

6. Enacted cognition (Varela)

7. Artificial life (Langton)

8. Emergent behavior (agents; Holland)

9. Law of increasing returns (Arthur)

ENVIRONMENT




Single
-
loop

learning

Environmental

response

Individual action

INDIVIDUAL MENTAL

MODEL &

FRAMEWORKS

ORGANIZATIONAL

ROUTINES &

SHARED MENTAL

MODELS

Individual double
-
loop learning

Organizational double
-
loop learning

Organizational action

OADI
-
cycle/Individual learning

ASSESS

DESIGN

IMPLEMENT

OBSERVE

.

The Hybrid Business School

EXPERIENCES

INDIVIDUAL MENTAL

MODEL &

TACIT KNOWLEDGE

SHARING AND
COMMUNICATION

SHARED MENTAL

MODEL &

KNOWLEDGE

REPOSITORY

Contextualization

CONTEXTUAL

KNOWLEDGE


Real life


Databases


Procedures


Simulators


Executive seminars


Concepts


Theory


IT for the Hybrid Business School

CASE BASED

REASONING

SYSTEM

ARTIFICIAL NEURAL

NETWORKS &

OTHER A.I.

TECHNIQUES

Sharing and
Communicating the
Emergent

COMMUNICATION

PLATFORM /

NEURAL NETWORKS

Learning Material

Expertise


DATA BASES


LEARNING
ENVIRONMENT


SIMULATORS


EXPERT SYSTEMS


COMPUTER BASED
TEACHING


VIDEO
-
CONFERENCING

Some
interesting

technologies

Artificial Neural Networks

Genetic Algorithms

Genetic Programming

Fuzzy Logic

Artificial life/Agent simulations

Negotiating Agents

Semantic Search Engines

Case Based Reasoning

Language technologies

Machine learning technologies

Conversational technologies

Your knowledge infrastructure

Learning platform


Provide an ICT

infrastructure

that allows full

access and

sharing

facilities

Content


What knowledge

to share:


explicit


implicit


learned

Ownership (search/learn principles)

Remains with those that use it

Those that want to learn decide what to learn

Just
-
in
-
time, just
-
enough

Culture


Turn XYZ

into a learning

culture (via

projects)


Rewarding

Learning platform and search/learn principles

The knowledge net


Explicit knowledge (database)


Implicit knowledge (case base)

Case based reasoning system

Cases stored in an adapted way

A methodology for case analysis and storage

Corporate knowledge repository


Notion

Learned knowledge (case base)

Explicit knowledge that is enhanced via experience

Using the same methodology for implicit knowledge

Interviews with key knowledge owners




Open learning platform

Collaborative tools

Dedicated search engines

Accessibility for all

Open to connect ‘any’


application

Solution for e
-
learning



The user

with its learning

agenda

Some (Best) Practices

Xerox

Heineken

Atos Origin

Sara Lee/DE

McKinsey

Dutch Police Knowledge Network

General practitioners and hospital knowledge

INTERNET

INTRANET

PC

CD ROM

BOOKS

WWW site

+ other knowledge applications

A TYPICAL MANAGEMENT DIPLOMA COURSE


3O % SELF
-
STUDY (learning
-
by
-
doing)


2O % WORKSHOPS


50 % PROJECT WORK

C

A

S

E

S

CONCEPTS

LEARNING/DATABASE SOFTWARE

EXECUTIVE

COURSES

HYPERTEXT

DATABASE

MBI&I

Executive

Programs

Design of

corporate virtual

universities

Modules

of the MBI&
I

Workshops on

innovation

Action

research

programs

E
-
learning support

for classroom

activities

E
-
learning

solutions

Over a period of 18 months

700 hours


900 hours

300 hours

Developing an

intrapreneurial project (1)

Developing an

intrapreneurial project (2)

E
-
ntrepreneurships project

9 courses based on

virtual (tutor

supported) individual

and group study

6

on
-
campus

weeks

of

workshops

The Hybrid Business School

Building Blocks

Ownership

learn/search

Learning Agenda

(Pers. Development)

culture

platform
ICT

content

Explicit
knowledge

Implicit
knowledge

Search
engine

learner

+

learning

agenda

Knowledge platform

cases

Concepts

Practices

Methodology

Actions

Outcomes

(company
-
specific)

Brainstorm

4 Brainstorms

Project team



Notion



MD/HRM



Line mgt



IT



Marketing/R&D

IT/Application plan

White Paper

(Board approval)

E
-
learning view

4 Action plans

(Board approval)

Infrastructure

(Plan)

Architecture

Knowledge Management and

Virtual Learning


Learning machines support learning individuals


Prof. dr. Walter R. J. Baets

Philips Chair in Information and Communication Technology

Universiteit Nyenrode, The Netherlands Business School