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Practical Learning Design in a Future Learning Object Economy Tore Hoel Norwegian eStandard project www.estandard.no Edinburgh, Oct 23rd 2003

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Practical Learning Designin a Future Learning Object Economy

Tore HoelNorwegian eStandard projectwww.estandard.no

Edinburgh, Oct 23rd 2003

The topics of todayToday

The future

Knowledge corpuses in different domains

The learner'sknowledge structure of a domain

Content transmission model

Social construction model

Top downapproach

Down up approach

The top down approach of today

Digital libraries Learning Resource Repositories Portals exposing links to resources LOM profiles Content exchange Easy access to content - removing

barriers (IPR, identifiers….)

Don’t forget the interests involved

Standardization of e-learning technology is a complex negotiation of meaning and interests within large actor-networks of strong individual intellectuals, companies, users and user organizations, software vendors, international bodies, system architectures, message definitions, individual data elements and specifications - comprising both human and nonhuman actors.

Who are designing e-learning?

ICT technologists Content managers

and publishers Academia The educational

community? The learner’s

interests?

E-learning community

Library community Knowledge

management community

”Content is king” ”Learning is construction of meaning”

Are we designing/modelling the right stuff?

LOM, digital libraries are big world phenomena

Learning processes are small world phenomena

We have to follow both tracks – or we do not succeed!

Are we succeeding?

Learning Resource Repositories are not used as much as we hoped for

Metadata are not provided, very often of bad quality, and above all: expensive

Portals (quality assured resources) are not used

Internet is used: General search engines, e.g. Google

Down up – let’s start in the classroom

I feel proud having so many keywords

I have to be more focused when reading to be able to extract keywords and look for connections

It easy to go back and look at what we have learnt

TopicMap – an ISO standard

TAO of Topic Maps: Topics, Assocations…

Is used for

has

Is used for

cartransport

wheel

holiday

…and Occurences

is used for

has

is used for

transport

wheel

http://www.motor.no

car

http://www.autofil.no

holiday

BrainBank eaten by the Omnivorous Topic Map Navigator

Live

dem

o!

The promises of ”secondary” metadata

Ontology layers

My perspective Our perspective(s) Their perspectives

SNL

SNL

SNL

SNL

Hedda Gabler

Skien

wrote

Born in

wrote

information

knowledge

A dolls house

SNL

SNL

SNL

SNL

Skienkom-mune

CapLex

CapLex

NBL

Henrik Ibsen

Hedda Gabler

Skien

A dolls house

wrote

Born in

wrote

“The reality”

topicmaps

information

knowledge

andre emnekartflettes inn ...

Ibsen-senter

Ibsen-senter

Ibsen-senter

Ibsen-senter

Ibsen-senter

Ibsen-senter

HelmerHelmer

Dr. RankDr. RankFru LindeFru Linde

KrogstadKrogstadNoraNora

Theme id and the “third layer” There is a third layer: “the reality”

Every topic in the topic map represents a theme in “the real world”

The theme id tells what theme a topic represents With a PSI (published subject indicator) topics may be shared

across topic maps, e.g. http://psi.opera.org/composers/#puccini

“The reality”

Topic map

MadameButterfly

Tosca

Lucca

Puccini

Theme id – so what?

With theme id I’m able to Connect topics in my topic map to topics in yours Download a bit of your topic map and merge with

mine Define standard topics that others might use

Theme id make topic maps global They may be connected to other topic maps

The goal: Consolidated knowledge We don’t have two topics for the same phenomenon Instead we merge the duplicates

Merging is like… Thanks to theme id it is possible to merge topics

maps automatically When to topic maps are merged, topics that represent the

same theme are merged to one topic An when to topics are merged to one, the new one gets the

sum of all attributes of the two original ones

name

occurrence

association role

T

association role

name

occurrence

association roleT

name

A second topic “about”the same subject

Merge the to topicsname

occurrence

association roleT

name

Merge the to topics…...and the new topic has the sum of all the

attributes of the two originals

BrainBank in the Knowledge universe

Aricle on

Article on

...

The brain ...

BrainBank

forskning.no

kulturnett.no

contains

Belongs to

containsThe heart

biology

The brain

The body

biologyBotanical garden

Example of

LOM search

LOM search

Learning paths

Each student builds his or her own “brainbank” The brainbanks are merged within a project Projects expose their brainbanks, e.g. as

XTM (without any editing) These multiple brains banks could be

merged into other web sites

A brainbank with your own material could be shared as a learning object

And some time the small world and the big world will meet…

My knowledge Our knowledge The knowledge corpuses stored

in Digital libraries

..and I’ll be in Scotland before you