Authors perspective for global learning infrastructure

Miguel Rodríguez ArtachoAsociate Professor (UNED University, Spain)

miguel@lsi.uned.es http://ltcs.uned.es

http://www.lsi.uned.es

2

It’s authoring, #####!

Cognitive DesignModel

Learning DesignModel

Conceptualization level Ontologies

Instructional templates

Instantiation level

LT specification

based contentInstances

3

student

LOR

Learning Design –based

specification

Authoring

Learning environment

link

link

link

link

From pre-SW authoring…

4

unit of study

SW

Authoring

SW enriched learning environment

exercise

involve

Is_hint

Semantic LOR

CONCEPT

PROBLEM

THEME

HINT

student

SW based knowledge acquisition &

inference

CONCEPT

HINT

CONCEPT

EXTERNAL CONTENT

DYNAMICALLY BINDED

… … to SW-based authoringto SW-based authoring

Paper on Workshop SW-EL ’06: http://www.win.tue.nl/SW-EL/2006/camera-ready/15-CDK+MRA-SWEL06-reduced%20FINAL%20v4.pdf

Information Life Cycle

AuthoringModifying

OrganizingIndexing

StoringRetrieving

DistributingNetworking

Retention/ Mining

AccessingFiltering

UsingCreating

Source: Edward Fox

Rationale • LORs are not socially aware• Not growable in a Web2.0 basis• Not fully searcheable because metadata

sometimes is not available• Only SW-based LORs are compatible with

communities of users in the social web (2.0)

Interoperability issues• Technical

– Synchronization of repositories– Architecture models (p2p, client/server, ..)– Updating and maintainance

• Social– Communities of contributors– Shared ontologies between communities– Better authoring tools

• Industry– Copyright models– LT specifications driven tools

Maybe…

• Use authoring as the killer app of e-learning• Use a new generation of authoring tools

based on layers of abstraction, NOT LT-specs driven auth tools

• Search & retrieval based on metadata elements is no longer enough for e-learning resources cataloging and operation.

LOR’s are a generalization of a Digital Library, not a particularization

Consequently

- New models to search and retrieve- IR techniques needed

- Clustering- Formal Concept Analysis

- Semantic interoperability as relevant as technical interoperability

- Users’ communities aware