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Practical Learning Design in a Future Learning Object Economy

Practical Learning Design in a Future Learning Object Economy. Tore Hoel Norwegian eStandard project www.estandard.no. Edinburgh, Oct 23rd 2003. Top down approach. The topics of today. Knowledge corpuses in different domains. Today. Content transmission model. Social construction model.

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Practical Learning Design in a Future Learning Object Economy

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  1. Practical Learning Designin a Future Learning Object Economy Tore HoelNorwegian eStandard project www.estandard.no Edinburgh, Oct 23rd 2003

  2. Top downapproach The topics of today Knowledge corpuses in different domains Today Content transmission model Social construction model The learner'sknowledge structure of a domain The future Down up approach

  3. 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….)

  4. 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.

  5. ICT technologists Content managers and publishers Academia The educational community? The learner’s interests? E-learning community Library community Knowledge management community Who are designing e-learning? ”Learning is construction of meaning” ”Content is king”

  6. 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!

  7. 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

  8. Down up – let’s start in the classroom

  9. 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

  10. TopicMap – an ISO standard

  11. TAO of Topic Maps: Topics, Assocations… Is used for holiday Is used for car has transport wheel

  12. …and Occurences is used for holiday is used for car transport has wheel http://www.motor.no http://www.autofil.no

  13. BrainBank eaten by the Omnivorous Topic Map Navigator Live demo!

  14. The promises of ”secondary” metadata

  15. Ontology layers My perspective Our perspective(s) Their perspectives

  16. wrote Born in SNL SNL SNL SNL Hedda Gabler wrote A dolls house Skien knowledge information

  17. wrote A dolls house Born in CapLex Ibsen-senter Ibsen-senter SNL SNL Ibsen-senter Ibsen-senter SNL SNL CapLex Ibsen-senter Ibsen-senter “The reality” topicmaps wrote Nora andre emnekartflettes inn ... Krogstad Hedda Gabler Helmer Henrik Ibsen Fru Linde Dr. Rank Skien knowledge information NBL Skienkom-mune

  18. Tosca MadameButterfly Puccini Lucca 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

  19. 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

  20. occurrence Merge the to topics Merge the to topics…...and the new topic has the sum of all the attributes of the two originals occurrence occurrence name name T T T name association role name association role name association role A second topic “about”the same subject association role 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

  21. BrainBank in the Knowledge universe forskning.no BrainBank Article on ... LOM search Aricle on The brain ... contains The heart contains The body The brain Belongs to kulturnett.no biology LOM search Example of Botanical garden biology

  22. 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

  23. And some time the small world and the big world will meet… ..and I’ll be in Scotland before you The knowledge corpuses stored in Digital libraries My knowledge Our knowledge

  24. Thank you! Tore.Hoel@adm.hio.no www.estandard.no

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