Mod

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66th EAGE Conference Paris June 7-10. 2004
The Organization and Use of Learning Objects for
Knowledge Management
by Dr Gilbert Paquette CIRTA-LICEF Research
Center Télé-université, Montréal http//licef.telu
q.quebec.ca/gp
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Some Bookmarks
Books (5) AI and KB systems - Knowledge Modeling
- Instructional Engineering Research Knowledge
representation - Adaptive advisors - Virtual
learning centers - Instructional
Engineering Tools MOT, MISA, ADISA,
Explor_at_ Affiliations Télé-universités Research
Center (LICEF) - CIRTA Founder - Canada Research
Chair on CIE - President of Cogigraph Technology
DIR. Of the LORNET research network
Collaborations DMR, B. of M, Eduplus,
Hydro-Quebec, Canadian DoD, Armstrong Lab, ABL,
GDC, CAE, BGW, NOVASYS, Teleglobe,
Bell-Technomedia, CNET
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Linked Concepts

• Knowledge Management
• Intellectual Capital
• Learning Organization
• Business Intelligence
• Organic Firm
• Process re-engineering
• Decision support
• Competency Management

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A Growing Reality

• From 1997 to 1998, organizations involved in KM
  has grown from 28 to 51!
• Knowledge Management Special Report, May 1998,
  Delphi Group, Boston
• 1998, one third had KM initiative ongoing,
  another third were preparing one
• KPMG Study in 25 companies
• 2002 80 of 158 Fortune 1000 companies have a KM
  programs
• Conference Board and American Management
  Association survey

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Why Knowledge Management?

• Enterprises realize how important it is to know
  what they know.
• Knowledge is scattered in and outside the
  organization,
• In databases, documents, medias
• In peoples heads
• Knowledge takes time to acquire
• Early retirements and increasing mobility are
  reducing the available knowledge owners
• Knowledge grows exponentially and must be
  assimilated at an ever faster rate
• Life-long learning is an inescapable reality

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Hidden and Tacit Knowledge

• Available information
• Explicited knowledge structured information
• Tacit knowledge not yet externalized
• (chunking phenomena)
• Hidden information
• Unmined information or databases
• Unidentified important information

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Information and knowledge
Knowledge Engineering
Instructional Engineering
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Knowledge Engineering

• A methodology to transform information into
  usable knowledge
• Goal Knowledge Elicitation, Representation and
  Use
• Phases
• Process planning
• Knowledge identification (using documents and
  interview techniques)
• Knowledge conceptualization (Modeling)
• Knowledge formalization (In XML, Data bases,)
• Structured information access (through a
  computarized system)

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Knowledge Modeling
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MOT Modeling
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Instructional Engineering

• Making knowledge available to people through
  competency building
• A systemic methodology
• Knowledge, skills, competency definition
• Instructional strategies and activities
• Media selection, adaptation, construction
• Delivery processes

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MISA
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Learning Objects and Interoperability

• A learning object is any entity, digital or
  non-digital, that can be used, re-used, or
  referenced during technology-supported learning.
  (IEEE LTSC 2000)
• Includes materials, tools, services, persons,
  events
• Not necessarily digitized, include printed, lab
  material
• Used not only by learners, but also other actors
• Includes activity descriptions, instructional
  structure, learning or assistance scenarios.

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Delivery models and Blended Learning
Communities of practice
Distributed Classroom
Online Coaching
Learning Portals
EPSS
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Metadata Towards the Semantic Web

• Knowledge Objects (Resources) are described by
  their Metadata properties and types of objects
• Metadata is a basis for a Semantic Web
  description of objects or resources
• Need to be completed by an ontology concepts
  relations axioms to provide intelligent search
  and processing of content

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Building LO Repositories
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Referencing Learning Objects
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Integrating and Using LOs
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A Multi Actor Workflow Interface
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Conclusion

• We have entered the knowledge economy knowledge
  is the main asset.
• Knowledge management is common sense, but it is
  not yet common practice.
• We need instrumentation
• for Knowledge Engineering To capture knowledge
  assets
• For Learning Object Repositories organizing
  knowledge assets
• For Instructional Engineering to plan ways to
  use knowledge to increase competency
• For Knowledge Delivery on the Web

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The Benefits

• Knowledge gain for employee and organization
• Identify knowledge gaps and risks to company
  development and jobs
• Collective project, enabling more communication
  between employees
• Retain and value knowledgeable personnel
• Justified and well understood actions
• Better product linked to customers needs

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66th EAGE Conference Paris June 7-10, 2004
Web- Based Learning is the Future of Education
and Training
Gilbert Paquette http//licef.teluq.quebec.ca/gp