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Lessons from LOM for eLearning Standardization

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Title: Lessons from LOM for eLearning Standardization


1
Lessons from LOM for e-Learning Standardization
  • Dr. Norm Friesen
  • Presented at
  • International Open Forum Global trends of
    e-Learning - Policies, technologies, and
    application. Tokyo, March 14, 2005

2
Outline
  • LOM what is it, how where is it implemented
  • Overview of LOM implementation surveys
  • Survey Results
  • Lessons for Standardization

3
LOM Learning Object Metadata
  • IEEE 1484.1.1 2002 facilitates search,
    evaluation, acquisition, and use of learning
    objects, for instance by learners or instructors
    or automated software processes.
  • It also facilitates the sharing and exchange of
    learning objects, by enabling the development of
    catalogs and inventories.
  • aims at instructional neutrality (Blandin 04)

4
Learning Object Metadata
  • 77 Elements 9 Categories
  • Element
  • Iteration
  • vCard
  • Dublin Core (16)

5
Defining Learning Objects
6
Defining Learning Objects
7
Defining Learning Objects
8
Defining Learning Objects
9
LOM Implementation
  • Japan METI, MEXT, ALIC (Hirata, 2004)
  • Canada CanCore (Oncore, ABCore)
  • UK LOM Core
  • Singapore SingCORE
  • China CELTSC
  • EU Celebrate, ARIADNE,
  • Application profile A set of metadata
    elements, policies, and guidelines defined for a
    particular application.

10
Opportunity for survey analysis
  • Local Surveys
  • Hey, J.M.N., Currier, S. Barton, J. (2003).
  • Kabel, S., de Hoog, R., Wielinga, B.J. (2003).
  • Najjar, J., Ternier, S. Duval, E. (2003).
  • International Surveys
  • Canada Finland, (2003) How people planned to
    use the LOM.
  • Canada, (2004) How the LOM and its elements are
    actually used

11
Preliminary Survey findings
  • Many of the elements selected for use are in the
    Dublin Core Element Set
  • Educational elements are not often selected for
    use
  • LOM structures elements for 9Classification
    are utilized very effectively and precisely.
  • Problems with vCard encoding and elements

12
Final Survey Sample sets used
  • Sets of records varying in size from 75 to over
    3000 50 randomly selected from each (n250)
  • ARIADNE Project (EU)
  • the LTSN (UK)
  • Metalab (France)
  • CELTS (China)
  • CAREO (Canada)
  • Public sector private commercial sector records
    more difficult to obtain
  • General education, not technical training

13
Two types of Findings
  • What elements are used?
  • What are the values assigned to these elements

14
Data Portability
  • Data portability and reuse the raison d'être of
    the LOM!
  • Conventional and low cost technologies cannot
    easily be used to realize LOM data aggregation,
    portability and reuse
  • Not at all a positive indicator for increased
    sharing and reuse between implementa-tions and
    across jurisdictions

15
Frequency of Element Use
16
Frequency of Element Use
  • The most frequently used elements (not container
    elements -tage)
  • Title, Description, Keyword
  • Format (e.g. .html, .jpg, .doc)
  • Language (human)
  • Author
  • Learning Resource Type (simulation, exercise,
    etc.)
  • Subject Classification (PurposeDiscipline)

17
Least Frequently Used Elements
18
Most and Least Used Elements
  • Least (lt 20 gt 0)
  • Duration
  • Difficulty
  • Structure
  • Granularity
  • Version
  • Structure
  • Semantic Density

19
Types of Contributors
20
Information about Contributors
21
Formats
22
Educational.LearningResourceType
23
Conclusions Elements and Values Selected
Frequently
  • The LOM is used to describe intellectual content
    of resources
  • General Identifier, Title, Description, Keyword
  • LifeCycle.Contribute (role Author and
    publisher)
  • Classification (PurposeDiscipline)
  • The LOM is used to describe file and media
    characteristics
  • Technical.Format, Technical.Size, Location
  • Educational.Learning Resource Type (text,
    hypertext, notes, etc.)

24
Conclusions Elements and Values Seldom Selected
  • LOM use does NOT emphasize description of an
    educational context or level
  • Educational.Semantic Density 0
  • Educational.Context lt20
  • EndUserRole 40
  • LOM is NOT used to describe resources in terms of
    software objects
  • Structure, Version (i.e. Alpha, Beta), Status
    lt18
  • Aggregation level lt27
  • Contribute.Role"terminator" technical
    implementer/validator 0

25
Lessons What is a learning object?
26
Lessons What is a learning object?
X
X
27
Lessons What is a learning object?
  • Has attributes of resources generally
  • Title
  • Description
  • Keyword
  • Author
  • Format, Size, Location
  • Resource Type
  • Audience

28
Lessons What is a learning object?
Core Metadata
  • Has attributes of resources generally
  • Title
  • Description
  • Keyword
  • Author
  • Format, Size, Location
  • Resource Type
  • Audience

29
Lessons What is a learning object?
  • A learning object an existing or new resource
    used and combined in ways that we already use
    resources.

30
What should Learning Resource Metadata do?
  • Be Simple Follow simplicity tests or heuristics
    - Wilson (2005)
  • "notepad test" - can you create a valid data
    instance in Notepad in less than 4k?
  • "reading test" - can you read and understand the
    basics of the specification in under an hour?
  • "scripting test" - can you create a simple client
    or service provider in a scripting language in a
    day?

31
CanCore Moving LOM in this direction
  • Online Print Guidelines

32
CanCore www.cancore.ca LOM Best Practices
  • Sharing information among LOM developers
  • Monitoring meeting userrequirements

33
Further Lessons from LOM
  • In the place of "neutral" standards, need to
    think of developing pedagogically "engaged" or
    "committed" conceptions of content and systems
    that serve existing and readily specifiable
    educational purposes, situations and methods.
    (Friesen 2004)
  • Allows for increased focus on the whats not
    confusion with new hows

34
SC36 Metadata for Learning Resources
  • adopt, correct, amend, and/or improve upon the
    technical work in a related IEEE standard called
    Learning Object Metadata
  • harmonized with the LOM
  • Canadian Principal Serve the small economies of
    scale and limited resources of educational and
    training entities and their technical
    capabilities

35
References I
  • Blandin, B. (2004). Are E-Learning Standards
    Neutral? International Conference on Computer
    Aided Learning in Engineering Education.
    http//www-clips.imag.fr/calie04/actes/Blandin_fin
    al.pdf.
  • Friesen, N. (2004). Learning Objects and
    Standards Pedagogical Neutrality and Engagement.
    Proceedings of the IEEE ICALT. learningspaces.org/
    n/papers/pedagogical_neutrality.pdf
  • Friesen, N. (2004). Final Report on the
    International LOM Survey. http//jtc1sc36.org/do
    c/36N0871.pdf http//www.cancore.ca/ppt/LOM20S
    urvey.ppt

36
References II
  • Hey, J.M.N., Currier, S. Barton, J. (2003).
    Building Quality Assurance into Metadata
    Creation an Analysis based on the Learning
    Objects and e-Prints Communities of Practice.
    2003 Dublin Core Conference Proceedings.
    http//www.siderean.com/dc2003/201_paper60.pdf
  • Hirata, K. (2004). LOM Activity Implementation
    in Japan http//mdlet.jtc1sc36.org/doc/SC36_WG4_N0
    081.pdf.
  • Kabel, S., de Hoog, R., Wielinga, B.J. (2003).
    Consistency in indexing learning objects an
    empirical investigation. ED-MEDIA 2003,
    Proceedings. http//www.aace.org/conf/edmedia/LO20
    03Symposium.pdf

37
References III
  • Najjar, J., Ternier, S. Duval, E. (2003). "The
    Actual Use of Metadata in ARIADNE An Empirical
    Analysis", Proceedings of the 3rd Annual Ariadne
    Conference. http//www.cs.kuleuven.ac.be/najjar/
    papers/EmpiricalAnalysis_ARIADNE2003.pdf
  • Wilson, S. (2005) In Praise of Simpler Standards.
    (Blog Publication/) http//www.cetis.ac.uk/members
    /scott/blogview?entry20050121223821
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