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Learning Object Virtualization Allowing for Learning Object Assessments and  Suggestions for Use Olivier CATTEAU, Philippe...
Outline <ul><li>Learning Object Assessments and Suggestions for Use </li></ul><ul><li>Research Issues </li></ul><ul><li>Pr...
Annotations <ul><li>LOM Annotation Category </li></ul><ul><ul><li>« enable educators to share their assessments of learnin...
LO & Metadata Lifecycle Production Diffusion Use Re-Authoring Termination [ICALT ’ 06] Why assesments?
Production Ready-to-use Learning Object Are annotations objective? Production Diffusion Use Re-Authoring Termination Autho...
Diffusion LOR <ul><li>Learning Object Assessments </li></ul><ul><ul><li>Help teachers to build a curriculum </li></ul></ul...
Diffusion & Use LOR <ul><li>Learning Object Assessments </li></ul><ul><ul><li>Help teachers to build a curriculum </li></u...
Re-authoring (Feedback step) LOR User comments Improve Learning Object content, form or description Production Diffusion U...
What ’ s in the reality?
Existing Reviewing Systems MemoNote Azouaou & Desmoulins, A Flexible and Extensible Architecture for Context-Aware Annotat...
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems
Existing Reviewing Systems Qualitative &/or quantitative peer review with criteria by a domain expert User comments &/or q...
Existing Reviewing Systems Synthesis LOR Quantitative Review Qualitative Review Evalutech NO Peer review by domain expert ...
Issues <ul><li>Need for sharing and reusing peer reviews, comments and suggestions for use </li></ul><ul><ul><li> Informa...
Issues <ul><li>Systems elaborated to manage assessments differ from the system used to learn and teach </li></ul>
Proposed approach <ul><li>Collection of annotations through a LMS </li></ul><ul><li>Storage of annotations within metadata...
Modified Annotation Category 8. Annotation 8.3 Description 8.2 Date 8.1 Entity 8. Annotation 8.3 Description 8.2 Date 8.1 ...
Closer to the end user The LOV Design Search Importation Indexation Generation Specific API 1 Federation Layer Integration...
Benefits <ul><li>Annotations: </li></ul><ul><ul><li>are added when they become relevant </li></ul></ul><ul><ul><li>can be ...
Implementation Search Importation Indexation Generation Specific API  Federation Layer Integration Layer Virtualization La...
LO evaluations within the LMS Fast global evaluation Detailed evaluation Annotation Types: ●  global ●  suggestion for use...
Annotation submission sequence : USER LMS AMS AWS KPS 1. Fill annotation form 2. Deliver annotation 3. Generate vCard, rol...
Conclusion <ul><li>Share and reuse of annotations </li></ul><ul><ul><li>An open architecture that facilitates LO assessmen...
Perspectives <ul><li>Modifications applied to the Annotation category should be adopted by consensus </li></ul><ul><li>Ann...
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Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 1 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 2 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 3 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 4 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 5 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 6 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 7 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 8 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 9 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 10 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 11 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 12 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 13 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 14 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 15 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 16 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 17 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 18 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 19 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 20 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 21 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 22 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 23 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 24 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 25 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 26 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 27 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 28 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 29 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 30 Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT Slide 31
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Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT

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Works presented in this paper offer teachers and learners the opportunity to express their learning objects assessments and suggestions for use directly from a learning management system, and to store these annotations within a learning object repository. Annotations are thus stored when and where they become relevant. Thanks to an open and standardized architecture, these annotations can be widely shared and exploited in various contexts such as re-authoring, curriculum designs, or learning object retrieval. Indeed, annotations can represent a basis for a (personalized) quality-based sorting mechanism helping users to find and reuse learning resources that match with their preferences. An implementation focusing on Moodle and the Ariadne Knowledge Pool System validates our approach.

Olivier Catteau, Philippe Vidal, Julien Broisin. Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use. Dans : IEEE International Conference on Advanced Learning Technologies (ICALT 2008), Santander, Espagne, 01/07/2008-05/07/2008, IEEE, p. 579-583, juillet 2008.

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Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use - 2008 ICALT

  1. 1. Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use Olivier CATTEAU, Philippe VIDAL, Julien BROISIN Institut de Recherche en Informatique de Toulouse
  2. 2. Outline <ul><li>Learning Object Assessments and Suggestions for Use </li></ul><ul><li>Research Issues </li></ul><ul><li>Proposed Approach </li></ul><ul><li>Implementation </li></ul><ul><li>Conclusion and perspectives </li></ul>
  3. 3. Annotations <ul><li>LOM Annotation Category </li></ul><ul><ul><li>« enable educators to share their assessments of learning objects, suggestions for use, etc. » </li></ul></ul><ul><ul><li>IEEE-LTSC, 1484.12.1-2002, IEEE Standard for Learning Object Metadata </li></ul></ul>
  4. 4. LO & Metadata Lifecycle Production Diffusion Use Re-Authoring Termination [ICALT ’ 06] Why assesments?
  5. 5. Production Ready-to-use Learning Object Are annotations objective? Production Diffusion Use Re-Authoring Termination Authoring Tools Metadata Author + Annotations LOR
  6. 6. Diffusion LOR <ul><li>Learning Object Assessments </li></ul><ul><ul><li>Help teachers to build a curriculum </li></ul></ul>Production Diffusion Use Re-Authoring Termination Learning Management System Editing teacher
  7. 7. Diffusion & Use LOR <ul><li>Learning Object Assessments </li></ul><ul><ul><li>Help teachers to build a curriculum </li></ul></ul><ul><li>Suggestions for Use </li></ul><ul><ul><li>Avoid pedagogical mistakes </li></ul></ul><ul><ul><li>Help building a learning design </li></ul></ul>Production Diffusion Use Re-Authoring Termination Learning Management System Teacher
  8. 8. Re-authoring (Feedback step) LOR User comments Improve Learning Object content, form or description Production Diffusion Use Re-Authoring Termination Teacher Student Learning Management System Subject Matter Expert Peer reviewing Suggestions for Use
  9. 9. What ’ s in the reality?
  10. 10. Existing Reviewing Systems MemoNote Azouaou & Desmoulins, A Flexible and Extensible Architecture for Context-Aware Annotation in E-Learning, ICALT ’ 06 LOR
  11. 11. Existing Reviewing Systems
  12. 12. Existing Reviewing Systems
  13. 13. Existing Reviewing Systems
  14. 14. Existing Reviewing Systems
  15. 15. Existing Reviewing Systems
  16. 16. Existing Reviewing Systems
  17. 17. Existing Reviewing Systems
  18. 18. Existing Reviewing Systems Qualitative &/or quantitative peer review with criteria by a domain expert User comments &/or quantitative evaluation Suggestions for use Evaluation Criteria according to LO types LOR Learning Management System
  19. 19. Existing Reviewing Systems Synthesis LOR Quantitative Review Qualitative Review Evalutech NO Peer review by domain expert Harvey Project NO Peer review + Classroom testing LORI Peer review MERLOT Peer review (2 domain experts) Member comments Wisconsin Online Public comments
  20. 20. Issues <ul><li>Need for sharing and reusing peer reviews, comments and suggestions for use </li></ul><ul><ul><li> Information stored in metadata </li></ul></ul><ul><ul><li> The LOM Annotation Category has to be improved </li></ul></ul>8. Annotation 8.3 Description 8.2 Date 8.1 Entity Teacher ? Student ? Subject Matter Expert? Global ? Criterion? Suggestion for Use? Quantitative evaluation?
  21. 21. Issues <ul><li>Systems elaborated to manage assessments differ from the system used to learn and teach </li></ul>
  22. 22. Proposed approach <ul><li>Collection of annotations through a LMS </li></ul><ul><li>Storage of annotations within metadata and LOR </li></ul>LOR Learning Management System
  23. 23. Modified Annotation Category 8. Annotation 8.3 Description 8.2 Date 8.1 Entity 8. Annotation 8.3 Description 8.2 Date 8.1 ’ Contribute 8.1 ’.1 Entity 8.4 Annotation Type 8.5 Quality Level 8.1 ’.2 Role
  24. 24. Closer to the end user The LOV Design Search Importation Indexation Generation Specific API 1 Federation Layer Integration Layer Virtualization Layer Specific API 2 LOR 1 LOR 2 LOR WEB SERVICES PHP Storage of Learning Objects & Metadata PHP LOM ++ LOM ++ LMS 1 LMS 2 SOAP/HTTP Annotation ● Peer review ● Comments ● Comments ● Suggestion for use Subject Matter Expert ● Import ● Import Teacher ● LO selection Student ● Use ● Use
  25. 25. Benefits <ul><li>Annotations: </li></ul><ul><ul><li>are added when they become relevant </li></ul></ul><ul><ul><li>can be shared from several LMS </li></ul></ul><ul><ul><li>can be stored on multiple LOR </li></ul></ul><ul><li>Criteria can be customized depending on the user role </li></ul><ul><li>LO selection can be improved (quality-based sorting) to build a courseware </li></ul><ul><li>Teachers avoid pedagogical mistakes </li></ul>
  26. 26. Implementation Search Importation Indexation Generation Specific API Federation Layer Integration Layer Virtualization Layer KPS ARIADNE WEB SERVICES PHP Storage of Learning Objects & Metadata LOM Annotation Moodle Roles: ● administrator ● course creator ● editing teacher ● teacher ● student ● guest + subject matter expert SOAP/HTTP
  27. 27. LO evaluations within the LMS Fast global evaluation Detailed evaluation Annotation Types: ● global ● suggestion for use ● content quality ● effectiveness ● ease to use
  28. 28. Annotation submission sequence : USER LMS AMS AWS KPS 1. Fill annotation form 2. Deliver annotation 3. Generate vCard, role, LOR location, LO id 4. Send annotation information 5. Update LO metadata
  29. 29. Conclusion <ul><li>Share and reuse of annotations </li></ul><ul><ul><li>An open architecture that facilitates LO assessments & suggestions for use </li></ul></ul><ul><ul><li>Annotations are submitted and retrieved when and where they become relevant </li></ul></ul><ul><li>June, 26 th 2008 </li></ul><ul><ul><li>19798 materials </li></ul></ul><ul><ul><li>2599 peer reviews </li></ul></ul><ul><ul><li>5736 comments </li></ul></ul><ul><ul><li>1218 assignments </li></ul></ul>
  30. 30. Perspectives <ul><li>Modifications applied to the Annotation category should be adopted by consensus </li></ul><ul><li>Annotation types adapted to the user role </li></ul><ul><li>Criteria customized according to the LO type </li></ul><ul><li>In situ annotations </li></ul><ul><li>Personal Annotations </li></ul>
  31. 31. Thanks for your attention

Works presented in this paper offer teachers and learners the opportunity to express their learning objects assessments and suggestions for use directly from a learning management system, and to store these annotations within a learning object repository. Annotations are thus stored when and where they become relevant. Thanks to an open and standardized architecture, these annotations can be widely shared and exploited in various contexts such as re-authoring, curriculum designs, or learning object retrieval. Indeed, annotations can represent a basis for a (personalized) quality-based sorting mechanism helping users to find and reuse learning resources that match with their preferences. An implementation focusing on Moodle and the Ariadne Knowledge Pool System validates our approach. Olivier Catteau, Philippe Vidal, Julien Broisin. Learning Object Virtualization Allowing for Learning Object Assessments and Suggestions for Use. Dans : IEEE International Conference on Advanced Learning Technologies (ICALT 2008), Santander, Espagne, 01/07/2008-05/07/2008, IEEE, p. 579-583, juillet 2008.

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