LMS vs Remote experiments

Loading...

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

0 comments

Post a comment

    Post a comment
    Embed Video
    Edit your comment Cancel

    Favorites, Groups & Events

    LMS vs Remote experiments - Presentation Transcript

    1. Integrating Learning Management Systems and Practical Learning Activities: The case of Computer and Network Experiments Amine Bouabid, Philippe Vidal, Julien Broisin IRIT, Université Paul Sabatier, Toulouse
    2. Context  Computer Engineering Education  Practical learning activities based on remote hands-on lab works  Not reinventing the wheel: reuse of existing systems Learning Management Systems to deliver activities Test bed systems based on virtualization technologies (vmware, xen, …)  Synchronous and asynchronous tutoring  Collaborative learning Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 2
    3. Objectives  Integrate test bed systems into learning management systems : Practical activities as others types of learning activities Remote labs as others pedagogical resources  Allow an efficient (distant) synchronous / asynchronous tutoring  Allow collaborative learning around practical activities  Transparently offer practical activities  Ensure Learning Effectiveness of this type of learning activities Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 3
    4. Issues to solve [IEEE09]  Ensure transparent communication between learning environments and remote labs  Collect tracking information about learners’ activities, but also data related to remote labs  Retrieve/Share this tracking information between heterogeneous tools to allow their reuse by teachers, learners, etc.. Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 4
    5. Outline  Test bed environments: the state of the art  Communication between learning environments and remote experimentation environments  Collecting learners’ activities and monitoring evolution of remote experiments  A distributed architecture to gather, retrieve and share tracking information  Conclusion and future work Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 5
    6. Existing Test Bed environments Internet Internet Remote users Remote users Physical server (Test Bed System) Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 6
    7. Existing control tools for remote experiments ≠ Learning tools Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 7
    8. Outline  Test bed environments: the state of the art  Communication between learning environments and remote experimentation environments  Collecting learners’ activities and monitoring evolution of remote experiments  A distributed architecture to gather, retrieve and share tracking information  Conclusion and future work Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 8
    9. Communication between Learning Environments and Remote experiments Proposal: Introducing an intermediate layer LEARNING ENVIRONMENT INTERMEDIATE LAYER EXPERIMENTATION ENVIRONMENT M A L N E A A G R E N M I E N N G T I S N O Y T F S E MiddleWare VIRTUALISATION T R E F SYSTEM E X M A P C . E TEST BED Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 9
    10. Outline  Test bed environments: the state of the art  Communication between learning environments and remote experimentation environments  Collecting learners’ activities and monitoring evolution of remote experiments  A distributed architecture to gather, retrieve and share tracking information  Conclusion and future work Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 10
    11. A Model Driven Approach to monitor learners’ activities AND experiments  Modeling based on the DMTF's WBEM standard offering: The CIM meta model (Common Information Model): representation of entities to monitor (experiments + learners activities) The CQL language to interact with the model A distributed architecture and communication protocols to ensure interoperability between heterogeneous components Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 11
    12. Modeling of Experiments  Reuse of the existing DMTF's models: Computer Systems modeling (Operating System, h hardware, Software, configuration, etc.) Networking modeling (interfaces, protocols, etc.) N Network topology and architecture modeling Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 12
    13. Modeling of learners’ activities  Based on previous works of our research team, related to the observation of learners' activities in a Technology Enhanced Learning environment  Extension that takes into account specific activities operated on computer and network experiments: “Command line” activities “Graphical User Interface” activities Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 13
    14. Learners activities modeling DMTF Broisin & Vidal, 07 Our extension Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 14
    15. Outline  Test bed environments: the stat of the art  Communication between learning environments and remote experimentation environments  Collecting learners’ activities and monitoring evolution of remote experiments  A distributed architecture to gather, retrieve and share tracking information  Conclusion and future work Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 15
    16. A distributed architecture to gather, retrieve and share tracking information  A centralized system (WBEM Server) to store classes and instances of the models: tracking repository  A component integrated into the test bed environment responsible for extraction and sending of traces to the tracking repository  A component part of the learning environment able to capture and forward learners’ activities Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 16
    17. A distributed architecture to gather, retrieve and share tracking information EXPERIMENTATION ENVIRONEMENT LEARNING ENVIRONMENT INTERMEDIAITE LAYER O L B I T E S M S N R A R B E R E R W W T E A C N OpenPegasus N D B B A I O V V R K A E E G A A I F I N S M M E TRACKING R T C A N G S H R REPOSITORY D I E C G Y O E M S N A T N E A M I E I I G N A X N O N V E T F G P T CIM PROVIDER T I M E E E E E R E R E N R R R T N F X T I F VIRTUALISATION F U T A P. M A SYSTEM A A C E C C L E N E E T TEST BED C++ based WEB SERVICES MLN Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 17
    18. Outline  Test bed environments: the state of the art  Communication between learning environments and remote experimentation environments  Collecting learners’ activities and monitoring evolution of remote experiments  A distributed architecture to gather, retrieve and share tracking information  Conclusion and future work Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 18
    19. Conclusion  Standardized approach for transparent integration of Learning Environment and Test bed Environment  Enhancement of learning and tutoring processes: Abstract modelling of experiment Abstract modelling of activities on experiments  Architecture validated through an open source based prototype  A three-tier architecture scalable to N-tiers architecture to ensure scalability and high availability Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 19
    20. Future Works  Dashboard implementation  Experimentation with a group of students in computer science curriculum (ex. configuring n network's components)  Reuse and share of experiments' models through a learning knowledge pool  Supporting GUI mode based activities  Applying this approach to other disciplines ( (Physics, Chemistry, etc.) Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 20
    21. Questions ? Contacts: {bouabid,vidal,broisin}@irit.fr Amine Bouabid, Philippe Vidal, Julien Broisin, ICALT 09, July 17, 2009, Riga, Latvia 21
    SlideShare Zeitgeist 2009

    + Julien BroisinJulien Broisin Nominate

    custom

    177 views, 0 favs, 0 embeds more stats

    ICALT 2009 presentation

    More info about this document

    CC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike License

    Go to text version

    • Total Views 177
      • 177 on SlideShare
      • 0 from embeds
    • Comments 0
    • Favorites 0
    • Downloads 5
    Most viewed embeds

    more

    All embeds

    less

    Flagged as inappropriate Flag as inappropriate
    Flag as inappropriate

    Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

    Cancel
    File a copyright complaint
    Having problems? Go to our helpdesk?

    Categories