PLEs and textmining for lifelong learning

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Personal learning environments (PLE) combined with natural language processing is an explosive combination: it can be used to provide guidance and instant feedback. This presentation describes the …

Personal learning environments (PLE) combined with natural language processing is an explosive combination: it can be used to provide guidance and instant feedback. This presentation describes the framework developed within the European Commission funded language technology for lifelong learning (LTfLL) project.

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  • 1. WP 2: Infrastructure Fridolin Wild, Thomas Ullmann, Bernhard Hoisl OU | The Open University 2 , WU | Vienna University of Economics and Business Katja Buelow (OU), Robert Koblischke (WUW), Markus Essl (BIT MEDIA), Traian Rebedea (PUB-NCIT), Vlad Posea (PUB-NCIT), Thomas Markus (UU), Eline Westerhout (UU), Sonia Mandin (UPMF), Hendrik Drachsler (OUNL), Gaston Burek (UTU), Hristo Kostov (IPP-BAS), Alex Simov (IPP-BAS)
  • 2. Objectives
    • O1 | Integration guidelines
    • O2 | Access to language technology resources
    • O3 | Adaptation of existing language technology
    • O4 | Service integration (from WP4-6)
    • O5 | Technical validation of the services
    # Task 1: PLE Task 2: LT
  • 3. PLEs
    • A landscape of tools (institutionally offered or personally chosen) that brings a learner together with others and content artefacts in activities that support in constructing and processing information and knowledge.
  • 4. Competences motivated by PLEs
    • Planning competence refers to those skills, abilities, habits, attitudes, and knowledge that fix how goals, schedules, and paths are set.
    • Reflection is creative sense making of the past and enables planning.
    • Monitoring refers to how progress control is performed.
    • Last but not least, the pair acting and interacting group social & collaboration and information & tool competences.
    (Wild et al., 2009) Qualitative Interviews with stakeholders (learners, facilitators, learning designers, researchers): 15 persons in 5 sessions (each 40 min to 1 hour) # plan reflect monitor act interact
  • 5. PLE Architecture Users involve in use-cases . Each case deploys widgets in support of the given task. Widgets use infrastructure services & data (from within the PLE container or from the Web 2.0). A directory serves the management and deployment of the portfolio. Interoperability standards secure the flexible recombination of widgets, services, and data. #
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  • 13. LTfLL PLE # + (Wild et al., 2009b; Wild et al., 2010)
  • 14. PLE runtime container directory service DPpedia WP 6 fossa RSS transf CONSPECT #
  • 15. Interwidget Communication # +
  • 16. Example of Interwidget Communication #
  • 17. Authentication
    • openID to avoid lock-in
    • Challenges for protected exchange of data
  • 18. Corporate Design & Localisation
    • Example:
    • Pensum
  • 19. Next steps: Widget Arrangements
    • Model dependencies (by type, by token)
    • Patterns and Pattern Exchange
    • Set-Up and wiring with IWC
    # thread1 PenSum Conspect PolyCAFe PenSum PenSum PenSum PolyCAFe PolyCAFe
  • 20. Achievements
    • Service integration of WP4/5/6 into one PLE (side by side)
    • Documentation of services of WP4/5/6
    • Complete rewrite of Elgg plug-in
    • Apache Wookie extensions
    • Interwidget communication
    • OpenID authentication mechanisms
    • Corporate Design
    • Localisation facilities
    • Started: widget arrangements Explored: deep integration
  • 21. Impact
    • Elgg plug-in
      • three public releases: 2.0, 2.1, 2.2
      • 2.3 is being prepared
      • 440 downloads as of April 22, 2010
    • Wookie server
      • fork released
      • Apache incubator workshop planned, negotiating with the Apache Software Foundation
    • Workshop MUPPLE’09 at EC-TEL
    • Special Issue on Mash-Up Personal Learning Environments in the International Journal of Technology Enhanced Learning (May 21 st )
  • 22. Conclusion
    • The upcoming threads will supervise us in deepening interoperability of the PLE/LT services
    Task 1: PLE Task 2: LT
  • 23. Questions? Comments? Add-ons #
  • 24. PLE Implementation Strategies
    • Coordinated Use
      • e.g. with the help of browser bookmarks to involved web apps
    • Simple Connectors for Data Exchange and service interoperability
    • Abstracted Connectors that form Conduits
      • e.g. those supported by the social browser Flock
      • e.g. by the service-oriented PLE Plex
      • (Wilson et al., 2007)