Language Technologies  for Lifelong Learning JTEL Summer School, Ohrid, FYR, 2010 Traian Rebedea, Fridolin Wild, Bernhard ...
What can language technologies do for us? <ul><li>Intelligent support in two areas of  TEL : </li></ul><ul><li>help tutors...
<ul><li>„ A range of  computational techniques  for  analyzing  and  representing naturally occurring text  at one or more...
Learning and written language (‘ Building Collaborative Knowledge‘,  Stahl, 2006)
Learning Services & PLE Monitor progress  against learning  objects ,  outcomes ,  traces  of others for creative sense ma...
PLEs <ul><li>A  landscape of tools  (institutionally  offered or personally chosen) that  brings  a learner  together  wit...
PLE Architecture Users involve in  use-cases . Each case deploys  widgets   in support  of the given task. Widgets use inf...
PLE runtime container directory service DPpedia WP 6 fossa RSS transf CONSPECT http://augur.wu.ac.at/elgg
 
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PLE widgets using natural language processing

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Introductory slides to the JTEL summer school workshop on using natural language processing techniques in widgets in support of learning.

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  • I’ll briefly now touch upon how we tackled the recommendations we received from you in the past. One thing you expressed was scepticism about how the prototypes will have a positive impact on T&amp;L. We, therefore, arranged the programme of this review in a way to demonstrate this potential , and through our validation plan and efforts to show encouraging evidence from end-users. This will be discussed in the service demos. A word of caution: It’s important that one cannot put all services on the same comparative level. We developed a divers set of tools that share two common objectives – CLICK BUT: they are like forks and knives, made for different settings, and to help tackle different educational challenges. Some support learners other tutors. I believe that when you get introduced to our tools you will realise that this diversity is a strength because it allows for a number of useful combinations and applications.
  • Transcript of "PLE widgets using natural language processing"

    1. 1. Language Technologies for Lifelong Learning JTEL Summer School, Ohrid, FYR, 2010 Traian Rebedea, Fridolin Wild, Bernhard Hoisl
    2. 2. What can language technologies do for us? <ul><li>Intelligent support in two areas of TEL : </li></ul><ul><li>help tutors and teachers support learners </li></ul><ul><li>help people learn </li></ul><ul><li>with language technologies encapsulated into the right set of tools </li></ul>
    3. 3. <ul><li>„ A range of computational techniques for analyzing and representing naturally occurring text at one or more levels of linguistic analysis (e.g., morphological, syntactic, semantic, pragmatic) for the purpose of achieving human-like language processing for knowledge-intensive applications .“ </li></ul><ul><li>– AHIMA body of knowledge </li></ul>
    4. 4. Learning and written language (‘ Building Collaborative Knowledge‘, Stahl, 2006)
    5. 5. Learning Services & PLE Monitor progress against learning objects , outcomes , traces of others for creative sense making of the past and in support of future planning 1 Building and sustaining learning environments of people, artefacts, and tools involved in activities supporting construction of information and knowledge 2 Effective and efficient arranging of time , space , and resources to foster activities of constructing information and knowledge 3
    6. 6. PLEs <ul><li>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. </li></ul>
    7. 7. 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.
    8. 8. PLE runtime container directory service DPpedia WP 6 fossa RSS transf CONSPECT http://augur.wu.ac.at/elgg
    9. 10. Feedback
    10. 11. Recommendations from Social Network
    11. 12. Now it’s your time! PenSum Conspect PolyCAFe PenSum PolyCAFe PolyCAFe thread1 PenSum PenSum
    12. 13. Questions? Comments? Add-ons
    13. 14. NLP Services

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