EMOOCs 2014 Research Track 1_Leony_Scaffolding

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    Towards an Outcome-based Discoveryand Filtering of MOOCs using moocrank

    Israel Gutirrez-Rojas, Derick Leony , Carlos Alario-Hoyos,Mar Prez-Sanagustn, Carlos Delgado-Kloos

    [email protected]

    Lausanne, 10th February 2014

    mailto:[email protected]:[email protected]
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    Large MOOC offerings that hinder thediscovery of relevant MOOCS

    http://www.flickr.com/photos/28668804@N00/2842301423

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    Different descriptions to defineLearning Outcomes (LO)

    http://www.flickr.com/photos/rnair/379547060

    Learn to Program @ Coursera

    Programming Languages @ Udacity

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    Taking advantage of previous work

    http://www.flickr.com/photos/rnair/379547060

    statements of what a learner knows,understands and is able to do on

    completion of a learning process

    Outcomes Best practices and recommendations Open ICOPER Content Space

    Concepts Intended Learning Outcomes Achieved Learning Outcomes

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    Need for a common taxonomy

    Focusing on intended LO places learners needs in center ofprocess (Crespo et al., 2010)

    Integration of a common taxonomy as a solution to improveawareness of MOOCs and platforms

    Survey of 70 people based in Spanish showed than more than

    half didnt know common platforms

    How to facilitate outcome-based discovery of MOOCs?

    http://www.flickr.com/photos/28668804@N00/2842301423

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    Requirements specified

    Identify MOOC learning outcomes and map them withtaxonomy

    Manage users profiles based on intended LO

    Support the discovery of MOOCs based on profiles

    Filter MOOCs based on users profiles

    http://www.flickr.com/photos/28668804@N00/2842301423

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    Architecture

    http://www.flickr.com/photos/30581648@N00/4721135346

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    Learning outcomes profile

    http://www.flickr.com/photos/jepoirrier/349613923

    Taxonomy: CSC2013 in InLOC

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    MOOC recommendation

    http://www.flickr.com/photos/howardlake/11314620234

    Coursera

    edX Udacity

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    Discussion

    Existing solutions for MOOC aggregation (ClassCentral,CourseTalk)

    Other solutions propose learning paths (MyEducationPath,SkillAcademy)

    Ease of application for other domains

    Classification approach is applicable to other resourcesbesides MOOCs

    Crowdsourcing approach brings pros and conshttp://www.flickr.com/photos/boellstiftung/6322064224

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    Next steps

    Include social features: Rank courses Comment about experience Feedback about professor, contents and learning pace

    Improve usability of the tool

    Collecting dependencies between courses

    Exploring application for learning at the workplace

    http://www.flickr.com/photos/tobanblack/3251282019

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