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BIG

BIG . (and often messy) Data. Grousings. How do we use data from multiple educational (formal and informal) experiences to create learner portfolios that span a person’s life? How do we use data to compare different instantations of experiences (e.g. courses at different universities ).

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BIG

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  1. BIG (and often messy) Data

  2. Grousings • How do we use data from multiple educational (formal and informal) experiences to create learner portfolios that span a person’s life? • How do we use data to compare different instantations of experiences (e.g. courses at different universities)

  3. Envisioning Impacts • Well documented “back end” data, i.e. data dictionaries. • Interface with industry (accessing data, e.g. Google, LMS) • Identifying conferences and common “message” • Preparing next generation of data scientists • Making educational data useful for various stakeholders. • Data management guidance for future cyberlearningprojects

  4. What Should We Do Next? • Match making • LinkedIn Community • Communicate with Industry • Pearson, Scholastic • CAST • iCorp, SBIR • Silicon Valley Meeting working meeting (Jan, 2014) Start in Sept / October)

  5. What Should We Do Next? • ICLS Meeting Symopsium • SIIA EdTech Meeting (May, 2014) • GDC (Game Developers, March 2014) • Educause Meeting Symposium (2014) • Develop FAQ’s(?)/Checklist(?) for Cyberlearning Proposers • Ed tech accelerator at CIRCL. (As a resource to, at least, SBIR and iCorps programs and SIIA)

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