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MOOC and Synthetic Cognition: non-technological challenges on the road

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In this presentation are identified some of the new knowledge landscape trends (i.e. artificial intelligence, automated skills recognition tools, increasing demand for HE). The current knowledge recognition strategies implemented in the context of MOOCs open the landscape to explore more flexible ways of application and recognition of knowledge, regardless if it developed in formal or informal settings.

Name of the event: International MOOC Colloquium - 2nd Edition - The MOOC Identity #MOOCidentity organized by Federica Web Learning - Università degli Studi di Napoli Federico II

More information: @cristobalcobo

Published in: Education
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MOOC and Synthetic Cognition: non-technological challenges on the road

  1. 1. @cristobalcobo 💾 Knowledge is Changing MOOC and B synthetic intelligence B 240
  2. 2. UNESCO 2007, UNESCO Forum 2011
  3. 3. University of Kansas
  4. 4. ‘Stop predicting the future. Leave that to the robot who's going to steal your job’ (Jess Zimmerman, 2014)
  5. 5. Frey, C. B. y Osborne, M. A. (2013). The future of employment:
  6. 6. Source: Kevin Kelly | 12 Inevitable Tech Forces That Will Shape Our Future | SXSW InteracOve 2016 hQps://www.youtube.com/watch?v=pZwq8eMdYrY
  7. 7. hQps://www.theguardian.com/science/2016/sep/01/how-algorithms-rule-our-working-lives
  8. 8. Are working for human resource software?
  9. 9. •  Knowledge as a commodity, is produced, sold, bought and consumed in a se^ng where market, producOon efficiency, price and markeOng plays a key role commodification of knowledge & knowledge as a currency
  10. 10. Data-driven learning: •  Learning analy1cs and adap1ve (or personalized) learning. commodification of knowledge & knowledge as a currency Credits valida1on: •  Repurposing MOOC contents for imporOng in campus-based courses •  Gran1ng credits from MOOC into larger degrees •  Digital badge: a validated indicator of accomplishment earned in hybrid learning environment Evalua1on: •  Credit for prior learning •  Flexible assessment strategies (signature track, machine-graded examinaOons). •  Learners authen1ca1on: Students monitored throughout the exam via webcam, (tesla-project.eu) •  Analysis of a student’s learning ac1vi1es using Ar1ficial Intelligence in EducaOon (AIEd) socware (Pearson)
  11. 11. If you torture the data long enough, it will confess to anything Darrell Huff's (1954) Mooc
  12. 12. "knowledge as a commodity"
  13. 13. "knowledge as a commodity"
  14. 14. "knowledge designers" learning to know <asses what we know> learning to do <asses what we do> knowledge skills learning to learn ‘non disposable knowledge’
  15. 15. Mooc Mooc Mooc Mooc
  16. 16. Questions for further conversations: •  What are we missing only delivering pdf and videos? •  How to offer education that open up the interest to continue learning? •  Can we reduce the gap between skill demand and education supply? •  WHAt capabilities are increasingly being replaced by ‘synthetic cognition’ (searching, selecting, organizing, recognition)? •  Disruption is not in the technology used but in focusing more in heutagogy rather than (only) on pedagogy
  17. 17. Are MOOC ready to respond to this changing knowledge landscape? @cristobalcobo

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