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Adaptive Micro Learning - Using Fragmented Time to Learn

Book


Abstract


  • This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.

Authors


  •   Sun, Geng (external author)
  •   Shen, Jun
  •   Lin, Jiayin (external author)

Publication Date


  • 2020

Citation


  • Sun, G., Shen, J. & Lin, J. (2020). Adaptive Micro Learning - Using Fragmented Time to Learn. Singapore: World Scientific Publishing.

International Standard Book Number (isbn) 13


  • 9789811207457

Number Of Pages


  • 152

Place Of Publication


  • Singapore

Abstract


  • This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.

Authors


  •   Sun, Geng (external author)
  •   Shen, Jun
  •   Lin, Jiayin (external author)

Publication Date


  • 2020

Citation


  • Sun, G., Shen, J. & Lin, J. (2020). Adaptive Micro Learning - Using Fragmented Time to Learn. Singapore: World Scientific Publishing.

International Standard Book Number (isbn) 13


  • 9789811207457

Number Of Pages


  • 152

Place Of Publication


  • Singapore