Adaptive micro learning: using fragmented time to learn
"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 mic...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
World Scientific
[2020]
|
| Series: | Intelligent information systems
5 |
| Subjects: | |
| Summary: | "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"--Publisher's website |
| Physical Description: | 1 Online-Ressource (vi, 144 Seiten) |
| ISBN: | 9789811207464 9811207461 |
Staff View
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:30:24Z |
| indexdate | 2024-07-10T09:03:18Z |
| institution | BVB |
| isbn | 9789811207464 9811207461 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032530447 |
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| physical | 1 Online-Ressource (vi, 144 Seiten) |
| psigel | ZDB-124-WOP |
| publishDate | 2020 |
| publishDateSearch | 2020 |
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| publisher | World Scientific |
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| series2 | Intelligent information systems |
| spelling | Sun, Geng Verfasser aut Adaptive micro learning using fragmented time to learn by Geng Sun, Jun Shen, Jiayin Lin Singapore World Scientific [2020] 1 Online-Ressource (vi, 144 Seiten) txt rdacontent c rdamedia cr rdacarrier Intelligent information systems 5 "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"--Publisher's website Educational innovations Artificial intelligence / Educational applications Computer-assisted instruction Teaching / Aids and devices Cloud computing Big data Shen, Jun Sonstige oth Lin, Jiayin Sonstige oth |
| spellingShingle | Sun, Geng Adaptive micro learning using fragmented time to learn Educational innovations Artificial intelligence / Educational applications Computer-assisted instruction Teaching / Aids and devices Cloud computing Big data |
| title | Adaptive micro learning using fragmented time to learn |
| title_auth | Adaptive micro learning using fragmented time to learn |
| title_exact_search | Adaptive micro learning using fragmented time to learn |
| title_exact_search_txtP | Adaptive micro learning using fragmented time to learn |
| title_full | Adaptive micro learning using fragmented time to learn by Geng Sun, Jun Shen, Jiayin Lin |
| title_fullStr | Adaptive micro learning using fragmented time to learn by Geng Sun, Jun Shen, Jiayin Lin |
| title_full_unstemmed | Adaptive micro learning using fragmented time to learn by Geng Sun, Jun Shen, Jiayin Lin |
| title_short | Adaptive micro learning |
| title_sort | adaptive micro learning using fragmented time to learn |
| title_sub | using fragmented time to learn |
| topic | Educational innovations Artificial intelligence / Educational applications Computer-assisted instruction Teaching / Aids and devices Cloud computing Big data |
| topic_facet | Educational innovations Artificial intelligence / Educational applications Computer-assisted instruction Teaching / Aids and devices Cloud computing Big data |
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