|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
b3286102 |
003 |
MWH |
005 |
20191029051357.0 |
007 |
cr nn 008mamaa |
008 |
171027s2018 gw | s |||| 0|eng d |
020 |
|
|
|a 9783319679280
|
024 |
7 |
|
|a 10.1007/978-3-319-67928-0
|2 doi
|
035 |
|
|
|a (DE-He213)978-3-319-67928-0
|
050 |
|
4 |
|a E-Book
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a TEC009000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
100 |
1 |
|
|a Montebello, Matthew.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a AI Injected e-Learning
|h [electronic resource] :
|b The Future of Online Education /
|c by Matthew Montebello.
|
250 |
|
|
|a 1st ed. 2018.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
|
300 |
|
|
|a XIX, 86 p. 6 illus.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 745
|
490 |
1 |
|
|a Springer eBook Collection
|
505 |
0 |
|
|a Introduction -- e-Learning so far -- MOOCs, Crowdsourcing and Social Networks -- User Profiling and Personalisation -- Personal Learning Networks, Portfolios and Environments -- Customised e-Learning -- Looking Ahead.
|
520 |
|
|
|a This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.
|
590 |
|
|
|a Loaded electronically.
|
590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
650 |
|
0 |
|a Computational intelligence.
|
650 |
|
0 |
|a Artificial intelligence.
|
690 |
|
|
|a Electronic resources (E-books)
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
830 |
|
0 |
|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 745
|
830 |
|
0 |
|a Springer eBook Collection.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-319-67928-0
|3 Click to view e-book
|t 0
|
907 |
|
|
|a .b32861023
|b 04-18-22
|c 02-26-20
|
998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g gw
|h 0
|i 1
|
912 |
|
|
|a ZDB-2-ENG
|
950 |
|
|
|a Engineering (Springer-11647)
|
902 |
|
|
|a springer purchased ebooks
|
903 |
|
|
|a SEB-COLL
|
945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i21992642
|z 02-26-20
|
999 |
f |
f |
|i 26602809-e87c-587e-bf42-f1832c19114c
|s e81c7ae2-ba21-5247-a008-9c1e5ebca405
|t 0
|
952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|t 0
|e E-Book
|h Library of Congress classification
|i Elec File
|