|
|
|
|
| LEADER |
03333nam a22005895i 4500 |
| 001 |
16106 |
| 003 |
DE-He213 |
| 005 |
20130727082703.0 |
| 007 |
cr nn 008mamaa |
| 008 |
130622s2013 gw | s |||| 0|eng d |
| 020 |
# |
# |
|a 9783642391125
|9 978-3-642-39112-5
|
| 024 |
7 |
# |
|a 10.1007/978-3-642-39112-5
|2 doi
|
| 050 |
# |
4 |
|a Q334-342
|
| 050 |
# |
4 |
|a TJ210.2-211.495
|
| 072 |
# |
7 |
|a UYQ
|2 bicssc
|
| 072 |
# |
7 |
|a TJFM1
|2 bicssc
|
| 072 |
# |
7 |
|a COM004000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 006.3
|2 23
|
| 100 |
1 |
# |
|a Lane, H. Chad.
|e editor.
|
| 245 |
1 |
0 |
|a Artificial Intelligence in Education
|b 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings /
|c edited by H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik.
|h [electronic resource] :
|
| 264 |
# |
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
|
| 300 |
# |
# |
|a XXXII, 961 p. 203 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 Lecture Notes in Computer Science,
|v 7926
|x 0302-9743 ;
|
| 505 |
0 |
# |
|a Student modeling and personalization -- Open-learner modeling -- Affective computing and engagement -- Educational data mining -- Learning together (collaborative learning and social computing) -- Natural language processing -- Pedagogical agents -- Metacognition and self-regulated learning -- Feedback and scaffolding -- Designed learning activities -- Educational games and narrative.-�Outreach and scaling up.
|
| 520 |
# |
# |
|a This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up.
|
| 650 |
# |
0 |
|a Computer science.
|
| 650 |
# |
0 |
|a Artificial intelligence.
|
| 650 |
# |
0 |
|a Education.
|
| 650 |
# |
0 |
|a Education
|x Psychology.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Computers and Education.
|
| 650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
|
| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
|
| 650 |
2 |
4 |
|a Educational Technology.
|
| 650 |
2 |
4 |
|a Pedagogic Psychology.
|
| 700 |
1 |
# |
|a Yacef, Kalina.
|e editor.
|
| 700 |
1 |
# |
|a Mostow, Jack.
|e editor.
|
| 700 |
1 |
# |
|a Pavlik, Philip.
|e editor.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
# |
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642391118
|
| 830 |
# |
0 |
|a Lecture Notes in Computer Science,
|v 7926
|x 0302-9743 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-39112-5
|
| 912 |
# |
# |
|a ZDB-2-SCS
|
| 912 |
# |
# |
|a ZDB-2-LNC
|
| 950 |
# |
# |
|a Computer Science (Springer-11645)
|