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020 _a9783031116476
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024 7 _a10.1007/978-3-031-11647-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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245 1 0 _aArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium
_h[electronic resource] :
_b23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II /
_cedited by Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXXVIII, 638 p. 123 illus., 110 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13356
505 0 _aInteractive learning environments -- Computer-assisted instruction -- Collaborative learning -- e-learning -- Knowledge representation and reasoning -- Natural language processing -- Intelligent tutoring -- Semantic networks -- Probabilistic reasoning -- Machine learning -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Personalization. Data mining.
520 _aThis two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022. The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was „AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI.".
650 0 _aArtificial intelligence.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aApplication software.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 1 4 _aArtificial Intelligence.
650 2 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aRodrigo, Maria Mercedes.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMatsuda, Noburu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCristea, Alexandra I.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDimitrova, Vania.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031116469
776 0 8 _iPrinted edition:
_z9783031116483
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13356
856 4 0 _uhttps://doi.org/10.1007/978-3-031-11647-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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