OPAC

検索結果一覧に戻る

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium : 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II / edited by Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
(Lecture Notes in Computer Science. ISSN:16113349 ; 13356)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XXXVIII, 638 p. 123 illus., 110 illus. in color : online resource
著者標目	Rodrigo, Maria Mercedes editor Matsuda, Noburu editor Cristea, Alexandra I editor Dimitrova, Vania editor SpringerLink (Online service)

所蔵情報を非表示

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002369	Computer Scinece R0 2005-6,2022-3				9783031116476

書誌詳細を非表示

一般注記	Interactive 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 This 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." HTTP:URL=https://doi.org/10.1007/978-3-031-11647-6
件　名	LCSH:Artificial intelligence LCSH:Database management LCSH:Data mining LCSH:Information storage and retrieval systems LCSH:Application software LCSH:User interfaces (Computer systems) LCSH:Human-computer interaction FREE:Artificial Intelligence FREE:Database Management FREE:Data Mining and Knowledge Discovery FREE:Information Storage and Retrieval FREE:Computer and Information Systems Applications FREE:User Interfaces and Human Computer Interaction
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00001757
ISBN	9783031116476