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Technology-Inspired Smart Learning for Future Education [[electronic resource] ] : 29th National Conference on Computer Science Technology and Education, NCCSTE 2019, Kaifeng, China, October 9–11, 2019, Revised Selected Papers / / edited by Wenxing Hong, Chao Li, Qing Wang



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Titolo: Technology-Inspired Smart Learning for Future Education [[electronic resource] ] : 29th National Conference on Computer Science Technology and Education, NCCSTE 2019, Kaifeng, China, October 9–11, 2019, Revised Selected Papers / / edited by Wenxing Hong, Chao Li, Qing Wang Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (viii, 152 pages) : illustrations
Disciplina: 371.334
Soggetto topico: Computers
Artificial intelligence
Computer organization
Application software
Education—Data processing
Information Systems and Communication Service
Artificial Intelligence
Computer Systems Organization and Communication Networks
Computer Applications
Computers and Education
Theory of Computation
Persona (resp. second.): HongWenxing
LiChao
WangQing
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: This book constitutes the refereed proceedings of the 29th National Conference on Computer Science Technology and Education, NCCSTE 2019, held in Kaifeng, China, in October 2019. The 12 full papers presented were thoroughly reviewed and selected from 50 submissions. The papers focus on the diverse environments of smart learning, including massive open online courses with AI assistants, intelligent tutoring systems, interactive learning courseware, learning games, collaborative programming communities, community tutorial systems, personalized exercise programs, tutoring robotics, etc. The papers are organized in the following topical sections: smart learning; information technologies. .
Titolo autorizzato: Technology-Inspired Smart Learning for Future Education  Visualizza cluster
ISBN: 981-15-5390-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910410041903321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1216