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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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Author/Creator:
Rodrigo, Maria Mercedes, author.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 13356
Language:
English
Subjects (All):
Artificial intelligence.
Database management.
Data mining.
Information storage and retrieval systems.
Application software.
User interfaces (Computer systems).
Human-computer interaction.
Artificial Intelligence.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Local Subjects:
Artificial Intelligence.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Physical Description:
1 online resource (670 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
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.".
Contents:
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.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Rodrigo, Maria Mercedes Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium
ISBN:
3-031-11647-X

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