Artificial intelligence in education [electronic resource] : 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 / Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova (eds.).
2022
LB1028.43 .I64 2022eb
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Title
Artificial intelligence in education [electronic resource] : 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 / Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova (eds.).
Meeting Name
ISBN
9783031116476 (electronic bk.)
303111647X (electronic bk.)
9783031116469
303111647X (electronic bk.)
9783031116469
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource (670 pages).
Item Number
10.1007/978-3-031-11647-6 doi
Call Number
LB1028.43 .I64 2022eb
Dewey Decimal Classification
371.33/463
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."
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 5, 2022).
Series
Lecture notes in computer science ; 13356.
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Table of 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.
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.