Artificial Intelligence in Education
23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I
Published on 27. July 2022
Book
Paperback/Softback
XLII, 776 pages
978-3-031-11643-8 (ISBN)
Description
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."
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
24 s/w Abbildungen, 151 farbige Abbildungen
XLII, 776 p. 175 illus., 151 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 44 mm
Weight
1218 gr
ISBN-13
978-3-031-11643-8 (9783031116438)
DOI
10.1007/978-3-031-11644-5
Schweitzer Classification
Other editions
Additional editions
Maria Mercedes Rodrigo | Noburu Matsuda | Alexandra I. Cristea
Artificial Intelligence in Education
23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I
E-Book
07/2022
Springer
€117.69
Available for download
Content
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.