Artificial Intelligence in Education -

Artificial Intelligence in Education

23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I
Buch | Softcover
XLII, 776 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-11643-8 (ISBN)
128,39 inkl. MwSt
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."

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XLII, 776 p. 175 illus., 151 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1234 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Collaborative Learning • Computer aided instruction • computer-assisted instruction • Computer Networks • Computer Science • Computer systems • Curricula • Data Mining • Education • E-Learning • Engineering • Human-Computer Interaction (HCI) • information systems • Interactive Learning Environments • Internet • learning • Learning Environments • Linguistics • machine learning • Mathematics • Natural Language Processing • Semantics • Signal Processing
ISBN-10 3-031-11643-7 / 3031116437
ISBN-13 978-3-031-11643-8 / 9783031116438
Zustand Neuware
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