TY  - BOOK
AU  - Rodrigo,Maria  Mercedes
AU  - Matsuda,Noburu
AU  - Cristea,Alexandra I.
AU  - Dimitrova,Vania
TI  - 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 
T2  - Lecture Notes in Computer Science,
SN  - 9783031116476
U1  - 006.3 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Database management
KW  - Data mining
KW  - Information storage and retrieval systems
KW  - Application software
KW  - User interfaces (Computer systems)
KW  - Human-computer interaction
KW  - Artificial Intelligence
KW  - Database Management
KW  - Data Mining and Knowledge Discovery
KW  - Information Storage and Retrieval
KW  - Computer and Information Systems Applications
KW  - User Interfaces and Human Computer Interaction
N1  - 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
N2  - 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."
UR  - https://doi.org/10.1007/978-3-031-11647-6
ER  -