Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium [E-Book] : 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.
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...
Saved in:
Full text |
|
Personal Name(s): | Cristea, Alexandra I., editor |
Dimitrova, Vania, editor / Matsuda, Noburu, editor / Rodrigo, Maria Mercedes, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
|
Physical Description: |
XXXVIII, 638 pages 123 illustrations, 110 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031116476 |
DOI: |
10.1007/978-3-031-11647-6 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Lecture Notes in Computer Science ;
13356 |
Subject (LOC): |
- 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.