Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium
Springer International Publishing (Verlag)
978-3-031-11646-9 (ISBN)
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 | 27.07.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXXVIII, 638 p. 123 illus., 110 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1021 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 Science • Computer systems • Curricula • Databases • Data Mining • Education • E-Learning • Engineering • Human-Computer Interaction (HCI) • information systems • Interactive Learning Environments • Internet • learning • Learning Environments • Linguistics • machine learning • Natural Language Processing • Natural Languages • Semantics • Signal Processing |
| ISBN-10 | 3-031-11646-1 / 3031116461 |
| ISBN-13 | 978-3-031-11646-9 / 9783031116469 |
| Zustand | Neuware |
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