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Methodologies and Intelligent Systems for Technology Enhanced Learning, 15th International Conference / edited by Chee-Kit Looi, Carlos Santos, Maria Angela Pellegrino, Mónica Aresta, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando de la Prieta, Antoine Nongaillard.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Looi, Chee-Kit.
Contributor:
Santos, Carlos.
Pellegrino, Maria Angela.
Aresta, Mónica.
Vittorini, Pierpaolo.
Gennari, Rosella.
Di Mascio, Tania.
Temperini, M. (Marco)
De la Prieta, Fernando.
Nongaillard, Antoine.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1619
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Physical Description:
1 online resource (392 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’25 promotes the interaction among the scientific community to discuss applications. Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators. The 15th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL’25) technical program includes 23 contributions (13 full papers and 10 short papers). mis4TEL’25 is hosted by the SMAC Team of the CRIStAL Lab of the University of Lille (France). The authors would like to thank all the contributing authors, the members of the program committee.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-05070-7
9783032050700
OCLC:
1543125724

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