SMARTLEARN
SmartLearn research group
Date of inception 01 January 2016
End date on 31 December 2024
Leader: Santi Caballé Llobet
Department: IT, Multimedia and Telecommunications Department
Former Center: Faculties
Website: http://smartlearn.uoc.edu/
The SmartLearn group's research and innovation activity focuses on the intensive use of information and communication technologies to improve and enhance e-learning in its multiple forms, adopting a multidisciplinary approach, with the purpose of fostering:The conceptualization of e-learning systems from the pedagogical viewpoint.The application of engineering and technological models and methodologies.The creation of prototypes and their integration in real e-learning systems (LMS).Exploitation in virtual training environments in academic health-related areas (eHealth).The group's ultimate goal is to carry out research in order to give answers to the demanding, changing requirements of the present and next-generation e-learning systems and services.Este grupo de investigación UOC forma parte del grupo de investigación SGR "DIMMON EDTECH¿, con referencia "2021 SGR 01383".This UOC research group is part of the SGR research group "DIMMON EDTECH¿, under reference "2021 SGR 01383".
Researchers
Classifications
- Ministry Area: ENGINYERIA TELEMÀTICA, CIÈNCIES DE LA COMPUTACIÓ I INTEL·LIGÈNCIA ARTIFICIAL, LLENGUATGES I SISTEMES INFORMÀTICS
- Application Area: Information and communication technologies
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Prevailing specialties (top 4)
Obtained from publications help
Obtained from publications
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
Former members (4)
- Casas Roma, Joan 20202023
- Gañán Jiménez, David 20192021
- Guitart Hormigo, Isabel 20162023
- Senabre Hidalgo, Enric 20222024