The track on Smart Learning within the 2019 International Conference Technological Ecosystems for Enhancing Multiculturality (TEEM ’19) aims to provide a forum for researchers, professionals and companies for the presentation and discussion on the application to learning of the advances in Artificial Intelligence in the broadest sense. The main objective is to know how intelligent systems impact human learning from different points of view. To this end, in this track we promote innovative ideas, theories, models, approaches, technologies, systems, projects, best practices, case studies, products, transference experiences and ethical studies in the area of smart learning. Submissions should present empirical and/or theoretical advances in smart education, smart teaching, applications of smart technologies and smart systems in education and e-learning, smart classrooms, smart schools and universities and knowledge-based smart society. All submissions will be subject to peer-review.
The Smart Learning track solicits papers particularly (but not exclusively) in the following lines of research and application:
- Smart interfaces for learning: virtual and augmented reality, natural language processing and speech technologies, tangible interfaces and wearables.
- Intelligent tutoring: learning activity generation, problem generation and selection, feedback generation, conversational systems.
- Modelling for smart learning: domain models, student models, knowledge models and representation, community models, motivation modelling, ontological modelling.
- Smart teaching-learning process: adaptive learning, personalized learning, educational agents, educational data mining, educational games, gamification, collaborative learning, social networks, ubiquitous learning, e-learning.
- Smart evaluation: automatic evaluation, automatic feedback, learning style assessment.
- Smart spaces: smart classrooms, smart universities, smart schools.
Innovative products for Smart learning: Prototypes, pilot tests, proofs of concept, technical guides, tutorials, innovative e-learning products (SPOOCs, MOOCs, NOOCs…)
Related Special Issue
A selection of the papers of this track will be invited to participate in the special issue “Smart Learning” of the Applied Sciences Journal.
Track Scientific Committee
Rafael Molina Carmona (Universidad de Alicante) – Chair
Carlos Villagrá Arnedo (Universidad de Alicante) – Chair
Antonio Fernández Martínez (Universidad de Almería)
Carina González González (Universidad de La Laguna)
Antonio Jimeno Morenilla (Universidad de Alicante)
Faraón Llorens Largo (Universidad de Alicante)
David López Álvarez (Universidad Politécnica de Cataluña)
Gina Susana Mejía Madrid (Universidad Central del Ecuador)
Doris Meza Bolaños (Universidad Central del Ecuador)
Agustín Pérez Martín (Universidad Miguel Hernández)
María Luisa Pertegal Felices (Universidad de Alicante)
José Antonio Piedra Fernández (Universidad de Almería)
Alejandro Rabasa Dolado (Universidad Miguel Hernández)
Francisco Xavier Valverde Alulema (Universidad Central del Ecuador)
Daniel Villar Onrubia (Coventry University)
Miguel Zapata Ros (Universidad de Murcia)