A framework to support educational decision making in mobile learning (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• A framework to support educational decision making in mobile learning (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.chb.2014.05.045 (literal)

Alternative label

• Fulantelli, Giovanni; Taibi, Davide; Arrigo, Marco (2014)
  A framework to support educational decision making in mobile learning
  in Computers in human behavior
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Fulantelli, Giovanni; Taibi, Davide; Arrigo, Marco (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84902893384&origin=inward (literal)

Rivista

• Computers in human behavior (Rivista)

Note

• Scopu (literal)
• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consiglio Nazionale delle Ricerche - Istituto per le Tecnologie Didattiche (literal)

Titolo

• A framework to support educational decision making in mobile learning (literal)

Abstract

• Learning Analytics in Mobile Learning is a challenging research topic, due to the distinguishing features of mobile learning. In fact, mobile learning is characterized by the learners' mobility, the possibility of having localized data and information, the large amount of data that can be collected during a learning session, the affordances provided by the technologies and the social dynamics that characterize the context in which learning takes place. As a consequence, Learning Analytics in mobile learning requires original methodological approaches which enrich techniques already tested in different learning contexts (e.g., in Virtual Learning Environments) with specific strategies to deal with the complexity of mobile learning and manage the corresponding datasets. This paper presents a task-interaction framework to support educational decision-making in mobile learning. The framework is based on the relationships between the different types of interactions occurring in a mobile learning activity and the tasks which are pedagogically relevant for the learning activity. A case study has been designed to demonstrate the application of the task-interaction framework to learning scenarios based on the use of mobile devices. © 2014 Elsevier Ltd. All rights reserved. (literal)

Prodotto di

• Multiculturalità e scuola:metodologie e tecnologie di supporto all'apprendimento e all'integrazione (IC.P10.007.002) (Modulo)
• Progettare la qualita' dell'e-learning (IC.P03.006.001) (Modulo)

Autore CNR

• GIOVANNI FULANTELLI (Unità di personale interno)
• MARCO ARRIGO (Persona)
• DAVIDE TAIBI (Persona)

Insieme di parole chiave

• Keywords of "A framework to support educational decision making in mobile learning" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• MARCO ARRIGO (Persona)
• GIOVANNI FULANTELLI (Unità di personale interno)
• DAVIDE TAIBI (Persona)

Prodotto

• Progettare la qualita' dell'e-learning (IC.P03.006.001) (Modulo)
• Multiculturalità e scuola:metodologie e tecnologie di supporto all'apprendimento e all'integrazione (IC.P10.007.002) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Computers in human behavior (Rivista)

Insieme di parole chiave di

• Keywords of "A framework to support educational decision making in mobile learning" (Insieme di parole chiave)