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A massive data processing approach for effective trustworthiness in online learning groups

Autor
Miguel, J.; Caballé , Santi; Xhafa, F.; Prieto, J.
Tipus d'activitat
Article en revista
Revista
Concurrency and computation. Practice and experience
Data de publicació
2015-06-10
Volum
27
Número
8
Pàgina inicial
1988
Pàgina final
2003
DOI
https://doi.org/10.1002/cpe.3396 Obrir en finestra nova
Projecte finançador
Modelos y métodos computacionales para datos masivos estructurados
Repositori
http://hdl.handle.net/2117/79974 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/cpe.3396/full Obrir en finestra nova
Resum
This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving http://olabout.wiley.com/WileyCDA/Section/id-820227.html This paper proposes a trustworthiness-based approach for the design of secure learning activities in online learning groups. Although computer-supported collaborative learning has been widely adopted in many educational institutions over the last decade, there exist still drawbacks that limit its potential. Among these limi...
Citació
Miguel, J., Caballé , Santi, Xhafa, F., Prieto, J. A massive data processing approach for effective trustworthiness in online learning groups. "Concurrency and computation. Practice and experience", 10 Juny 2015, vol. 27, núm. 8, p. 1988-2003.
Paraules clau
Hadoop, Implementation, MapReduce, computer-supported collaborative learning, e-Learning activities, information security, log files, logs, massive data processing, parallel processing, trustworthiness

Participants

  • Miguel, Jorge  (autor)
  • Caballé Llobet, Santiago  (autor)
  • Xhafa Xhafa, Fatos  (autor)
  • Prieto, Josep  (autor)