Nowadays, given the rapid changes due to the fourth industrial revolution, information and communication technology designers often find themselves without space and time to learn while working. This issue is especially evident for on-chip monitoring system designers: usually, they have to face significant design challenges due to the complexity and heterogeneity of the systems to be monitored. To meet their needs, in this paper, an “on-the-job” Technology-Enhanced Learning environment, called MONICA, is proposed. The paper especially focuses on the MONICA learning model that serves as a guide for designers to improve their knowledge of the monitoring system domain at the same moment they are “on-the-job”. Moreover, an empirical evaluation of the MONICA learning model is reported, demonstrating its effectiveness and highlighting the designer’s satisfaction.
MONICA “On-the-Job” Technology-Enhanced Learning Environment: An Empirical Evaluation
Caruso F.;Di Mascio T.;Peretti S.;Pomante L.;Valente G.
2022-01-01
Abstract
Nowadays, given the rapid changes due to the fourth industrial revolution, information and communication technology designers often find themselves without space and time to learn while working. This issue is especially evident for on-chip monitoring system designers: usually, they have to face significant design challenges due to the complexity and heterogeneity of the systems to be monitored. To meet their needs, in this paper, an “on-the-job” Technology-Enhanced Learning environment, called MONICA, is proposed. The paper especially focuses on the MONICA learning model that serves as a guide for designers to improve their knowledge of the monitoring system domain at the same moment they are “on-the-job”. Moreover, an empirical evaluation of the MONICA learning model is reported, demonstrating its effectiveness and highlighting the designer’s satisfaction.File | Dimensione | Formato | |
---|---|---|---|
Caruso et al., 2022.pdf
solo utenti autorizzati
Tipologia:
Documento in Post-print
Licenza:
Dominio pubblico
Dimensione
1.22 MB
Formato
Adobe PDF
|
1.22 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.