Débora Nice Ferrari Barbosa

Prof. Dr. Débora Nice Ferrari Barbosa

Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 September 2013 in Expert Systems with Applications
Verified
Journal Article
Closed access
AWAndré Wagner
André Wagner
Jorge BarbosaJorge Barbosa
Jorge Barbosa
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa

1 January 2011 in International Journal of Learning Technology
Verified
Journal Article
Closed access
Jorge BarbosaJorge Barbosa
Jorge Barbosa
RHRodrigo Machado Hahn
Rodrigo Machado Hahn
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa
ASAmarolinda Iara da Costa Zanel Saccol
Amarolinda Iara da Costa Zanel Saccol
Ubiquitous learning refers to learning supported by the use of mobile and wireless communication technologies, sensors and location/tracking mechanisms, that work together to integrate students with their environment. In this paper, we present a ubiquitous learning model called location and context-aware learning (LOCAL). The model is self-sufficient since it does not require complement of an ubiquitous middleware. Moreover, LOCAL uses location information and learner profiles in a generic approach, it was not designed to any specific kind of learning application. The main goal of the model consists in stimulating interaction among learners. The model was implemented and the initial results attest its usefulness. Two functionalities tests proved that LOCAL can be used to stimulate the learner interaction and to distribute contextualised learning objects. In a third test, LOCAL usefulness was positively evaluated by 20 individuals of a computer engineering undergraduate course.

25 April 2022 in International Journal of Human–Computer Interaction
Verified
Journal Article
Closed access
SDSandro Oliveira Dorneles
Sandro Oliveira Dorneles
RFRosemary Francisco
Rosemary Francisco
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa
Jorge BarbosaJorge Barbosa
Jorge Barbosa
Studies indicate the growth and relevance of systems that can recognize affective states in the most different areas. A tendency to more natural environments could be noticed that considering physical or physiological signs and the individual’s relationship with the environment, other people, and daily activities. Therefore, what is the importance of combining ubiquitous computing, affective computing, and the contributions of context-aware information to provide more accurate and intelligent affective systems? This study presents a systematic literature mapping about the use of contextual information to identify affective states, which covered articles published between 2010 and October 2021, resulting in 1.638 studies. After applying filters, which we explain further in this article, we selected 49 works to answer a set of research questions. The results indicate that physiological data was the main parameter for recognizing affective signs (62.3%, 33/53), followed by visual data (32.1%, 17/53). The links between context and affective signs presented a more significant occurrence in the combination of contexts related to activities and physiological data (34%, 18/53).

11 July 2010 in Journal of the Brazilian Computer Society
Verified
Journal Article
Open access
JSJader M. Silva
Jader M. Silva
JRJoão H. Rosa
João H. Rosa
Jorge BarbosaJorge Barbosa
Jorge Barbosa
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa
LPLuiz A. M. Palazzo
Luiz A. M. Palazzo
In mobile computing environments, the tracking of users allows applications to adapt to the contexts visited by users (Context Awareness). In recent years, the use of context information and users’ profiles has been considered an opportunity for context-aware content management. The improvement and the wide adoption of location systems are stimulating the tracking of users, allowing the use of Trails. A trail is the history of the contexts visited by a user during a period. This article proposes a model for trails management and its application in the content management. In this text, we consider that Trail-Aware is an evolution of the simple use of contexts and profiles. The text presents a prototype and its application in an educational environment for distribution of learning objects using trail-aware.

1 August 2016 in Computers in Industry
Verified
Journal Article
Closed access
Jorge BarbosaJorge Barbosa
Jorge Barbosa
CMCládio Martins
Cládio Martins
LFLaerte Kerber Franco
Laerte Kerber Franco
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa

7 March 2007
Verified
Conference Paper
Open access
PDF file
Jorge BarbosaJorge Barbosa
Jorge Barbosa
RHRodrigo Hahn
Rodrigo Hahn
Débora Nice Ferrari BarbosaDébora Nice Ferrari Barbosa
Débora Nice Ferrari Barbosa
CGCláudio F. R. Geyer
Cláudio F. R. Geyer
The increasing use of mobile devices and the dissemination of wireless networks have stimulated mobile and ubiquitous computing research. In this context, education is being considered one of the main application areas. This paper proposes the use of mobile and ubiquitous computing to support and improve learning in a new kind of academic structure called Undergraduate Course of Reference (nicknamed GRefe). The GRefe was proposed in Unisinos, a university located in south of Brazil. Currently, there are four GRefes. These courses are organized in Learning Programs and Learning Projects. They use a practical and multidisciplinary approach to stimulate the learning. We proposed the use of mobile and ubiquitous computing technology to articulate and improve the academic activities of a specific GRefe called Computer Engineering. We believe that GRefe organization simplified and stimulated the use of these technologies in a learning environment.