@Article{SilvaBrMaViRoCoFr:2014:SoNeAn,
               author = "Silva, Aleksandra do Socorro da and Brito, Silvana Rossy de and 
                         Martins, Dalton Lopes and Vijaykumar, Nandamudi Lankalapalli and 
                         Rocha, Claudio Alex Jorge da and Costa, Jo{\~a}o Cris{\'o}stomo 
                         Weyl Albuquerque and Franc{\^e}s, Carlos Renato Lisboa",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Social Network Analysis and Participation in Learning Environments 
                         to Digital Inclusion Based on Large-Scale Distance Education",
              journal = "International Journal of Distance Education Technologies",
                 year = "2014",
               volume = "12",
               number = "2",
                pages = "1--25",
                month = "Apr.-June",
             keywords = "bayesian networks, digital inclusion, distance learning.",
             abstract = "Evaluating and monitoring large-scale distance learning programs 
                         require different techniques, systems, and analysis methods. This 
                         work presents challenges in evaluating and monitoring digital 
                         inclusion training programs, considering the aspects inherent in 
                         large-scale distance training, and reports an approach based on 
                         network and distance learning. The paper has the following 
                         objectives: (i) apply algorithms to extract indicators from 
                         interaction networks, in a real scenario and consolidated training 
                         based on distance learning; (ii) apply algorithms to correlate 
                         interaction indicators with other indicators related to the use 
                         and participation in learning environments; and (iii) discuss the 
                         relevance of the obtained indicators to promote feedback with 
                         information critical to the success of a large-scale distance 
                         training program.",
                  doi = "10.4018/ijdet.2014040101",
                  url = "http://dx.doi.org/10.4018/ijdet.2014040101",
                 issn = "1539-3100 and 1539-3119",
                label = "lattes: 9922863822347014 4 SilvaBrMaViRoCoFr:2014:SoNeAn",
             language = "en",
           targetfile = "AleksandraSilvaEtAl_IJDET_Proof_Reading.pdf",
        urlaccessdate = "28 abr. 2024"
}