Welcome to the InfoSci Platform
Reference Hub6
Social Networks Analysis and Participation in Learning Environments to Digital Inclusion Based on Large-Scale Distance Education

Social Networks Analysis and Participation in Learning Environments to Digital Inclusion Based on Large-Scale Distance Education

Aleksandra do Socorro da Silva, Silvana Rossy de Brito, Dalton Lopes Martins, Nandamudi Lankalapalli Vijaykumar, Cláudio Alex Jorge da Rocha, João Crisóstomo Weyl Albuquerque Costa, Carlos Renato Lisboa Francês
Copyright: © 2014 |Volume: 12 |Issue: 2 |Pages: 25
ISSN: 1539-3100|EISSN: 1539-3119|EISBN13: 9781466653528|DOI: 10.4018/ijdet.2014040101
Cite Article Cite Article

MLA

Socorro da Silva, Aleksandra do, et al. "Social Networks Analysis and Participation in Learning Environments to Digital Inclusion Based on Large-Scale Distance Education." IJDET vol.12, no.2 2014: pp.1-25. http://doi.org/10.4018/ijdet.2014040101

APA

Socorro da Silva, A. D., Rossy de Brito, S., Martins, D. L., Vijaykumar, N. L., Jorge da Rocha, C. A., Costa, J. C., & Francês, C. R. (2014). Social Networks Analysis and Participation in Learning Environments to Digital Inclusion Based on Large-Scale Distance Education. International Journal of Distance Education Technologies (IJDET), 12(2), 1-25. http://doi.org/10.4018/ijdet.2014040101

Chicago

Socorro da Silva, Aleksandra do, et al. "Social Networks Analysis and Participation in Learning Environments to Digital Inclusion Based on Large-Scale Distance Education," International Journal of Distance Education Technologies (IJDET) 12, no.2: 1-25. http://doi.org/10.4018/ijdet.2014040101

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.