INTERACT: A model based on contexts to motivate interactions in Educational Social Networks
A model based on contexts to motivate interactions in Educational Social Networks
DOI:
https://doi.org/10.20873/uft.2447-4266.2018v4n3p399Keywords:
Context science, Educational social networks, ubiquitous computing, Recommendation systems, interactionAbstract
Educational Social Networks (ESN) can provide spaces for interaction and exchanges between learners, but they do not guarantee motivation for them to happen. INTERACT uses the contextual history of users to enhance interactions among ESN users. In addition to the model, the developed prototype is presented. The evaluation was based on data collection generated by the activities of volunteers in the experiment and in questionnaires, with the central observations being the participation, recommendation and reaction of the participants. Results showed an increase in the volume of interactions at the moments of prototype performance. Finally, the volunteers' perceptions about the quality and assertiveness of the INTERACT actions are presented.
Downloads
References
ARNABOLDI, V.; CONTI, M.; DELMASTRO, F. Cameo: a novel context-aware middleware for opportunistic mobile social networks. Pervasive and Mobile Computing, vol. 11, Elsevier, pp. 148–167, 2014.
CHOWDHURY, G. G. Natural language processing. In: Annual review of information science and technology, v. 37, p. 51–89, 2003.
DEY, A.; SALBER, D.; ABOWD, G. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware application. Human-Computer Interaction, Available: dx.doi.org/10.1207/S15327051HCI16234_02, 2001.
DOOLIN, K.; TAYLOR, N.; CROTTY, M.; RODDY, M.; JENNINGS, E.; ROUSSAKI, J.; MCKITTERICK, D. Enhancing Mobile Social Networks with Ambient Intelligence. Mobile Social Networking: An Innovative Approach, pp. 139-163, 2014.
KANE, G.; RANSBOTHAM, S. Codification and collaboration: Information quality in social media, in: International Conference on Information Systems (ICIS), Orlando, 2012.
PIAGET, J. The Role of Action in the Development of Thinking. In Advances in Research and Theory. Plenum Press, 1977.
PRIMO, A. Interação Mediada por Computador: A comunicação e a educação a distância segundo uma perspectiva sistêmico-relacional. Tese de Doutorado. Programa de Pós-Graduação em Informática na Educação, 2003.
RECUERO, R. Redes sociais na internet. 191 p. Porto Alegre: Sulina, 2014.
SEBASTIANI, F. Machine Learning in Automated Text Categorization. In: ACM Computing Surveys (CSUR), v. 34, n. 1, p. 1–47, 2002.
STATISTA. Most visited social networks in Latin America, https://www.statista.com/statistics/202372/latin-america--largest-social-networking-sites, November, 2016.
VYGOTSKI, L. S. A formação social da mente, Editora Martins Fontes, 1989.
WANG, R.; STRONG, D. Beyond accuracy: what data quality means to data consumers, Journal of Management Information Systems 12 (4) 5–34, 1996.
YIN, R. K. Case study research: Design and methods. Sage publications, 2013.
Downloads
Published
How to Cite
Issue
Section
License
[PT] Autores que publicam nesta revista concordam com os seguintes termos:
1. Autores mantém os direitos autorais e concedem à revista, sem pagamento, o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Creative Commons Attribution License (CC BY-NC 4.0), permitindo o compartilhamento do trabalho com reconhecimento da autoria do trabalho e publicação inicial nesta revista.
Leia todos os termos dos direitos autorais aqui.