Authors:
Waldir Siqueira Moura
;
Mônica Ferreira da Silva
;
Jonice de Oliveira Sampaio
;
Tainá Guimarães de Souza
;
Elton Carneiro Marinho
and
Victor Prado
Affiliation:
Computer Science Graduate Program, PPGI, Federal University of Rio de Janeiro, Térreo, Bloco E, CCMN/NCE, University City, post code 68.530, Rio de Janeiro, Brazil
Keyword(s):
Analysis of Social Networks, School Performance, Method.
Abstract:
This article brings to light analyses of student’s social networks in order to comprehend how social interactions occur in schools. Furthermore, the present research intents on verifying if social groups affect student’s performance. In view of this reality, this work presents the analysis of 40 social network students with the objective of measuring the degrees of interrelationship between groups to provide means of implementing the process of building Collective Knowledge in the classroom. One of the main challenges encountered at work is the understanding between native psychic and somesthetic students. From the data collection of the experiment, it was evidenced that there is a strong correlation between the networks of friendships and grades, which allowed to verify that repeating students do not fit in with students of the grade in which they are and that students with good grades have many friendship bonds, however these bonds are weak since they are only bonds with interest i
n the notes. The Collective Knowledge applied by the teacher must collaborate for the interrelation of the students and, consequently, in the strengthening of bonds and grades.
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