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CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação

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Grouping Methods for Identification of Profiles of Teachers with Expertise in Educational Technology

This research aimed to apply statistical methods able to survey individuals group into subgroups with similar features on their skills with technology. The sample included the participation of teachers who responded to the online survey of semi-structured survey on the experiences of use and level of knowledge of technological tools to support education. The data collected were organized into tables and Analysis algorithms for grouping were executed to set two subgroups of users, one with skill in technology and one without, so the partial results of the research showed two main algorithms for realization of the Group and the results of both show 92% of similarity between groups made in two situations, confirming the accuracy of the techniques regarding discrimination against individuals.

Author(s):

Francisco Kelsen de Oliveira    
Federal University of Pernambuco / Federal Institute of Education, Science and Technology of Sertão Pernambucano
Brazil

Max Brandão de Oliveira    
Federal University of Piauí
Brazil

Alex Sandro Gomes    
Federal University of Pernambuco
Brazil

Leandro Marques Queiros    
Federal University of Pernambuco
Brazil

 

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