NDLI: Affinity: um sistema baseado em contexto e afinidade para a recomendação de pessoas em ambientes EaD

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Affinity: um sistema baseado em contexto e afinidade para a recomendação de pessoas em ambientes EaD

Content Provider	Semantic Scholar
Author	Moraes, Ernandes Soares
Copyright Year	2015
Abstract	Distance Education has increasingly expanded in Brazil due to the evolution of information and communication technologies (ICT). Despite of this dissemination, distance education still has high evasion rates. This occurs, in most cases, due to the sense of isolation faced by the students, for the physical and social presence of the student in virtual educational environments is minimal; the difficulty in collaborating with pairs and the lack of adaptation to methodologies used in distance education. Several studies developed in the area of affective computing indicate that human psychological aspects such as personality, affection and emotion, when used in virtual learning environments, influence the interaction and increase collaboration among students. Based on the literature as well as on interviews conducted with teachers and students of the Instituto Federal da Paraiba (IFPB), this dissertation presents the analysis and the development of a system for recommending people (monitors and tutors) that takes into consideration the context and personality/temperament factors of the students to improve the process of collaboration in distance education. The experiments conducted with students of technical courses in environment, fishing and work safety at IFPB, have shown that the software developed in this work was efficient when the recommendations were generated considering the similarity of personality/temperament among students. Therefore, the results generated by the recommendations were highly rated by participants in this study and revealed that the level of satisfaction and the collaboration in virtual teaching environment improved significantly with the use of Affinity.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://repositorio.ufpe.br/bitstream/123456789/16329/1/Disserta%C3%A7%C3%A3o%20Final%20Ernandes.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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