ReviMobile - repositório de vídeos educacionais para m-learning utilizando agente conversacional

Detalhes bibliográficos
Ano de defesa: 2010
Autor(a) principal: Ribeiro, Patric da Silva
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
BR
Ciência da Computação
UFSM
Programa de Pós-Graduação em Informática
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/5364
Resumo: The technological progress has enabled a frequent use of videos by educators in the teaching-learning process. In order to conduct this work, a study on digital video (characteristics, formats, patterns, video conversions) was made, as well as a collection of data from different repositories of digital videos available. The analysis allowed the definition of improvements to be implemented in ReviMobile, and a study on conversational agents and m-learning was also conducted. This work consists in developing a repository of videos that adapts to the technological resource, that is, to the model of mobile device being used, performing all the necessary conversions (for example, from mp4 to wmv) in a transparent and automated way. This turns out to be a viable solution to the problems of execution of videos due to different video formats and languages of development, using the process of finding a conversational agent as information recommender. Therefore, the results benefit mainly teachers and students in the process of searching and viewing educational videos; that is, showing videos in the format that is compatible with the mobile device being used in a transparent and dynamic way. This work differs in relation to other video repositories in three factors: providing mobility, adaptation to different video formats of mobile devices and conversational agent as recommender of information.