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Previous issue date: 2015-08-06 / O uso de dispositivos m oveis v^em aumentando signi cativamente nos ultimos anos.
Outra tend^encia e a consolida c~ao no uso Tecnologias Digitais da Informa c~ao e Comunica
c~ao para ns educacionais. Estes cen arios juntos possibilitam novas formas de comunica
c~ao entre professores e alunos, como, por exemplo, a recomenda c~ao de conte udos
educacionais e colabora c~ao utilizando dispositivos m oveis. Este trabalho mostra uma arquitetura,
chamada CALearning, que re une as principais caracter sticas para um sistema
de aprendizado m ovel, como promover a colabora c~ao (recomenda c~ao e avalia c~ao de conte
udos) entre os alunos e fazer a recomenda c~ao de conte udos de acordo com o estilo de
aprendizagem e prefer^encias do usu ario. A arquitetura tamb em faz uso de informa c~oes
de contexto para recomendar conte udos adaptados de acordo com as caracter sticas de
acesso a Internet (taxa de transmiss~ao) e deslocamento do aluno durante sua intera c~ao
com o aplicativo. Como prova de conceito foi desenvolvido tr^es sistemas chamados CALearningDroid,
CALearningWeb e CALearningWS, baseado na arquitetura proposta / The use of mobile devices have increased signi cantly in recent years. Another trend
is the consolidation in using Digital Technologies of Information and Communication
for educational purposes. These scenarios together enable new forms of communication
between teachers and students, for example, the recommendation of educational content
and collaboration using mobile devices. This work shows an architecture called CALearning,
which brings together the main features for a mobile learning system as promote
collaboration (recommendation and content evaluation) among students and to do the
content recommendation according to the learning style and user's preferences. The architecture
also does use of context information to recommend content tailored according
to the Internet access features (transmission rate) and displacement of the learner during
their interaction with the application. As proof of concept, was developed three systems
called CALearningDroid, CALearningWeb and CALearningWS, based in the proposed
architecture.
| Identifer | oai:union.ndltd.org:IBICT/oai:hermes.cpd.ufjf.br:ufjf/118 |
| Date | 06 August 2015 |
| Creators | Reis, Gustavo Henrique da Rocha |
| Contributors | Barrére, Eduardo, Moreno, Marcelo Ferreira, Soares Neto, Carlos de Salles |
| Publisher | Universidade Federal de Juiz de Fora, Programa de Pós-graduação em Ciência da Computação, UFJF, Brasil, ICE – Instituto de Ciências Exatas |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFJF, instname:Universidade Federal de Juiz de Fora, instacron:UFJF |
| Rights | info:eu-repo/semantics/openAccess |
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