Um Modelo de Recomendação Ubíqua de Conteúdo para Grupos de Aprendizes
Resumo
A necessidade do professor buscar e selecionar materiais educacionais adequados para sua turma é um fato comum no meio educacional. Entretanto, a grande disponibilidade de materiais, a heterogeneidade dos perfis dos alunos e a diversidade de atividades pedagógicas que podem ser realizadas, tornam esta tarefa bastante trabalhosa. Neste cenário, este artigo propõe um modelo de recomendação ubíqua de conteúdo educacional para grupos de aprendizes, que visa auxiliar o professor no processo de busca e seleção de materiais educacionais levando em conta os perfis dos alunos e o contexto onde eles estão inseridos.
Palavras-chave:
Recomendação Ubíqua, Conteúdo Educacional, Grupos de Aprendizes
Referências
Akbulut, Y. e Cardak, C. S. (2012) Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Elsevier, Computers & Education, v. 58, n. 2, p. 835-842.
Barbosa, J. L. V. (2011) Ubiquitous Learning Model Focused on Learner Integration. International Journal of Learning Technology (Print), v. 6, n. 1, p. 62-83.
Bauer, B. e Odell, J. (2005) UML 2.0 and Agents: How to Build Agent-based Systems with the new UML Standard. Journal of Engineering Applications of Artificial Intelligence, v. 18, n. 2, p. 141-157.
Boratto, L., Carta, S. e Satta, M. (2010) Group Identification and Individual Recommendations in Group Recommendation Algorithms. Workshop on The Practical Use of Recommender Systems, Algorithms and Technologies. RecSys: ACM International Conference on Recommender Systems, Barcelona, Espanha.
Christensen, I. A. e Schiaffino, S. (2011) Entertainment recommender systems for group of users. Elsevier, Expert Systems with Applications, v. 38, n. 11, p. 14127-14135.
Dey, A. K. (2001) Understanding and using context. Personal and Ubiquitous Computing, v. 5, n. 1, p. 4-7.
Felder, R. M. e Silverman, L. (1988) Learning and teaching styles in engineering education. Engineering Education, v. 78, n. 7, p. 674-681.
Gruber, T. (2003) What is an ontology. Disponível em: [link]. Acessado em Agosto 2013.
Guedes, G. T. A. (2011) Um Metamodelo UML para a Modelagem de Requisitos em Projetos de Sistemas MultiAgentes. Tese de Doutorado, UFRGS.
Kim, J. K. (2009) A group recommendation system for online communities. Elsevier, International Journal of Information Management, v. 30, n. 3, p. 212–219.
Levenshtein, V. I. (1966) Binary codes capable of correcting deletions, insertions. Soviet Physics Doklady, v. 10, n. 8, p. 707-710.
Wooldridge, M. (2002). An introduction to multiagent systems. John Wiley and Sons, Ltd., England, p. 15-103.
Papi. (2000) Standard for Learning Technology. Public and Private Information (PAPI) for Learners (PAPI learner). IEEE, Learning Technology Standardization Committee (LTSC). Disponível em: [link]. Acessado em Agosto 2013.
Peterson, E. R., Rayner, S. G. e Armstring, S. J. (2009) Researching the psychology of cognitive style and learning style: Is there really a future? Elsevier, Learning and Individual Differences, v. 19, n. 4, p. 518-523.
Satyanarayanan, M. (2001) Pervasive Computing: vision and challenges. IEEE Personal, v. 8, n. 4, p. 10–17.
Weiser, M. (1991) The Computer for the Twenty-First Century. Scientific American, v. 265, n. 3, p. 94–104.
Wiley, D. A. (2000) Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed.), The Instructional Use of Learning Objects. Disponível em: [link]. Acessado em Agosto 2013.
Barbosa, J. L. V. (2011) Ubiquitous Learning Model Focused on Learner Integration. International Journal of Learning Technology (Print), v. 6, n. 1, p. 62-83.
Bauer, B. e Odell, J. (2005) UML 2.0 and Agents: How to Build Agent-based Systems with the new UML Standard. Journal of Engineering Applications of Artificial Intelligence, v. 18, n. 2, p. 141-157.
Boratto, L., Carta, S. e Satta, M. (2010) Group Identification and Individual Recommendations in Group Recommendation Algorithms. Workshop on The Practical Use of Recommender Systems, Algorithms and Technologies. RecSys: ACM International Conference on Recommender Systems, Barcelona, Espanha.
Christensen, I. A. e Schiaffino, S. (2011) Entertainment recommender systems for group of users. Elsevier, Expert Systems with Applications, v. 38, n. 11, p. 14127-14135.
Dey, A. K. (2001) Understanding and using context. Personal and Ubiquitous Computing, v. 5, n. 1, p. 4-7.
Felder, R. M. e Silverman, L. (1988) Learning and teaching styles in engineering education. Engineering Education, v. 78, n. 7, p. 674-681.
Gruber, T. (2003) What is an ontology. Disponível em: [link]. Acessado em Agosto 2013.
Guedes, G. T. A. (2011) Um Metamodelo UML para a Modelagem de Requisitos em Projetos de Sistemas MultiAgentes. Tese de Doutorado, UFRGS.
Kim, J. K. (2009) A group recommendation system for online communities. Elsevier, International Journal of Information Management, v. 30, n. 3, p. 212–219.
Levenshtein, V. I. (1966) Binary codes capable of correcting deletions, insertions. Soviet Physics Doklady, v. 10, n. 8, p. 707-710.
Wooldridge, M. (2002). An introduction to multiagent systems. John Wiley and Sons, Ltd., England, p. 15-103.
Papi. (2000) Standard for Learning Technology. Public and Private Information (PAPI) for Learners (PAPI learner). IEEE, Learning Technology Standardization Committee (LTSC). Disponível em: [link]. Acessado em Agosto 2013.
Peterson, E. R., Rayner, S. G. e Armstring, S. J. (2009) Researching the psychology of cognitive style and learning style: Is there really a future? Elsevier, Learning and Individual Differences, v. 19, n. 4, p. 518-523.
Satyanarayanan, M. (2001) Pervasive Computing: vision and challenges. IEEE Personal, v. 8, n. 4, p. 10–17.
Weiser, M. (1991) The Computer for the Twenty-First Century. Scientific American, v. 265, n. 3, p. 94–104.
Wiley, D. A. (2000) Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed.), The Instructional Use of Learning Objects. Disponível em: [link]. Acessado em Agosto 2013.
Publicado
25/11/2013
Como Citar
FERREIRA, Luís Gustavo Araujo; VICTÓRIA BARBOSA, Jorge Luis; GLUZ, João Carlos.
Um Modelo de Recomendação Ubíqua de Conteúdo para Grupos de Aprendizes. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 24. , 2013, Campinas/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 697-706.
DOI: https://doi.org/10.5753/cbie.sbie.2013.697.
