Estado da arte em ambientes u-learning cientes de contexto: uma Revisão Sistemática da Literatura
Resumo
Ambientes u-learning tem como proposta o processamento contínuo das experiências de aprendizado, permitindo com que este se adapte as necessidades do estudante ao longo de sua vida. Motivado por este cenário, esse artigo tem o objetivo de apresentar o estado da arte em ambientes u-learning cientes de contexto. Para isso, é explorada uma Revisão Sistemática da Literatura. Nessa revisão são analisados trabalhos publicados entre 2012 e 2017. Durante o processo de revisão foram identificados 217 artigos, sendo selecionados ao final cinco trabalhos que propõem ambientes u-learning cientes de contexto. Os trabalhos selecionados são apresentados, discutidos e analisados.
Palavras-chave:
ambientes u-learning, contexto, aprendizado ao longo da vida, revisão sistemática, personalização do aprendizado
Referências
Adomavicius, G. and Tuzhilin, A. (2005). Personalization technologies: A process-oriented perspective. Communications of the ACM, 48(10):83-90.
Alegre, U., Augusto, J. C., and Clark, T. (2016). Engineering context-aware systems and applications: A survey. Journal of Systems and Software, 117:55-83.
Atif, Y., Mathew, S. S., and Lakas, A. (2015). Building a smart campus to support ubiquitous learning. Journal of Ambient Intelligence and Humanized Computing, 6(2):223-238.
Bedi, P., Banati, H., and Thukral, A. (2010). Social semantic retrieval and ranking of eresources. In 2010 International Conference on Advances in Recent Technologies in Communication and Computing, pages 343-347.
Biolchini, J., Mian, P. G., Natali, A. C. C., and Travassos, G. H. (2005). Systematic review in software engineering. System Engineering and Computer Science Department COPPE/UFRJ, Technical Report ES, 679(05):45.
Chiu, C.-K., Tseng, J. C., and Hsu, T.-Y. (2017). Blended context-aware ubiquitous learning in museums: Environment, navigation support and system development. Personal Ubiquitous Comput., 21(2):355-369.
Fischer, G. (2012). Context-aware systems: The "right" information, at the "right" time, in the "right" place, in the "right" way, to the "right" person. In Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI '12, pages 287-294, Capri Island, Italy. ACM.
Hijazi, H. W. and Itmazi, J. A. (2013). Crawler based context aware model for distributed e-courses through ubiquitous computing at higher education institutes. In Fourth International Conference on e-Learning "Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity", pages 9-14. IEEE.
Hsu, T.-Y., Chiou, C.-K., Tseng, J. C., and Hwang, G.-J. (2016). Development and evaluation of an active learning support system for context-aware ubiquitous learning. IEEE Transactions on Learning Technologies, 9(1):37-45.
Huang, Y.-M., Chiu, P.-S., Liu, T.-C., and Chen, T.-S. (2011). The design and implementation of a meaningful learning-based evaluation method for ubiquitous learning. Computers & Education, 57(4):2291-2302.
Hwang, G.-J. (2014). Definition, framework and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1):4.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Joint report, Keele University and Durham University.
Pernas, A. M., Gasparini, I., Pires, L. V., Lopes, J. L. B., Yamin, A. C., and de Oliveira, J. P. M. (2015). Integrated infrastructure for ubiquitous learning. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 10(3):92-99.
Sánchez Guinea, A., Nain, G., and Le Traon, Y. (2016). A systematic review on the engineering of software for ubiquitous systems. J. Syst. Softw., 118(C):251-276.
Selviandro, N., Sabariah, M. K., and Saputra, S. (2016). Context awareness system on ubiquitous learning with case based reasoning and nearest neighbor algorithm. In 4th International Conference on Information and Communication Technology.
Souabni, R., Saadi, I. B., Salah, N. B., Ghezala, H. B., et al. (2016). On the evaluation of quality of situation (qosi) in situation-aware ubiquitous learning environment. In Advanced Information Networking and Applications (AINA), pages 239-246. IEEE.
Wagner, A., Barbosa, J. L. V., and Barbosa, D. N. F. (2014). A model for profile management applied to ubiquitous learning environments. Expert Systems with Applications, 41(4):2023-2034.
Alegre, U., Augusto, J. C., and Clark, T. (2016). Engineering context-aware systems and applications: A survey. Journal of Systems and Software, 117:55-83.
Atif, Y., Mathew, S. S., and Lakas, A. (2015). Building a smart campus to support ubiquitous learning. Journal of Ambient Intelligence and Humanized Computing, 6(2):223-238.
Bedi, P., Banati, H., and Thukral, A. (2010). Social semantic retrieval and ranking of eresources. In 2010 International Conference on Advances in Recent Technologies in Communication and Computing, pages 343-347.
Biolchini, J., Mian, P. G., Natali, A. C. C., and Travassos, G. H. (2005). Systematic review in software engineering. System Engineering and Computer Science Department COPPE/UFRJ, Technical Report ES, 679(05):45.
Chiu, C.-K., Tseng, J. C., and Hsu, T.-Y. (2017). Blended context-aware ubiquitous learning in museums: Environment, navigation support and system development. Personal Ubiquitous Comput., 21(2):355-369.
Fischer, G. (2012). Context-aware systems: The "right" information, at the "right" time, in the "right" place, in the "right" way, to the "right" person. In Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI '12, pages 287-294, Capri Island, Italy. ACM.
Hijazi, H. W. and Itmazi, J. A. (2013). Crawler based context aware model for distributed e-courses through ubiquitous computing at higher education institutes. In Fourth International Conference on e-Learning "Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity", pages 9-14. IEEE.
Hsu, T.-Y., Chiou, C.-K., Tseng, J. C., and Hwang, G.-J. (2016). Development and evaluation of an active learning support system for context-aware ubiquitous learning. IEEE Transactions on Learning Technologies, 9(1):37-45.
Huang, Y.-M., Chiu, P.-S., Liu, T.-C., and Chen, T.-S. (2011). The design and implementation of a meaningful learning-based evaluation method for ubiquitous learning. Computers & Education, 57(4):2291-2302.
Hwang, G.-J. (2014). Definition, framework and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1):4.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Joint report, Keele University and Durham University.
Pernas, A. M., Gasparini, I., Pires, L. V., Lopes, J. L. B., Yamin, A. C., and de Oliveira, J. P. M. (2015). Integrated infrastructure for ubiquitous learning. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 10(3):92-99.
Sánchez Guinea, A., Nain, G., and Le Traon, Y. (2016). A systematic review on the engineering of software for ubiquitous systems. J. Syst. Softw., 118(C):251-276.
Selviandro, N., Sabariah, M. K., and Saputra, S. (2016). Context awareness system on ubiquitous learning with case based reasoning and nearest neighbor algorithm. In 4th International Conference on Information and Communication Technology.
Souabni, R., Saadi, I. B., Salah, N. B., Ghezala, H. B., et al. (2016). On the evaluation of quality of situation (qosi) in situation-aware ubiquitous learning environment. In Advanced Information Networking and Applications (AINA), pages 239-246. IEEE.
Wagner, A., Barbosa, J. L. V., and Barbosa, D. N. F. (2014). A model for profile management applied to ubiquitous learning environments. Expert Systems with Applications, 41(4):2023-2034.
Publicado
29/10/2018
Como Citar
MACHADO, Roger S.; ROSA, Felipe L. da; PRIMO, Tiago T.; PERNAS, Ana Marilza; YAMIN, Adenauer C..
Estado da arte em ambientes u-learning cientes de contexto: uma Revisão Sistemática da Literatura. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 29. , 2018, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
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p. 138-147.
DOI: https://doi.org/10.5753/cbie.sbie.2018.138.
