LOMc: Uma Extensão ao LOM para a Descrição de Recursos Educacionais Baseada no Desenvolvimento de Competências
Abstract
To overcome the challenge of translating curricular principles of the traditional teaching model into concrete learning materials with competencies, this article presents a proposed extension of the IEEE LOM metadata model, called LOMC, which aims to describe educational resources accurately and completely, considering the learning needs and objectives of competency-based learning. It also presents an annotation process to document educational resources with competence metadata, demonstrating the use of LOMC, its interoperability and semantic range.References
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Bremgartner, V., Netto, J. F., and De Menezes, C. (2015). Explorando arquiteturas pedagógicas recomendadas por meio de agentes e ontologia de modelo do aluno em ambientes virtuais de aprendizagem. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 26, page 1157.
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Paquette, G., Marino, O., and Bejaoui, R. (2021). A new competency ontology for learning environments personalization. Smart Learning Environments, 8(1):16.
Psyrra, G. and Mangina, E. (2022). Harvesting metadata for xr digital learning objects. In International Workshop on Higher Education Learning Methodologies and Technologies Online, pages 561–576. Springer.
Sampson, D. and Fytros, D. (2008). Competence based educational metadata for supporting lifelong competence development programmes. In 2008 Eighth IEEE International Conference on Advanced Learning Technologies, pages 288–292. IEEE.
Sampson, D. G. (2009). Competence-related metadata for educational resources that support lifelong competence development programmes. Journal of Educational Technology & Society, 12(4):149–159.
Simon, A., Behar, P. A., Torrezzan, C. A. W., Slodkowski, B. K., Cazella, S. C., and Schneider, D. (2020). Modelagem de uma ontologia de domínio com foco em competências para sistemas de recomendação na educação. Revista brasileira de informática na educação. Florianópolis. Vol. 28 (2020), p. 644-663.
Vicari, R. M., Bez, M. R., Behar, P. A., Silva, J. M. C. d., Ribeiro, A. M., Gluz, J. C., Passerino, L. M., Santos, E. R., Primo, T. T., Rossi, L. H. L., et al. (2010). Proposta brasileira de metadados para objetos de aprendizagem baseados em agentes (obaa). RENOTE: revista novas tecnologias na educacao [recurso eletronico]. Porto Alegre, RS.
Wieringa, R. (2009). Design science as nested problem solving. In Proceedings of the 4th international conference on design science research in information systems and technology, pages 1–12.
Behar, P. A., Silva, K. K. A. d., Schneider, D., Cazella, S. C., Torrezzan, C. A. W., and Heis, E. (2015). Development and system assessment of learning object recommendation based on competency. In 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Proceedings. Lisboa: SCITEPRESS, 2015.
Bremgartner, V., Netto, J. F., and De Menezes, C. (2015). Explorando arquiteturas pedagógicas recomendadas por meio de agentes e ontologia de modelo do aluno em ambientes virtuais de aprendizagem. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 26, page 1157.
Clear, A., Clear, T., Vichare, A., Charles, T., Frezza, S., Gutica, M., Lunt, B., Maiorana, F., Pears, A., Pitt, F., et al. (2020). Designing computer science competency statements: A process and curriculum model for the 21st century. In Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, pages 211–246.
de Paula, L. B., de Deus, W. S., and Barbosa, E. F. (2020). Análise de repositórios de reas em relação ao uso dos padrões de linked open data. In Anais do XXXI Simpósio Brasileiro de Informática na Educação, pages 312–321. SBC.
Force, A. D. S. T. (2021). Computing Competencies for Undergraduate Data Science Curricula. Association for Computing Machinery, New York, NY, USA.
Impagliazzo, J. and Pears, A. N. (2018). The cc2020 project—computing curricula guidelines for the 2020s. In 2018 IEEE Global Engineering Education Conference (EDUCON), pages 2021–2024. IEEE.
Lacerda, D. P., Dresch, A., Proença, A., and Antunes Júnior, J. A. V. (2013). Design science research: método de pesquisa para a engenharia de produção. Gestão & produção, 20:741–761.
Leidig, P. M. and Salmela, H. (2022). The acm/ais is2020 competency model for undergraduate programs in information systems: A joint acm/ais task force report. Communications of the Association for Information Systems, 50(1):25.
Paquette, G. (2016). Competency-based personalization process for smart learning environments.
Paquette, G., Marino, O., and Bejaoui, R. (2021). A new competency ontology for learning environments personalization. Smart Learning Environments, 8(1):16.
Psyrra, G. and Mangina, E. (2022). Harvesting metadata for xr digital learning objects. In International Workshop on Higher Education Learning Methodologies and Technologies Online, pages 561–576. Springer.
Sampson, D. and Fytros, D. (2008). Competence based educational metadata for supporting lifelong competence development programmes. In 2008 Eighth IEEE International Conference on Advanced Learning Technologies, pages 288–292. IEEE.
Sampson, D. G. (2009). Competence-related metadata for educational resources that support lifelong competence development programmes. Journal of Educational Technology & Society, 12(4):149–159.
Simon, A., Behar, P. A., Torrezzan, C. A. W., Slodkowski, B. K., Cazella, S. C., and Schneider, D. (2020). Modelagem de uma ontologia de domínio com foco em competências para sistemas de recomendação na educação. Revista brasileira de informática na educação. Florianópolis. Vol. 28 (2020), p. 644-663.
Vicari, R. M., Bez, M. R., Behar, P. A., Silva, J. M. C. d., Ribeiro, A. M., Gluz, J. C., Passerino, L. M., Santos, E. R., Primo, T. T., Rossi, L. H. L., et al. (2010). Proposta brasileira de metadados para objetos de aprendizagem baseados em agentes (obaa). RENOTE: revista novas tecnologias na educacao [recurso eletronico]. Porto Alegre, RS.
Wieringa, R. (2009). Design science as nested problem solving. In Proceedings of the 4th international conference on design science research in information systems and technology, pages 1–12.
Published
2023-11-06
How to Cite
SANTANA, Jessica de S.; GOMES, Edeyson de A.; SALVADOR, Laís do N.; SEIXAS, Luma da R..
LOMc: Uma Extensão ao LOM para a Descrição de Recursos Educacionais Baseada no Desenvolvimento de Competências. In: BRAZILIAN SYMPOSIUM ON COMPUTERS IN EDUCATION (SBIE), 34. , 2023, Passo Fundo/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 345-356.
DOI: https://doi.org/10.5753/sbie.2023.235076.
