Re-Mar: Repository of Marine Learning Objects

  • André Behr Universidade dos Açores
  • José Cascalho Universidade dos Açores / GRIA e LIACC
  • Hélia Guerra Universidade dos Açores / NIDeS e Centro Algoritmi
  • Ana Costa Universidade dos Açores / CIBIO e InBIO
  • Manuela Parente Universidade dos Açores / CIBIO e InBIO
  • Andrea Botelho Universidade dos Açores / CIBIO e InBIO
  • Rosa Vicari UFRGS
  • Armando Mendes Universidade dos Açores / GRIA e LIACC


Current literature shows the lack of learning object repositories exclusively related to environmental education and that there is no predominant software. This paper presents Re-Mar, a marine learning object repository based on open source software. Re-Mar is a part of an effort to promote ocean literacy through educational content for students and teachers. The repository is supported by computational technologies to catalog and organize learning objects to retrieve and reuse. Our prototype shows that is possible to store, catalog, retrieve, and link learning objects to support environmental education and coping with learning objects lifecycle. This is the first step to future aggregation of linked data, ontologies, and artificial intelligence aspects.

Palavras-chave: Repository, Learning Objects, Metadata, OBAA


Behr, A., Primo, T., and Viccari, R. (2012). An ontology for the obaa metadata standard. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 23.

Buchanan, J., Pressick-Kilborn, K., and Maher, D. (2018). Promoting environmentaleducation for primary school-aged students using digital technologies. Eurasia Journalof Mathematics, Science and Technology Education, 15(2):15.

Cairns, J. (2002). Environmental monitoring for the preservation of global biodiversity: the role in sustainable use of the planet. International Journal of Sustainable Development and World Ecology, 9(2):135–150.

Coelho, H. and Primo, T. T. (2017). Exploratory apprenticeship in the digital age with aitools. Progress in Artificial Intelligence, 6(1):17–25.

DCMI (2020). Dcmi metadata terms. Technical report. Accessed december 2020.

Gluz, J. C. and Vicari, R. M. (2014). Rumo a uma plataforma semântica de conteúdos educacionais digitais: o modelo ontológico. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 25, page 993.

LTSC (2002). Ieee standard for learning object metadata (draft). ieee standard 1484.12.1.

Mendes, A. (2020). Sea-things: A project to improve the ocean literacy in the azores. Arquipelago-Life and Marine Sciences, pages 51–52.

Pounds, A. and Bostock, J. (2019). Open educational resources (oer) in higher education courses in aquaculture and fisheries: opportunities, barriers, and future perspectives. Aquaculture International, 27(3):695–710.

Ramadhan, S., Sukma, E., and Indriyani, V. (2019). Environmental education and disastermitigation through language learning. In IOP Conference Series: Earth and Environmental Science, volume 314, page 012054. IOP Publishing.

Saltidou, E. and Skoumios, M. (2017). Science practices in the science learning objects of the greek digital learning object repository. Journal of Education and Human Development, 6(4):17–29.

Vicari, R. M., Ribeiro, A., da Silva, J. M. C., Santos, E. R., Primo, T., and Bez, M.(2010). Brazilian proposal for agent-based learning objects metadata standard-obaa. In Metadata and Semantic Research, pages 300–311. Springer.

Wiley, D. A. (2000). Learning object design and sequencing theory. PhD thesis, Brigham Young University.
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BEHR, André; CASCALHO, José; GUERRA, Hélia; COSTA, Ana; PARENTE, Manuela; BOTELHO, Andrea; VICARI, Rosa; MENDES, Armando. Re-Mar: Repository of Marine Learning Objects. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 12. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 137-146. ISSN 2595-6124. DOI: