SEA-THINGS – Objetos de Aprendizagem para Promover a Literacia Oceânica


SEA-THINGS – Objetos de Aprendizagem para Promover a Literacia Oceânica




The seaThings project aims to increase quality scientific production and oriented to smart specialization, expand sea and marine literacy in schools, science centers and society in general by providing science-driven content added by researchers, teachers, students and science disseminators to a repository of learning objects created by the project. Supported by the OBBA standard (Vicari 2010), this project ensures advanced searching and authoring support techniques based in artificial intelligence, also intends to create a repository federation (FED-SEA-Things), making it a powerful tool for learning and sharing.

To achieve this goal, the project:

  1. uses cutting-edge technology of Learning Object Repositories (LORs) for adequacy and visibility of contents and its lifecycle, providing artificial intelligence tools such as intelligent search engines, authoring tools and adapted interfaces;
  2. create and spread knowledge on the marine environment with the contribution of local specialists, schools and other learning institutions connected to the project and congregating different resources from previous initiatives or active related projects;
  3. provides Learning Object (LOs) for the different levels of education. Because the participation of the schools and science centers will contribute to populate the LOR, there is no restrictions to the level of the LOs produced, although the identification of the target of the LO is added to the metadata.
  4. provides a federation of repositories concerning the marine environment and ocean subjects using interfaces suitable for different users and supporting a collaborative interaction among users and authors.


BENEFICIARIES: Universidade dos Açores e a Fundação Gaspar Frutuoso

TOTAL AMOUNT: 179 996,72€



The SeaThings project aims to promote ocean literacy through the active involvement of researchers from different universities, schools and science centers in the region, in creating Learning Objects (LOs) on the oceans and making them available on the web in an open access repository. Using artificial intelligence technologies, tools will be developed to support research, creation and management of LOs.

The Learning Technology Standards Committee uses a Learning Objects standard (IEEE Standard 1484.12.1) defined as any digital or non-digital entity that can be used for learning, education or training. This definition is complemented by the following key features: reusable - a single learning object can be used in multiple contexts for multiple purposes; self-sufficient - each learning object can be taken independently; aggregation - learning objects can be grouped into larger collections of content, including traditional course structures; Metadata - Each learning object has descriptive information that allows it to be easily found by a search.

Based on the IEEE LOM standard, a new Agent Based Learning Objects (OBAA) standard has been proposed by extending metadata (Vicari 2010) to add support for multiple platforms (such as digital TV and mobile device platforms), allowing the construction of interoperable learning objects, to include new fields in education that promote collaborative experience in the use of LOs; to add accessibility by covering most requirements for the use of different devices for citizens with special needs; and finally, to add segmentation information, making it possible to index segments of a learning object by subject, highlight or activity (Athanasiadis, 2010).

Vicari R.M., Ribeiro A., da Silva J.M.C., Santos E.R., Primo T., Bez M. (2010) “Brazilian Proposal for Agent-Based Learning Objects Metadata Standard – OBAA” In: Sánchez-Alonso S., Athanasiadis I.N. (eds) “Metadata and Semantic Research” MTSR 2010. Communications in Computer and Information Science, vol 108. Springer, Berlin, Heidelberg



The project will achieve the following results:

(1) A repository with open access Learning Objects integrated in a federation;

(2) A set of authors available to develop learning objects and register them in the repository and a community of system users;

(3) A smart toolkit to assist the authoring process, namely able to analyze the description of LOs and propose a cataloging;

(4) A recommendation system to help registered users cover different topics for a complete understanding of the different dimensions of ocean literacy, supported by a multi-agent system;

(5) Time analysis of the used LOs will provide data on federation search engine and LOs usage, as well as the number of new LOs to be added to the repository.

(6) In addition to the active participation of schools and science centers, it is estimated that at least 6 journal articles and 6 national and international papers will be published, and two prototypes of technology applied to Artificial Intelligence will be created.