Pensamento computacional como uma aplicação em dados abertos conectados

Abstract

Data are increasingly present in our daily lives and can be represented in different ways and sources. Using open technologies it is possible for systems to be developed more quickly with the collaboration of anyone who has the necessary knowledge. Open data can be reused and distributed by anyone, but if evaluated in isolation it may not lead to the derivation of relevant information. In view of this, the use of connected open data becomes important, as they allow the crossing of data from different sources, processing this data to generate new information and knowledge. These characteristics make them a solution to problems arising from the lack of standardization and data interconnection. Computational Thinking (CP) is seen as knowledge introduced from the relationship between computing concepts, being applied in problem solving. The PC is worked at different levels of education by professionals from different areas, who seek to bring concepts and skills relevant to the development of the PC to education from the early years of teaching. However, its use results in divergences regarding the standardization of PC tasks, concepts and skills. Thus, this work proposes the creation and availability of a model capable of capturing and integrating multiple perspectives of authors on CP, in order to provide a way to standardize the various existing definitions. In this effort, we propose a domain ontology, expandable to accommodate the definition of several authors, and top ontologies, responsible for representing the views of authors with different perspectives. With this, we seek to demonstrate the expressiveness and scope of operation of the domain ontology developed. The developed model was tested in three typical PC scenarios, proving to be capable of modeling and integrating different authors’ points of view and linking resources of different natures according to their purposes and subjects. With the use of connected open data, it was possible to make the created model available on an endpoint, so that other users and applications can extend the proposed definitions with definitions from other authors or search for alternative resources that can be used to teach a certain skill.