Autor(es): Araújo, Cristiana ; Henriques, Pedro Rangel ; Cerqueira, João José
Data: 2023
Identificador Persistente: https://hdl.handle.net/1822/97817
Origem: RepositóriUM - Universidade do Minho
Assunto(s): Computational thinking; Ontology; OntoCnE; Learning resources
A Computational Thinking (CT) training program proposes a set of instruments to be used in the training, and also a set of recommendations on how to use them. To design such a program it is necessary to have a deep knowledge about the meaning of CT and its targets. Although CT skills are of paramount importance to all (since they bring numerous advantages for problem solving activities), in our context we see them as a pre-requisite for the learning of Computer Programming (CP). In order to design a CT training program supported by a rigorous framework, we decided to build an ontology that goes deeper into the underlying concepts and relates both domains, CT and CP. The outcome, OntoCnE (that stands for Ontologia para Computação na Escola in Portuguese), made clear what shall be trained in terms of reasoning to understand programming and being able to use it to solve problems using the computer. Moreover, OntoCnE also provides a clear insight on the concepts to be taught in each scholar year, as well as, on the instruments (hereafter called Learning Resources, LR) to be used in each moment for each specific purpose. This paper aims to introduce OntoCnE and demonstrates how to use it to classify LRs aiming to build a repository from where they can be picked up in a clear way. Finally, we demonstrate, through the PathIt resource, how the characterization of a concrete LR is performed in OntoCnE.
