Model for Knowledge Representation in Computational Thinking

• Ândrea V. Garcez Federal University of Pelotas
• Braz A. S. Junior Federal University of Pelotas http://orcid.org/0000-0002-1637-5320
• Ana M. Pernas Federal University of Pelotas https://orcid.org/0000-0001-8142-817X
• Simone A. da C. Cavalheiro Federal University of Pelotas https://orcid.org/0000-0002-7442-7379
• Luciana Foss Federal University of Pelotas https://orcid.org/0000-0002-0473-4111

DOI: https://doi.org/10.5753/sbie.2022.225027

Abstract

Computational Thinking (CT) is worked on by professionals from different areas, who seek to develop CT concepts and skills in different levels of education. However, its use results in divergences regarding the standardization of tasks, concepts and skills. A possible solution is to model the CT concepts and make them available as linked open data. Thus, an ontology-based knowledge model was created to represent and integrate multiple authors' perspectives on CT. The model was tested in typical scenarios, proving to be capable of representing different authors' points of view and linking resources of different natures according to their purposes. The model developed was made available openly for use by the community.

Keywords: Computational Thinking, ontologies, linked open data

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