Educational Robotics as an incentive for Computational Thinking Learning: Systematic Literature Review

• Ana Carolina Sokolonski Instituto Federal de Educação Ciência e Tecnologia da Bahia
• Alirio Santos Sá Universidade Federal da Bahia
• Raimundo Jose de Araujo Macedo UFBA

DOI: https://doi.org/10.5753/cbie.sbie.2020.1503

Abstract

Many educators and institutions have considered Computational Thinking as essential for preparing future generations. As such, the development of Computational Thinking has been proposed and studied by means of distinct approaches, among them, the Educational Robotics (ER). ER uses basic robotics principles with the aim of developing skills not usually developed in schools. The ER can be an enabler of CT because it uses an active learning methodology to encourage student learning through playful teaching. The purpose of this article is to assess the state of the art in the field of ER and CT through a systematic literature review involving all levels of education, considering the world scenario and using quantitative and qualitative metrics. Published works that investigate the potential of joint education were evaluated, presenting an analysis of how the ER has been used to foster students’ CT and what are the open research fields.

Keywords: educational robotics, computational thinking, computational education

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