A Project Based Learning Approach for Improving Students' Computational Thinking Skills

• Published in: Frontiers in robotics and AI Vol. 9; p. 720448
• Main Authors: Bertacchini, Francesca, Scuro, Carmelo, Pantano, Pietro, Bilotta, Eleonora
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 07.03.2022
• Subjects: educational robotics; mathematica wolfram language; motor-behavior; project-based learning; Robotics and AI; social robots; project-based learning; motor-behavior; mathematica wolfram language; social robots; educational robotics
• ISSN: 2296-9144; 2296-9144
• DOI: 10.3389/frobt.2022.720448

An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the functions of the NAO robot as social and autonomous as possible, adopting in the design process the Wolfram Language (WL), from the Mathematica software. Interfacing the programming environment of the NAO with Mathematica, they solved in part the problem of autonomy of the NAO, thus realizing enhanced functions of autonomous movement, recognition of human faces and speech for improving the system social interaction. An external repository was created to streamline processes and stow data that the robot can easily access. Self-assessment processes demonstrated that the course provided students with useful skills to cope with real life problems. Cognitive aspects of programming by WL have also been collected in the students' feedback.