The effectiveness of using educational robots in enhancing engineering mathematics skills among students in basic school

Sabah Jamil Al-Nawaiseh (), Ahmad A S Tabieh (), Waleed Fayiz Maqableh (), Manal Altawalbeh () and Fadi Bani Ahmad ()

International Journal of Education and Practice, 2024, vol. 12, issue 3, 906-921

Abstract: Educational robots foster engaging, democratic, and collaborative learning environments, enhancing students' mathematical and engineering abilities by enabling them to interact, solve problems, assimilate information, and communicate effectively within the classroom. This study aims to examine the impact of educational robots on the development of engineering mathematics skills. The study uses a quantitative approach with a quasi-experimental design for a single pre- and post-test group. The sample consisted of 40 fifth grade students who initially studied geometry using traditional methods, followed by studying the same content using the educational robot. The study found that robot-based education significantly improved engineering mathematics skills. It was concluded that using educational robotics as a tool for teaching mathematics improved computational thinking, engineering mathematics, motivation, creativity, cooperation, and teamwork. It is possible to argue that the study's results corroborate relevant research showing how educational robots raise students' academic performance and improve their critical thinking. These results lend credence to the idea that educational robots improve learning beyond traditional approaches by actively involving students, giving subjects greater concreteness, and capturing their interest and attention. The study recommends the creation of new mathematical activities using educational robots across various mathematical contents and educational stages, further enhancing engineering mathematics among students.

Keywords: Basic students; Collaborative learning; Computational thinking; Educational robots; Engineering mathematics skills; Problem solving. (search for similar items in EconPapers)
Date: 2024
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