RaspyLab: A Low-Cost Remote Laboratory to Learn Programming and Physical Computing Through Python and Raspberry Pi

• Published in: IEEE-RITA Vol. 17; no. 2; pp. 140 - 149
• Main Authors: Ariza, Jonathan Alvarez, Gil, Sergio Gonzalez
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.05.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; COVID-19; Curricula; Distance learning; Education; Engineering education; Hardware; Laboratories; Low cost; Machine learning; Mathematical logic; physical computing; Problem based learning; problem-based learning (PBL); programming; Programming languages; Programming profession; Python; Questions; Raspberry Pi; Remote laboratories; Remote laboratory; Robot arms; Robot sensing systems; Robots; Students; Technology Acceptance Model; Technology utilization; Temperature sensors

This article describes the development and assessment of RaspyLab which is a low-cost Remote Laboratory (RL) to learn and teach programming with Raspberry Pi and Python language. The RL is composed of 16 stations or nodes that contain hardware components such as display LCD, robotic arm, temperature...