Learning-IoT: Methodological Framework for Remote Robotics Teaching

Abstract

Much has been discussed recently about the implications and strategies adopted by higher education institutions concerning the realization of online practical classes due to COVID-19. Some teaching institutions used virtual meetings to reorganize the lesson plan to continue teaching and assessing the students due to the suspension of face-to-face classes due to this epidemic. Although the most adopted strategy among the courses has been direct communication between students and professors through e-mail, telephone, social networks, and message apps, education lives in a time when transitions seem to occur much faster than in recent decades. For example, online engineering courses, specifically robotics, face difficulty implementing practical activities online because the educational tools available remotely are scarce or very expensive, thus becoming an obstacle to circumvent. Given this, this article presents a methodological strategy for the teaching-learning practices of engineering through Learning-IoT. This is a methodology for teaching robotics using the Internet of Industrial Things (IIoT) concepts. It enables the connection of the student to a Physical Objects Framework proposed in practical online activities and by the project method responsible for stimulating critical thinking. Thus, the initial ergonomic interface test experiments and usability of the proposed methodology demonstrated in the experiments in online practical classes that memorization and decision-making fit new possibilities or functionalities.