QuadLab

Abstract

It is frequently claimed that the students must have an active role in building and transforming their own knowledge, and the teacher's labor is to provide the students the necessary tools in order to reach specific learning objectives, included in a course program. This paper presents an aerial robotic system as a toolkit, and proposes a series of activities focused on the learning in automation and robotics. These proposed activities have been designed based upon the project-based learning methodology, and they facilitate the achievement of the learning objectives presented by Spanish automation committee(CEA) in conjunction with The International Society of Automation (ISA) to satisfy the Accreditation Board for Engineering and Technology (ABET) standard. The toolkit and the activities are oriented to impulse

Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation

“…In the context of engineering and computing, literature mentions following approaches active learning [60], cooperative and collaborative leaning [4], service learning [61] and skills-based learning [62], among others. Active learning methodologies such as problem-based learning [63], project-based learning [64] and case-based learning [46] provide students opportunity to dynamically participate in the learning process as opposed to being passive listeners. One study points that active learning scaffolded through case studies may solve the problems of relevance and disconnected knowledge [60].…”

PL-TOON: A Low-Cost Experimental Platform for Teaching and Research on Decentralized Cooperative Control

“…In the context of control system laboratories, much effort has been made in recent years to implement robotic kits as tools in aiding with the learning process of secondary and higher educations students (See for instance [ 26 ] for a review of modular robotic kits for teachers). A Project-based learning toolkit and Matlab-based applications for teaching, both using quadrotors, were recently explored in [ 27 , 28 ] respectively. The work [ 29 ] reports Arduino-based projects for improving automatic control learning.…”