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Andrii Chervinchuk; Yuliia ?tamanenko; Yevheniia Pylypenko – Journal of Education and Learning (EduLearn), 2024
The article is devoted to the study of the issue of training future police officers to use unmanned aerial vehicles (UAVs) in their professional activities. Based on the results of the theoretical analysis of scientific and applied works, modern trends in the development of drones in the activities of law enforcement agencies were identified, and…
Descriptors: Aviation Technology, Aviation Mechanics, Robotics, Police Education
Pramod Abichandani; Deepan Lobo; Branislav Dimitrijevic; Ashish Borgaonkar; Jaskirat Sodhi; Smit Kabrawala; Daniel Brateris; Moshe Kam – Interactive Learning Environments, 2024
This paper presents a competition-based active learning approach that prepares undergraduate students for careers in the drone industry. The competition-based learning (CBL) approach focuses on preparing students for three key drone industry requirements (1) drone assembly, testing, and validation using commercial off-the-shelf (COTS) parts, (2)…
Descriptors: Active Learning, Competition, Undergraduate Students, Aviation Technology