Preparing Students for Drone Careers Using Active Learning Instruction

The exponential growth in the adoption of drones in various industrial applications has created a demand for professionals experienced in designing, programming, operating, and piloting drones. This paper reports on an active learning-based instructional approach that prepares students for careers i...

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Main Authors: Deepan Lobo, Drashti Patel, Jorim Morainvile, Prateek Shekhar, Pramod Abichandani
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9530413/
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author Deepan Lobo
Drashti Patel
Jorim Morainvile
Prateek Shekhar
Pramod Abichandani
author_facet Deepan Lobo
Drashti Patel
Jorim Morainvile
Prateek Shekhar
Pramod Abichandani
author_sort Deepan Lobo
collection DOAJ
description The exponential growth in the adoption of drones in various industrial applications has created a demand for professionals experienced in designing, programming, operating, and piloting drones. This paper reports on an active learning-based instructional approach that prepares students for careers in the drone industry. The approach focuses on three foundational pillars of drone careers: 1) drone programming using Python, 2) designing and fabricating drones using Computer-Aided Design (CAD) and rapid prototyping, and 3) the US Federal Aviation Administration (FAA) Part 107 Commercial small Unmanned Aerial Vehicles (sUAVs) pilot test. The approach was implemented and refined over four semesters in an undergraduate class attended by engineering and computer science students at a research institution located in the United States. A case study approach using multiple assessment methods was implemented to examine students’ gains in skills and knowledge and attitudes towards an active learning-based approach for drone education. Assessment methods included direct formative (FAA quizzes and programming assignments), direct summative (capstone project), indirect quantitative (survey of learning gains), and indirect qualitative (focus group interviews and capstone project process videos) tools. Assessment results noted in this paper indicate that students were actively engaged during the course and made positive gains in their learning outcomes.
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spelling doaj.art-77ed818fe3d9477c9124cc47415334ce2022-12-21T22:12:09ZengIEEEIEEE Access2169-35362021-01-01912621612623010.1109/ACCESS.2021.31105789530413Preparing Students for Drone Careers Using Active Learning InstructionDeepan Lobo0https://orcid.org/0000-0002-7434-8013Drashti Patel1Jorim Morainvile2Prateek Shekhar3https://orcid.org/0000-0001-6552-2887Pramod Abichandani4https://orcid.org/0000-0003-3572-4458Robotics and Data Laboratory (RADLab), Electrical and Computer Engineering, Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USARobotics and Data Laboratory (RADLab), Electrical and Computer Engineering, Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USARobotics and Data Laboratory (RADLab), Electrical and Computer Engineering, Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USASchool of Applied Engineering and Technology, Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USARobotics and Data Laboratory (RADLab), Electrical and Computer Engineering, Newark College of Engineering (NCE), New Jersey Institute of Technology, Newark, NJ, USAThe exponential growth in the adoption of drones in various industrial applications has created a demand for professionals experienced in designing, programming, operating, and piloting drones. This paper reports on an active learning-based instructional approach that prepares students for careers in the drone industry. The approach focuses on three foundational pillars of drone careers: 1) drone programming using Python, 2) designing and fabricating drones using Computer-Aided Design (CAD) and rapid prototyping, and 3) the US Federal Aviation Administration (FAA) Part 107 Commercial small Unmanned Aerial Vehicles (sUAVs) pilot test. The approach was implemented and refined over four semesters in an undergraduate class attended by engineering and computer science students at a research institution located in the United States. A case study approach using multiple assessment methods was implemented to examine students’ gains in skills and knowledge and attitudes towards an active learning-based approach for drone education. Assessment methods included direct formative (FAA quizzes and programming assignments), direct summative (capstone project), indirect quantitative (survey of learning gains), and indirect qualitative (focus group interviews and capstone project process videos) tools. Assessment results noted in this paper indicate that students were actively engaged during the course and made positive gains in their learning outcomes.https://ieeexplore.ieee.org/document/9530413/Small unmanned aerial vehiclessUAVseducationdronesSTEM educationengineering education
spellingShingle Deepan Lobo
Drashti Patel
Jorim Morainvile
Prateek Shekhar
Pramod Abichandani
Preparing Students for Drone Careers Using Active Learning Instruction
IEEE Access
Small unmanned aerial vehicles
sUAVs
education
drones
STEM education
engineering education
title Preparing Students for Drone Careers Using Active Learning Instruction
title_full Preparing Students for Drone Careers Using Active Learning Instruction
title_fullStr Preparing Students for Drone Careers Using Active Learning Instruction
title_full_unstemmed Preparing Students for Drone Careers Using Active Learning Instruction
title_short Preparing Students for Drone Careers Using Active Learning Instruction
title_sort preparing students for drone careers using active learning instruction
topic Small unmanned aerial vehicles
sUAVs
education
drones
STEM education
engineering education
url https://ieeexplore.ieee.org/document/9530413/
work_keys_str_mv AT deepanlobo preparingstudentsfordronecareersusingactivelearninginstruction
AT drashtipatel preparingstudentsfordronecareersusingactivelearninginstruction
AT jorimmorainvile preparingstudentsfordronecareersusingactivelearninginstruction
AT prateekshekhar preparingstudentsfordronecareersusingactivelearninginstruction
AT pramodabichandani preparingstudentsfordronecareersusingactivelearninginstruction