journal article Open Access Mar 18, 2022

Teaching Innovation in STEM Education Using an Unmanned Aerial Vehicle (UAV)

Education Sciences Vol. 12 No. 3 pp. 224 · MDPI AG
View at Publisher Save 10.3390/educsci12030224
Abstract
The use of unmanned aerial vehicles (UAVs) has increased in the science, technology, engineering, and mathematics (STEM) professions. This means there is a growing need to integrate UAV training into STEM education. This study aimed to develop and evaluate a UAV education module and laboratory exercise for natural resource science students. The study used a series of reusable learning objects (RLOs) to assess students’ prior knowledge of remote sensing and UAVs. Students were taught the steps of UAV data acquisition and processing through lectures and UAV simulation videos. Students applied this knowledge by completing a laboratory exercise that used previously collected UAV data. Student knowledge retention and understanding were evaluated using an online quiz to determine the effectiveness of the education module. The average quiz score was 92%, indicating that the UAV laboratory exercise effectively taught students about UAV data acquisition and processing for natural resource research. Overall, students expressed positive opinions about the UAV education module. Student feedback indicated that the laboratory exercise was engaging, but some students would have preferred a hands-on experience for some parts of the exercise. However, in-person UAV instruction may not be accessible for all educators because of UAV cost or lack of instructor training. This study provides educators with crucial recommendations for designing UAV exercises to improve access to UAV-related educational content. This study indicates that online training can effectively introduce students to UAVs. Given the wide range of UAV uses across STEM fields, students in many STEM disciplines would benefit from UAV education.
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References
47
[1]
Federal Aviation Authority (2021, December 14). Unmanned Aircraft Systems, Available online: https://www.faa.gov/uas/2015.
[2]
Watts "Unmanned aircraft systems in remote sensing and scientific research: Classification and considerations of use" Remote Sens. (2012) 10.3390/rs4061671
[3]
Salami "UAV flight experiments applied to the remote sensing of vegetated areas" Remote Sens. (2014) 10.3390/rs61111051
[4]
AL-Tahir, R. (September, January 30). Integrating UAV into Geomatics Curriculum. The International Archives of the Photogrammetry, Proceedings of the Remote Sensing and Spatial Information Sciences, Toronto, ON, Canada.
[5]
Joyce, K.E., Meiklejohn, N., and Mead, P.C.H. (2020). Using minidrones to teach geospatial technology fundamentals. Drones, 4. 10.3390/drones4030057
[6]
King "New and emerging technologies: Teacher needs, adoption, methods, and student engagement" J. Agric. Educ. (2019) 10.5032/jae.2019.03277
[7]
Alkaabi "Applications of unmanned aerial vehicle (UAV) technology for research and education in UAE" Int. J. Soc. Sci. Hum. (2017)
[8]
Evaluating the introduction of unmanned Aerial Vehicles for teaching and learning in geoscience fieldwork education

Anthony D. Cliffe

Journal of Geography in Higher Education 2019 10.1080/03098265.2019.1655718
[9]
Finn "Privacy, data protection and ethics for civil drone practice: A survey of industry, regulators and civil society organizations" Comput. Law Secur. Rev. (2016) 10.1016/j.clsr.2016.05.010
[10]
Everaerts "The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping" Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.-ISPRS Arch. (2008)
[11]
Anthony, D., Elbaum, S., Lorenz, A., and Detweiler, C. (2014, January 14–18). On crop height estimation with UAVs. Proceedings of the International Conference on Intelligent Robots and Systems, Chicago, IL, USA. 10.1109/iros.2014.6943245
[12]
Berni "Thermal and narrowband multi-spectral remote sensing for vegetation monitoring from an unmanned aerial vehicle" IEEE Trans. Geosci. Remote Sens. (2009) 10.1109/tgrs.2008.2010457
[13]
Han, X., Thomasson, J.A., Bagnall, G.C., Pugh, N.A., Horne, D.W., Rooney, W.I., Jung, J., Change, A., Malambo, L., and Popescu, S.C. (2018). Measurement and calibration of plant-height from fixed-wing UAV images. Sensors, 18. 10.3390/s18124092
[14]
Berni "Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera" Remote Sens. Environ. (2012) 10.1016/j.rse.2011.10.007
[15]
Rueda-Ayala, V.P., Pena, J.M., Hoglind, M., Bengochea-Guevara, J.M., and Andujar, D. (2019). Comparing UAV-based technologies and RGB-D reconstruction methods for plant height and biomass monitoring on grass ley. Sensors, 19. 10.3390/s19030535
[16]
Krause, S., Sanders, T.G.M., Mund, J., and Greve, K. (2019). UAV-based photogrammetric tree height measurement for intensive forest monitoring. Remote Sens., 11. 10.3390/rs11070758
[17]
Corte, A.P.D., Rex, F.E., Alves de Almeida, D.R., Sanquetta, C.R., Silva, C.A., Moura, M.M., Wilkinson, B., Zambrano, A.M.A., Neto, E.M.C., and Veras, H.F.P. (2020). Measuring individual tree diameter and height using Gatoreye high-density UAV-LiDAR in an integrated crop-livestock-forest system. Remote Sens., 12. 10.3390/rs12050863
[18]
Jin, C., Oh, C., Shin, S., Njungwi, N.W., and Choi, C. (2020). A comparative study to evaluate accuracy on canopy height and density using UAV, ALS, and fieldwork. Forests, 11. 10.3390/f11020241
[19]
Dunford "Potential and constraints of unmanned aerial vehicle technology for the characterization of Mediterranean riparian forest" Int. J. Remote Sens. (2009) 10.1080/01431160903023025
[20]
Siewert "Scale-dependency of Arctic ecosystem properties revealed by UAV" Environ. Res. Lett. (2020) 10.1088/1748-9326/aba20b
[21]
Frakenberger, J.R., Huang, C., and Nouwakpo, K. (2008, January 7–11). Low-altitude digital photogrammetry technique to assess ephemeral gully erosion. Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA. 10.1109/igarss.2008.4779670
[22]
Marzolff "Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco" Remote Sens. (2012) 10.3390/rs4113390
[23]
Eltner "Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil" Earth Surf. Proc. Land (2015) 10.1002/esp.3673
[24]
Bernard "Using a small COTS UAV to quantify moraine dynamics inducted by climate shift in Arctic environments" Int. J. Remote Sens. (2016)
[25]
Hodgson "Precision wildlife monitoring using unmanned aerial vehicles" Sci. Rep. (2016) 10.1038/srep22574
[26]
Fortuna, J., Ferreira, F., Gomes, R., Ferreira, S., and Sousa, J. (2013, January 20–22). Using low cost open source UAVs for marine wild life monitoring. Proceedings of the 2nd IFAC Workshop on Research, Education, and Development of Unmanned Aerial Systems, Compiegne, France.
[27]
Mangewa, L.J., Ndakidemi, P.A., and Munishi, L.K. (2019). Integrating UAV technology in an ecological monitoring system for community wildlife management areas in Tanzania. Sustainability, 11. 10.3390/su11216116
[28]
Sona "Experimental analysis of different software packages for orientation and digital surface modeling from UAV images" Earth Sci. Inform. (2014) 10.1007/s12145-013-0142-2
[29]
Pena "Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards" Precision Agric. (2018) 10.1007/s11119-017-9502-0
[30]
Gebrehiwot, A.A., and Hashemi-Beni, L. (2021). Three-dimensional inundation mapping using UAV image segmentation and digital surface model. ISPRS Int. J. Geo-Inf., 10. 10.3390/ijgi10030144
[31]
Eriksen "Accessible aerial robotics" J. Comput. Sci. (2014)
[32]
Nitschke, C., Minami, Y., Hiromoto, M., Ohshima, H., and Sato, T. (2014, January 22–25). A quadrocopter automatic control contest as an example of interdisciplinary design education. Proceedings of the 14th International Conference on Control, Automation and Systems (ICCAS), Seoul, Korea. 10.1109/iccas.2014.6987866
[33]
He, Y., Lu, H., Song, Y., and Liu, L. (2021, January 19–21). Design and implementation of virtual simulation experiment system for acquisition and production of UAV real-scene 3D data. Proceedings of the IEEE 4th International Conference on Automation, Electronics, and Electrical Engineering, Shenyang, China. 10.1109/auteee52864.2021.9668831
[34]
Valderrama "Development of intelligent reusable learning objects for web-based education systems" Expert Syst. Appl. (2005) 10.1016/j.eswa.2004.09.003
[35]
(2021). ArcGIS Pro: Release 9.1, Environmental Systems Research Institute.
[36]
(2021, December 16). Metashape; Agisoft. Available online: https://www.agisoft.com/.
[37]
Clemson University (2021). Undergraduate Catalog System, Clemson University.
[38]
Mesas-Carrascosa, F.J., Porras, F.P., Trivino-Tarradas, P., Merono de Larriva, J.E., and Garcia-Ferrer, A. (2019). Project-based learning applied to unmanned aerial systems and remote sensing. Remote Sens., 11. 10.3390/rs11202413
[39]
Gillani "From droughts to drones: An after-school club uses drones to learn about environmental science" Sci. Child. (2015) 10.2505/4/sc15_053_02_50
[40]
He, X., Hua, X., Montillet, J.P., Yu, K., Zou, J., Xiang, D., Zhu, H., Zhang, D., Huang, Z., and Zhao, B. (2019). An innovative virtual simulation teaching platform on digital mapping with unmanned aerial vehicle for remote sensing education. Remote Sens., 11. 10.20944/preprints201912.0106.v1
[41]
Stoker "Review of the current state of UAV regulations" Remote Sens. (2017) 10.3390/rs9050459
[42]
Giurato "UAV lab: A multidisciplinary UAV design course" IFAC PapersOnLine (2019) 10.1016/j.ifacol.2019.11.291
[43]
Williams "The sky is the limit: Reconstructing physical geography from an aerial perspective" J. Geogr. High. Educ. (2017) 10.1080/03098265.2016.1241986
[44]
(2022, January 12). DroneDeploy. Available online: https://www.dronedeploy.com.
[45]
(2022, January 14). DJITerra. DJI. Available online: https://www.dji.com/dji-terra.
[46]
(2022, January 14). Pix4Dmapper. Pix4D. Available online: https://www.pix4d.com/product/pix4dmapper-photogrammetry-software.
[47]
(2022, January 12). WebODM. Open Drone Map. Available online: https://www.opendronemap.org/webodm/.
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Published
Mar 18, 2022
Vol/Issue
12(3)
Pages
224
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Cite This Article
Madeleine M. Bolick, Elena A. Mikhailova, Christopher J. Post (2022). Teaching Innovation in STEM Education Using an Unmanned Aerial Vehicle (UAV). Education Sciences, 12(3), 224. https://doi.org/10.3390/educsci12030224
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